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    American Political Science Review Vol. 104, No. 3 August 2010

    doi:10.1017/S0003055410000195

    Regime Type, the Fate of Leaders, and WarALEXANDRE DEBS Yale UniversityH.E. GOEMANS University of Rochester

    W

    e propose and test a formal model of war and domestic politics, building on recent evidenceon the relationship between regime type, the effect of war on the probability of losing office,and the consequences of losing office. The less the outcome of international interaction affects

    a leaders tenure and the less punitive are the consequences of losing office, the more a leader is willing tomake concessions to strike a peaceful bargain. We demonstrate that our theory successfully predicts warinvolvement among nondemocratic regime types. Moreover, our theory offers an intuitive explanationfor the democratic peace. Compared to nondemocratic leaders, the tenure of democratic leaders dependsrelatively little on the war outcome, and democratic leaders fare relatively well after losing office. Thus,democratic leaders should be more willing and able to avoid war, especially with other democrats.

    In the past two decades, the field of internationalrelations has witnessed a burgeoning of researchon the relationship between regime type and war,

    as exemplified most clearly in the vast literature on thedemocratic peace. In this research, scholars have pro-

    posed a wide array of regime-type attributes to explainthe conflict propensity of different regime types, butlittle or no consensus has emerged on the importanceor predictive power of these attributes. As the fieldincreasingly recognizes the fruitfulness of shifting theexplanatory locus to leaders, we introduce a hithertounexplored set of regime-type attributes, specificallyhow war and regime type combine to affect the fateof leaders. From these attributes, we build a new the-ory to explain the conflict propensity of a broad arrayof potential regime types that generates an intuitiveexplanation for the democratic peace.

    Taking these two features into consideration, ourmodel predicts that peace prevails when the cost of

    replacing the leaderand therefore his or her survivalprobabilitydepends relatively little on the war out-come and when the net gain of staying in office isrelatively small. The logic is as follows. Any leaderunderstands that he or she could induce his or hercounterpart to prefer peace if he or she makes enoughconcessions at the bargaining table, but also realizesthat such concessions affect his or her own survival.The size of the concessions he or she is willing to makedepends on the sensitivity of his or her survival to theshare of the pie obtained internationally (either peace-

    Alexandre Debs is Assistant Professor, Department of Political Sci-

    ence, Yale University, Rosenkranz Hall, Room 311, PO Box 208301,New Haven, CT 06520-8301 ([email protected].)

    H.E. Goemans is Associate Professor, Department of PoliticalScience, University of Rochester, 320 Harkness Hall, Rochester, NY14627 ([email protected]).

    We thank Patrick Kuhn for help with the data of nondemocraticregimes (and, by transitivity, Jennifer Gandhi). We also thank theeditorial team and anonymous referees; Bruce Bueno de Mesquita,Terrence Chapman, Thad Dunning, Gretchen Helmke, ThorstenJanus, Stu Jordan, Jeremy Kedziora, Adam Meirowitz, MassimoMorelli, Michael Peress,Shawn Ramirez, AdamRamey, KenSchultz,Curt Signorino, Dan Slater, Johannes Urpelainen, Jessica Weeks,and Scott Wolford; seminar participants at Columbia, Princeton,Rochester, the University of Toronto, and Yale; the 2008 MPSA,APSA, and Peace Science Society meetings; and, in particular, BobPowell, for extremely helpful comments.

    fully or through war) as well as on the cost of losingoffice. Because the evidence suggests that the survivalof dictators is more sensitive to the outcome of warthan that of democrats and that the consequences oflosing office are more punitive for dictators, the model

    predicts that peace is most likely when two countriesare democracies.We take advantage of the fact that our theory is built

    on two observable regime characteristics to demon-strate its applicability to a broader array of regimetypes. To that end, we examine the sample of non-democracies post World War II, using Cheibub andGandhis (2004) classification. We show that althoughdifferent types of dictators do not systematically differin their sensitivity to the war outcome, they do differsystematically in their post-exit fate. Civilian dictatorsfare significantly better after they lose office than domilitary dictators and monarchs. The theory thereforepredicts that civilian leaders should be least warprone,

    a pattern that is confirmed in the data.We proceed as follows. The next section reviews the

    literature on the democratic peace, both theoreticaland empirical, and highlights the challenges we facein building a satisfactory explanation of the empiricalrecord. The third section discusses our theoretical ap-proach, focusing on fundamental differences in the costof replacing leaders by regime type. The fourth sectionpresents an informal discussion of our argument (theformal model is presented in the Appendix). The nextsection discusses the implications of our model for avariety of regime types, and the final section concludes.

    LITERATURE REVIEW

    Most of the literature on regime type and war revolvesaround the democratic peace. To structure our discus-sion, we use this vast literature as a reference point.

    According to Kant (2006), democracies spread a cul-ture of liberal peace and are unlikely to fight becausecitizens, who bear the cost of war, will be careful toavoid war if possible. Following his lead, explanationsof the democratic peace typically fall into two camps:cultural/normative and institutional/structural expla-nations (Maoz and Russett 1993). Cultural/normativeexplanations stress that leaders should apply the norm

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    of peaceful conflict resolution they employ domes-tically to other states. Democracies tolerate internalopposition peacefully, and so should attempt to solveconflict with other democracies similarly peacefully(Dixon 1994; Doyle 1983; Russett 1993; Weart 1994).Structural explanations argue that democratic leadersshould be constrained in their use of force becausethey must obtain the consent of legislators and, even-

    tually, the electorate (Russett 1993). Put differently, ina democracy, the interests of the population (who bearsthe cost of war) are aligned with those of the decisionmaker (Babst 1964; Kant 2006).

    Rational choice theorists have made significant pro-cess in formalizing institutional/structural arguments,building on the assumption that democratic leadersare more constrained, less biased, and more sensi-tive to the war outcome (Baliga, Lucca, and Sjostrom2007; Bueno de Mesquita and Lalman 1992; Bueno deMesquita et al. 1999, 2003; Filson and Werner 2004;Jackson and Morelli 2007).1 Arguably the most influ-ential piece in this literature is the seminal work ofBueno de Mesquita et al. (1999, 2003). In their setup,

    regimes differ by the relative size of their winningcoalition (i.e., the set of people who must support aruler so that he or she remains in power) as a fractionof the selectorate (i.e., the set of people with politicalpower). Leaders offer a mix of private andpublic goodsto their supporters and must thwart the threat of achallenger. Members of the current winning coalitionrun the risk of losing their access to private goods bysupporting the challenger. The bigger is the winningcoalition, the more likely they are to be included in thechallengers winning coalition. Therefore, rulers witha larger winning coalition enjoy a smaller incumbencyadvantage in the provision of private goods and must

    survive through the provision of public goods. Assum-ing that the war outcome is a public good, such leadersare reluctant to enter into conflict unless they are cer-tain to win. Moreover, they are unlikely to be chosenas targets because they expend a lot of effort in war.Taken together, Bueno de Mesquita et al. (1999, 2003)claim, these factors explain the democratic peace.

    Let us explore this argument in more detail. Thetiming of their game is as follows: (1) leader of nationAchooses between war and peace and, if war is selected,picks a war effort gA; (2) leader of nation B observesthe leader of nationAs action and chooses how hard tofight (picks gB); (3) nature determines the outcome ofwar; and (4) domestic audiences in each country decide

    whether to retain their leader or defect to a politicalrival. Then, Buenode Mesquita et al. (1999, 2003) claimthat members of the winning coalition support the in-cumbent if and only if

    (1 gi)Ri

    Wi+ i + Vi(z) ci +

    Ri

    Si, (1)

    where Ri is the amount of resources in country i, re-distributed among the winning coalition (of size Wi) if

    1 Other rational choice explanations of the democratic peace em-phasize how different regime typesgenerate and process information(Levy and Razin 2004; Patty and Weber 2006).

    the leader stays in power and redistributed randomlyamong the whole selectorate (of size Si) if the chal-lenger comes to power, ci is the expected quality of thechallenger, i is the performance of the leader on allpolicy dimensions, and Vi(z) is the utility from the waroutcome z.WeseethatifWi/Si is large, the incumbencyadvantage in the provision of private goods is small andthe survival of the leader depends to a large extent on

    the war outcome z.2

    This approach raises some difficulties. First, it is de-batable whether the war outcome is a public good, andit would be preferable to rely on an explanation thatdoes not make such an assumption. Second, by thetime members of the selectorate make their decision,the war effort has already been expended and the waroutcome realized. Therefore, in their model, there isno reason why the war should affect the decision tosupport the ruler for a rational (forward-looking) au-dience, particularly given that the war outcome is apublic good, which is by definition nonexcludable.

    Nevertheless, it may be worthwhile to keep the focuson the benefit of keeping victors (and ousting defeated

    losers). One story would be that victory demonstratescompetence, defeat signals incompetence, and a do-mestic audience cares about keeping competent lead-ers. This is a sensible approach, but it does not answerwhy competence should matter more in a democracy,where power is less concentrated in the hands of theleader.3 We believe that the conventional wisdom re-ally builds on the fact that democrats are more ac-countable (i.e., easier to replace), than dictators. Thissuggests an approach where, instead of focusing on thebenefit of replacing leaders by regime, we should focuson the cost of replacing them.

    Taking this approach, we can in fact solve a puzzling

    fact for standard current theories of the democraticpeace: it is difficult to order leaders in terms of theirbias toward war. Take Jackson and Morelli (2007), forexample. They model the intuition that the bias be-tween a leader and the population may be lower indemocracy, which then explains their lower likelihoodto wage war. In their model, the bias of a countryfor war is the ratio of the percentage that the pivotaldecision-making agent stands to gain versus what he orshe has at risk from being involved in a war (Jacksonand Morelli 2007, 135758). Unfortunately, the con-ventional wisdom does not generate a clear predictionon the relative bias in dictatorships and democracies.Schultz (2001a, 1415) probably puts it best: While the

    lack of institutionalized mechanisms for removing un-desired leaders [in dictatorships] means that removal

    2 The conclusion is unchanged if some fraction of the spoils of warare private goods, if that fraction is sufficiently small (Bueno deMesquita et al. 2004, 367).3 Another drawback of such an approach is that it is bound tobe complicated. More precisely, if we speak of learning about thecompetence of a leader, then we are in the framework of a gameof incomplete information. Such models are relatively cumbersomeand can generate multiple equilibria. Moreover, the competence ofa leader on the international scene matters, in a closed model, only ifthereis a futureinteractionon theinternational scene. Sothe solutionwould be to write down an infinitely repeated game (of incompleteinformation) . . . admittedly complicated for a baseline model.

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    is relatively rare, it also means that the associated pun-ishment can be quite severe. [. . . ] Thus, institutionsof accountability generate two countervailing effects,and it is not clear which dominates. We address thisshortcoming, instead showing that the two forces arenot countervailing, but rather reinforcing. Before wepresent our explanation, we first discuss the evidencein more detail, to make explicit the fundamentals of

    our explanation.

    Who is More Sensitive?The Empirical Record

    The fundamental question of whether democrats orautocrats are more sensitive to the war outcome is,of course, an empirical one. Previous research claimsto have found that democrats are more sensitive. Oncloser inspection, however, these claims turn out to beunwarranted.

    First, the previous literature fails to distinguish be-tween the unconditional likelihood of losing officeand the probability of losing office conditional on theoutcome of a war. Although it is plausibleand in-deed empirically supported (Chiozza and Goemans2004)that democratic rulers are more likely to loseoffice in any year, it does not follow that they are morevulnerable to the outcome of a war.

    Second, the current consensus is based on shakyempirical foundations. Scholars who argue that demo-cratic leaders are more sensitive to the outcome ofwar invariably cite the seminal papers by Bueno deMesquita, Siverson, and Woller (1992) and, particu-larly, Bueno de Mesquita and Siverson (1995). The re-sults in those articles, however, do not warrant that in-ference. For example, the baseline equation estimated

    by Bueno de Mesquita and Siverson isLeaders Postwar-Onset Political Survival

    = a + b1TenureL b2TenureL * Demo b3

    (Battle Deaths/10K)L + b4Win i

    where TenureL is the logarithm of a leaders total timeinoffice prior tothe war (plus 1) and Demois a dummyvariable for democracy.4

    From this approach, Bueno de Mesquita andSiverson (1995) cannot conclude that democrats aremore sensitive to the war outcome. Indeed, theyimpose by assumption that the war outcome has thesame impact on the leader of any regime, by including

    a single variable (win) that does not interact the waroutcome with the regime type. Second, they do notshow that democrats are more sensitive to war. Indeed,they analyze a sample, including only leaders who havegone to war (with no leader who stayed at peace). Byinteracting regime type and prior tenure in office, theyshow only that democrats lose power at a faster rate.This is the unconditional likelihood of losing office,which is independent of the sensitivity to war and, weclaim, irrelevant for the decision to go to war.

    4 In a second estimation, they also control for NonconstitutionalOverthrow.

    In more recent research on a sample of all lead-ers from 1919 to 2003, including both leaders whofought wars and leaders who stayed at peace, Chiozzaand Goemans (2004) came to a fundamentally dif-ferent conclusion, contradicting the earlier claims ofBueno de Mesquita and Siverson (1995). Chiozza andGoemans (2004) provide evidence that war affects thetenure of autocratic leadersin particular, defeat in

    war increases the hazard of losing officebut war, nomatterwhether it ends in victory, defeat, or a draw, doesnot significantly affect a democratic leaders hazard oflosing office.

    Rather than rely on competing claims in the earlierliterature, we provide our own test of whether and howwar affects the hazards of losing office for leaders ofdifferent regimes. Table 1 reports the results from aCox proportional hazard model to empirically exam-ine whether the tenure of leaders of democracies ornondemocracies is more sensitive to the outcome ofwar. We follow the approach presented in Chiozza andGoemans (2004). Thus, our unit of observation is theleader-year (or leader-year-spell, if there was a change

    of leader in a given year). We also add a frailty termas an additional unmeasured covariate. The frailty pa-rameter is conceptually analogous to a random effectthat assesses whether some leaders are more likelyto leave power, all the other measured factors beingequal. Two components in the model, therefore, ac-countfor the variation in the risk of losing office amongleaders, the explanatory variables and frailty, with thefrailty term incorporating the unmeasured heterogene-ity across units. In our specification, we cluster observa-tions (i.e., leader-years) by country. In other words, thefrailty term is assumed to be constant within countrygroups. We cluster on countries because leaders ruling

    the same country are likely to have chances of survivalthat depend in some general way on country-specificfactors that go beyond the explanatory variables in themodel. In addition, we also extend the Cox hazardmodel to account for nonproportional hazards (Box-Steffensmeier, Reiter, and Zorn 2003).

    With three minor modifications, we also rely onthe same independent variables as do Chiozza andGoemans (2004). First, we operationalize trade open-ness with new, updated data; second, we include a vari-able that measures how leaders entered office in thefirst place; and, third, we distinguish democracies fromnondemocracies and thuscollapse presidential and par-liamentary democracies into one category. We estimate

    how the state-level variables Democracy (aggregatingpresidential and parliamentary democracies), the pres-ence of a Civil War, GDP per capita (logged), GDPGrowth, Trade Openness, the change in trade open-ness, Population size (logged) as well as the leader-level variables5 of the leaders Age at entry into office,the number of times the executive previously has beenin office, and the manner of Entry (coded as 0 if bya regular process, as 1 if by an irregular or forcible

    5 The data on leaders come from Archigos version 2.9 (Goemans,Gleditsch,and Chiozza 2009);its temporal domain is January1, 1919December 31, 2003.

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    TABLE 1. Conflict Outcomes,Regime Types, and Loss of Office

    Tenure

    Variables b Std.Err.

    Democracy 0.217 0.273Democracy log(t) 0.008 0.042

    Civil War 0.675 0.313Civil War log(t) 0.053 0.047GDP per capita 0.043 0.052GDP Growth 2.518 0.362Trade Openness 0.272 0.714Tr. Open log(t) 0.125 0.097 Trade Open 0.157 0.082Population 0.015 0.039

    Age 0.322 0.009Age log(t) 0.047 0.001Times in Office 0.086 0.046Entry 3.929 0.267Entry log(t) 0.600 0.041

    Challenger 0.761 0.223Target 0.013 0.145

    Inheritor 0.347 0.244

    Democracy Crisis Victory 0.218 0.266Democracy Crisis Defeat 0.137 0.369Democracy Crisis Draw 0.040 0.276Nondemocracy Crisis Victory 0.855 0.357Nondemocracy Crisis Defeat 0.460 0.953Nondemocracy C. Defeat 0.028 0.136

    log(t)Nondemocracy Crisis Draw 0.467 2.046Nondemocracy C. Draw 0.029 0.275

    log(t)

    Democracy War Victory 0.491 0.558Democracy War Defeat 0.323 0.554Democracy War Draw 0.659 0.510

    Nondemocracy War Victory 2.595 1.184Nondemocracy War Defeat 0.843 0.357Nondemocracy War Draw 0.653 0.628

    No. Obs 9,424No. Subjects 1,860No. Failures 1,698Log-likelihood 9,885LR test 2,708 p< .001 0.405

    Note: The frailty parameter measure the variance of agamma distribution with mean equal to 1.p < .01, p< .05, p< .1.

    process) affect the tenure of leaders. To examine howconflict affects the tenure of leaders, we rely on themost recent release of the ICB data (Version 7.0) todistinguish whether the leader was a Challenger(if so,coded as 1 for the duration of the entire conflict and0 otherwise), a Target (similarly coded), or an Inheri-tor, which is a leader who inherits the conflict from aprevious leader who was either a Challenger or a Tar-get, but who was removed during the conflict. Finally,we interact the conflict outcomes with democracy andnondemocracy because these variables canthen be eas-

    ier assessed relative to the excluded category, peace.6

    Because tests revealed that several variables violatedthe proportional hazard assumption of the Cox model,we interacted these offending variables with log(t), asrecommended by Box-Steffensmeier, Reiter, and Zorn(2003). Tests revealed that multicollinearity is not aproblem.

    Because the effects of Civil War, GDP per capita,

    GPD Growth, Trade Openness, change in trade open-ness, Population size, the leaders Age at entry, and thenumber of times the leaders previously had held officein Table 1 basically reproduce the results in Chiozzaand Goemans (2004), we skip the discussion of thecountry and leader-level variables. For our purposeshere, our main interest lies in the effect of war on thetenure of democratic and nondemocratic leaders. Weseparate crises and wars because crises are less costlythan Wars and less likely to affect the leaders time inoffice. To exclude them, however, could be argued tobias results in our favor.

    In Table 1, we find that the outcome of a crisisbeit victory, defeat, or a drawdoes not affect the tenureof democratic leaders. Although victory in a crisis sig-nificantly decreases the risks of losing office for non-democratic leaders, the difference between victory anddefeat is not statistically significant. Draws have a sim-ilar but more temporally circumscribed effect on thetenure of nondemocratic leaders. During their first 2.5years in office, as well as after about ten years in office,a draw does not affect the tenure of nondemocraticleaders. In the interim, however, a draw significantlyincreases their tenure. Notably, the overall effect ofthe outcome of a crisis is not significantly different fordemocratic and nondemocratic leaders.

    When we switch to our main focus, war, Table 1 re-

    veals that victory in war decreases the hazard of losingoffice, whereas defeat in war increases the hazard oflosing office for nondemocratic leaders. However, nei-ther victory nor defeat in war significantly affects thetenure of democratic leaders. Wald tests show that thedifference between victory and defeat is statisticallysignificant for nondemocratic leaders (p < .010), butnot for democratic leaders (p < .570), and that thedifference between victory and defeat is significantlygreater for nondemocratic than for democratic leaders(p < .078). When we execute a joint test and compareall three potential outcomes (victory, defeat, or draw),we again find that the fate of nondemocratic leaders isindeed significantly more sensitive to the outcome ofwar than democratic leaders (p < .099).

    Of course, the consequences of losing office shouldalso matter for leaders and there is reason to believethat they differ significantly by regime type. Anecdo-tally, democratic leaders, especially in modern times,can look forward to a profitable retirement. As Presi-dent Bush put it when asked about his plans after heleavesthe White House, Ill give some speeches, just toreplenishthe olcoffers (In Book, Bush Peeks Ahead

    6 An Appendix with full details on the operationalization ofthese variables is available on the Web. http://www.rochester.edu/college/faculty/hgoemans/research.htm

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    TABLE 2. Regime Type and Post-exit Fate of Leaders

    Okay Exile Jail Killed Total

    Nondemocracy 622 (59%) 242 (23%) 123 (12%) 72 (7%) 1,059 (58%)Democracy 713 (93%) 21 (3%) 20 (3%) 10 (1%) 763 (42%)

    Total 1,335 (73%) 263 (14%) 143 (8%) 82 (5%) 1,823 (100%)

    Note: Pearson chi2(3) = 272.4. p< .001.

    to His Legacy, New York Times, September 2, 2007,p. 1).7 In contrast, nondemocratic leaders such asSaddam Hussein can and indeed do anticipate sig-nificant punishment when they lose office. Yet, pre-vious research has not documented this informationrigorously and has failed to incorporate it in theirexplanation of the democratic peace. We take a stepin this direction, examining the relationship betweenregime type and the posttenure fate of leaders between1919 and 2004 using the Archigos data set, version 2.9(Goemans, Gleditsch, and Chiozza 2009).8

    Table 2 confirms the intuition that autocrats face

    more severe punishment after leaving office. Only afew democrats (7%) but many autocrats (41%) suf-fered significant punishment in the year after theylost office. Additional tests (difference of means andANOVA) show that the difference between nondemo-cratic and democratic leaders is statistically highly sig-nificant (p < .001).9

    Summing up, we conclude that autocrats are moresensitive to the war outcome and that they face moresevere punishment than democrats after leaving office.On the first point, we note that the similar earlier re-sults from Chiozza and Goemans (2004) have not beentaken at face value. To the contrary, these results havebeen argued to indicate that democratic leaders aremore sensitive to the outcome of war because of selec-tion effects. The current literature seems to suggest twoarguments to explain away the insignificant coefficientsof the outcomes of war for democratic leaders. We findneither of these counterarguments convincing.

    First, Reiter and Stam (2002) argue that democraticleaders select wars that they are likely to win. Thiswould indeed introduce bias in our estimation, but itwouldbias the estimate of theunderlyingprobability ofvictory in war, notthe sensitivity of the leaders survival

    7 Bushadded, I dont knowwhat my dad getsitsmore than5075thousand dollars a speech, and Clintons making a lot of money.

    In their tax filings for the 2008 presidential campaign, the Clintonsrevealed they had made more than $109 million since 2000, ( NewYork Times, April 5, 2008, Clintons Made $109 Million in Last 8Years). For a broader discussion of the prospect of retiring leaders,see Into the Sunset. How Ex-Leaders Adjust to Life with LessPower. Financial Times, Thursday, December 27, 2007, p. 7.8 See also Goemans (2008), which looks at the relationship betweenwar, regime type and the process of ouster, whether regular orirregular.9 As a further check, we collapsed all three levels of punishment intoone and regressed this on democracy, as well as on democracy anda host of other variables. In all cases, democracy was negatively andhighly significantly (p < .001) associated with punishment. This re-sult was also obtained when we coded punishment as 0 when leaderswere okay or exiled, and as 1 when leaders were imprisoned orkilled.

    to the war outcome. In other words, if leaders pickwars that they are likely to win, then we would observetoo many victories, but conditional on a war havingbeen fought, we can still estimate the effect of the waroutcome on the survival of leaders without any bias.

    Second, it could be argued that leaders select them-selves into wars based on how the outcome of war af-fects their tenure and that for some reason democraticleaders are better at this than nondemocratic lead-ers. Then, to paraphrase Schultz (2001b, 32), strategicchoice implies that the probability of observing such ef-fects on thetenure of leaders is a function of their value.

    In other words, the greater the tenure punishment isfor defeat, the less likely we would be to observe it,which might explain the insignificant coefficient of wardefeat for democratic leaders. However, we should alsobe more likely to observe tenure rewards from victory.After all, if democratic leaders are somehow good atselecting themselves into wars, then they should selectwars that would bring them increased tenure. Yet, thecoefficient for war victory for democratic leaders issmall and nowhere near significant. This finding castssignificant doubt on any simple and straightforward se-lection mechanism.10 Thus, to be convincing, those whowould use a selection effects argument to reject ourconclusion that democratic leaders are less sensitive to

    the outcome of war would need to offer two explana-tions. First, they would need to explain how democraticleaders pick their wars and why nondemocratic leaderscannot do thesame. Second, they would need to explainwhy democratic leaders do not gain time in office asa result of victory, whereas nondemocratic leaders do.Until then, we believe that a relatively simple line of ar-gumentoffersthe most convincing explanation of thesepatterns. We present such an explanation, focusing ona fundamental difference in the process of replacingleaders by regime type: it is violent in dictatorships andnonviolent in democracies.

    REGIME TYPE AND THECOSTS OF REPLACEMENT

    Previous research on leaders and the democratic peacefocused on the different benefits of replacing rulers indifferent regimes. In contrast, we focus on the different

    10 It might be argued that the coefficient for war victory for demo-cratic leaders is insignificant because theirnondemocratic opponentswould select themselves out of those fights. However, then demo-cratic leaders would have incentives to bluff, and we would expectpunishment for failed bluffs and defeats, which we do not find.Moreover, the effect of war defeat then should not be significantfor nondemocratic leaders, but it is.

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    costs. We argue here that such an approach is in linewith previous work on democratic theory and that itproduces a simple theory that accords with the empir-ical evidence.

    A Defining Feature of Democracy

    The idea that the costliness of replacing rulers is a sig-nificant, if not the most significant, difference betweendictatorship and democracy is not new. For example,Popper (1963, 124) states,

    For we may distinguish twomain types of government. Thefirst type consists of governments of which we can get ridwithout bloodshedfor example, by way of general elec-tions; that is to say, the social institutions provide meansby which the rulers may be dismissed by the ruled, andthe social traditions ensure that these institutions will noteasily be destroyed by those who are in power. The secondtype consists of governments which theruledcannot getridof except by way of a successful revolutionthat is to say,in most cases, not at all. I suggest the term democracy as

    a short-hand label for a government of the first type, andthe term tyranny or dictatorship for the second.

    It is clear that the competitive struggle for the peo-ples votes, as emphasized in the traditional Schum-peterian definition of democracy, would be meaning-less if candidates were not protected against the ar-bitrary power of the state (Schumpeter 1950). Riker(1982, 6, 7) argues,

    Almost everything [. . . ] that we think of as civil liberties(the rights of a speedy trial, habeas corpus, and securityagainst unreasonable search and seizure, for example)originated to protect politicians who feared prosecution

    if and when they lost office. Thus the historic purpose ofthese fundamental democratic liberties has been not toprovide freedom as an end in itself, but to render effectiveboth political participation and the process of choice invoting.

    In thesame spirit, Przeworski et al. (2000, 15) adopt aSchumpeterian definition of democracy and emphasizethat regimes with no regularized competition amongconflicting views enjoy a monopoly of power but-tressed by the threat or actual use of force.

    This defining feature of democracy, central in ourmodel, was also emphasized by the early students ofthe democratic peace. Weart (1994) states, If required

    to reduce it all to a single statement, we could isolateanocratic and authoritarian regimes as those wheredemands for loyalty are so concentrated on a leader(or family or clique) that any citizen who works tohave the leader replaced is risking severe punishment(308). Maoz and Russett (1993) argue that, empirically,the treatment of political opponents (i.e., the annualnumber of violent political deaths and the number ofpolitical executions) is the single most important fac-tor to explain the democratic peace, along with thestability of a regime (i.e., the length of that a po-litical system or regime existed without fundamentalchange). This leads them to favor normative accounts

    of the democratic peace.11 No rational choice theory ofthe democratic peace, however, has fully exploited thisdistinctive feature.

    Sensitivity of Replacement Coststo the Outcome of War

    Focusing on the cost of replacing leaders easily sug-gests why the survival of an autocrat is more, not less,sensitive to the war outcome. The process whereby ademocratic leader loses office is well institutionalizedand does not fundamentally depend on the outcomeof conflict. Typically, democratic leaders lose officethrough elections and term limits. The length of a termof office and the timing of election are by and largeexogenously determined anddo not dependon the out-come of war.12 Moreover, a wide range of factors otherthan the outcome of war typically plays an importantrole in democratic elections. Thus, even after TurkishPrime Minister Ecevit (Cyprus), British Prime MinisterChurchill (WW II) and U.S. President George H.W.

    Bush (Gulf War I) led their countries to victory andsupposedly signalled their foreign policy competence,all three lost the following elections.

    In sharp contrast, nondemocratic leaders often loseoffice through violent means [rebellions, civil wars, andcoups (Goemans 2008)]. In such cases, the outcome ofconflict can fundamentally affect the process wherebynondemocratic leaders are removed from office by sev-eral paths. First, defeat in war affects the efficacy ofthe leaders repressive apparatus, and thereby dimin-ishes his or her grip on power, making any attempt tooverthrow the leader more likely to succeed. Second,defeat in war can affect attempts to coordinate theopposition. In case of (major) defeat, opponents ofthe current leader may expect that others will supportthem in an attempt to overthrow the leader, not justbecause of demonstrated incompetence, but becauseof a widespread belief that sufficient numbers will riseand protest will not be punished. The outcome of con-flict can thus tip a largely passive populace into amass uprising or coup attempt (Kuran 1991). Similarly,victory makes such coordination less likely andtherebydiminishes the nondemocratic leaders probability oflosing office.

    We therefore argue that a theory based on the costof replacing leaders gives a simple explanation of thesensitivity of rulers to the war outcome. We now ex-

    plain how the sensitivity of leaders to the war outcomeaffects the likelihood of the outbreak of war.

    11 Seealso Ray (1995), whotakesthe historical precedentof a peace-fultransfer ofpoweras oneof twocriteria fora state tobe democratic,along with suffrage for more than half the population.12 A handful of democracies allows for the endogenous timing ofelections. Even among those, only Thatchers calling of electionsafter Britains victory against Argentina in the Falklands/MalvinasWar would suggest that Thatcher called the election early because ofher victory. Even in that case, however, Thatcher would have had tocall elections soon, no matter the outcome, because she approachedthe end of her term.

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    FIGURE 1. Net Benefit of Peaceful Settlement as a Funtion of As Share of the Pie:Unitary, Risk-neutral Countries

    1 As Share

    of the Pie

    at Peace (zA)

    Net

    Benefit

    of Peace

    0

    Country ACountry B

    The net benefit schedulesare as follows:

    Country A: zAp+cACountry B: (1-zA)-(1-p)+cBwherep=1/2, ci=1/20

    DISCUSSION OF OUR ARGUMENT

    In this section, we sketch the logic of our argument,with full details available in the Appendix. Our start-ing point is the canonical model of Fearon (1995), thebuilding block of a large literature on rational expla-nations for war. Assume that two countries, A and B,divide a pie of size 1, either peacefully or through war.War is an inefficient alternative to peaceful settlement,imposing costs on both countries, where the winningcountry extracts the full pie. Given this setup, the nat-ural question is: why would countries rationally decideto go to war, when it is known to be an inefficientalternative to peaceful bargaining? Fearon answers thequestion as follows: war should be avoided if countriesare unitary actors, they are risk neutral (or risk averse),and there are no bargaining frictions (more specifically,players are fully informed and there is no commitmentproblem).13

    Let us illustrate the statement mathematically andgraphically. Write ui(zi) as the utility of player ifrom getting a share zi of the international pie. Warcorresponds to a lottery where country A wins thefull pie with probability p, and country B wins it withprobability 1 p. This lottery imposes a cost ci tocountry i. Therefore, the utility of country A (B) for a

    peaceful settlement where he gets a share of the pie zAis uA(zA) (uB(1 zA)), and the expected utility fromwar is puA(1) + (1 p)uA(0) cA for A (puB(0) +(1 p)uB(1) cB for B). Throughout this analysis, weassume that each decision maker wants to maximizehis or her expected utility. The canonical model ofFearon (1995) considers the following case:

    13 Fearon (1995)also suggested that the indivisibility of the piecouldgenerate war. For a (convincing) critique of that claim, see Powell(2006).

    Case 1 (unitary countries, either risk neutral or riskaverse). uA(.) and uB(.) are continuous, increasing, andweakly concave.

    Figure 1 illustrates this case, plotting the net ben-efit of a peaceful settlement, where country A getszA (and B gets 1 zA). By net benefit, we mean thedifference between the utility at a peaceful settlementand the expected utility of war (uA(zA) (puA(1) +(1 p)uA(0) cA) for A, uB(1 zA) (puB(0) + (1 p)uB(1) cB) for B).14 The net benefit for country Ais increasing in zA, while for country B it is decreasingin zA. The logic is simple. Getting a greater share ofthe pie at peace makes peace more attractive, rela-tive to war. We now ask whether a peaceful bargaincan be struck. This depends on where the net ben-efit schedules intersect. If they intersect above zero,there is a peaceful bargain that both countries preferto war because there is at least one peaceful settle-ment that gives both countries a positive net benefitof peace. If they would cross below zero, then therewould be no such peaceful settlement. Any bargainthat country A prefers to war (i.e., relatively high val-ues ofzA) would be worse than war for country B, andvice versa. In the case of unitary countries, either riskneutral or risk averse, the net benefit schedules always

    cross above zero. Therefore, if there is no bargainingfriction, then countries should be able to avoid war(Fearon 1995).

    The Fearon (1995) framework has given birth to alarge literature, which attempts to explain wars by re-laxing one or more of its assumptions. One naturalcandidate is to assume that countries are actually riskloving. In that case, countries may be willing to paythe cost of destruction so that they can run the risk ofwinning (and losing) the full pie. Mathematically, this

    14 In Figure 1, we let p = 1/2, ui(zi ) = zi , and ci = 1/20 for any i.

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    FIGURE 2. Net Benefit of Peaceful Settlement as a Funtion of As Share of the Pie:Unitary, Risk-loving Countries

    Country ACountry B

    The net benefit schedulesare as follows:

    Country A: zA2-p+cA

    Country B: (1-zA)2-(1-p)+ cB

    wherep=1/2, ci=1/20 for any i

    Net

    Benefit

    of Peace

    As Share

    of the Pie

    at Peace (zA)

    1

    Net

    Benefit

    of Peace

    0

    model is represented as follows:

    Case 2 (unitary, risk-loving countries). uA(.) anduB(.) are continuous, increasing, and strictly convex.

    Figure 2 illustrates this case, showing that the netutility schedules may cross below zero.15 Thus, evenwithout bargaining friction, war may ensue. The chal-lenge for this approach, however, is to justify generalassumptions about the risk preferences of countries.

    Instead, we relax the assumption that the state isa unitary actor and unpack the process by which theleader is removed from office. More precisely, we as-

    sume that after the outcome of the international inter-action is realized, domestic audiences decide whetherto replace the incumbent. Specifically, we focus theanalysis on the consequences of losing office and theeffect of the international interaction on the cost ofremoving the leader.

    We proceed as follows. First, we model thedirect costof war as the leaders psychological or physical costassociated with the chaos of war [we write this costcL(i)]. Second, we unpack the leaders benefit of warinto direct and indirect benefits. Directly, the leader ofcountry i values the share of the international pie ob-tained by his or her country at rate vL(i). It correspondsto the rents he or she extracts from his or her countrysshare of the pie if it is a private good or the valuationthat he or she places on his or her countrys share of thepie if it is a public good. Indirectly, the leader valueshis or her countrys share of the pie through its effecton his or her likelihood of staying in office. Let I(t(i))be the utility of remaining in office for the leader ofcountry i of regime type t(i) and O(t(i)) be the utilityof being ousted for the leader of country i of regimetype t(i). We assume that the leader prefers to remainin office rather than being ousted (I(t(i)) > O(t(i))).

    15 In this example, we let p = 1/2, ui (zi) = z2i , and ci = 1/20 for

    any i.

    Second, we assume that a greater share of the pie (zi)obtained on the international scene, everything elseequal, increases the domestic cost d that the audiencehas to pay to remove the leader. d represents any effortexpended and any personal risk incurred by the pop-ulation in removing the ruler, as well as any economicloss produced in the transition from one ruler to thenext. We assume that this domestic cost is increasingin zi. For example, more favorable terms could meanthat the leader has more resources to expend in en-suring his or her survival or that he or she benefitsfrom increased legitimacy. To gain traction, compare

    regime types and discuss the important dimensions ofa leaders accountability for war involvement, weimpose the following functional form:

    d(zi, t(i),Iw) = (t(i)) + (t(i))(zi,I

    w), (2)

    where (t(i)) and (t(i)) are positive parameters and(zi,I

    w) is differentiable and increasing in zi. Every-thing else being equal, a greater (t(i)) means thatthere is a greater cost to replace the leader in regimet(i). A greater (t(i)) means that the cost of replace-ment is more sensitive to the outcome of internationalbargaining in regime t(i).

    In its decision to remove the leader, the populationcompares the cost of replacement to the benefit ofsupporting the challenger. We assume that this ben-efit follows a uniform distribution on [0, 1], and thisbenefit is unaffected by the outcome of internationalbargaining. This benefit captures the fact that there areother political dimensions (e.g., the economy) on whichthe challenger may appear more attractive than theincumbent. Naturally, the population keeps the incum-bent in office if and only if the benefit of supportingthe challenger is less than the cost of replacing theincumbent. As a result, the probability that the leaderof country i remains in office when he or she obtains a

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    share zi of the pie through war or peace is

    Pr(zi, t(i),Iw) = d(zi, t(i),I

    w). (3)

    Taking stock, this model can be represented asfollows:

    Case 3 (nonunitary countries). Leaders bargain overthe division of a pie in the shadow of domestic account-

    ability. The utility for the leaderof country i whoreceivesa share zi of the pie is

    ui(zi) = zivL(i) + O(t(i)) + [I(t(i))

    O(t(i))]Pr(zi, t(i),Iw) cL(i)I

    w. (4)

    As we had before, we see that the net benefit ofpeace for any leader is increasing in his or her coun-trys share of the pie at peace. In this new setup, theargument underlying this relationship is richer. First,there is a direct benefit in that the leader enjoys havinga greater pie (this is the first term in (4). Second, thereis now an indirect effect, in that having more favorableterms increases the likelihood that the leader remains

    in office (this is the third term in (4). We now want toask whether there is a peaceful division of the pie thatboth leaders prefer to war.16

    From the previous discussion, we know that, absentany effect of the international interaction on the likeli-hood that the leader remains in office, peace would al-ways prevail. The keyvariableof interest is thefunctionPr(.,.,.), which tells us how the outcome of interna-tional bargaining affects a leaders survival. We want tocompare the probability that a leader remains in officefor a peaceful settlement where zA = p to the probabil-ity that he remains in office after going to war becauseit is a natural candidate for a peaceful settlement andequates the direct benefit of war and peace (to pvL(i)).War produces a greater likelihood of remaining in of-fice for A than the peaceful bargain where he or shereceives p if p Pr(1, t(A), 1) + (1 p) Pr(0, t(A), 1) >Pr(p, t(A), 0) or, using Equations (2) and (3),

    p(1, 1) + (1 p)(0, 1) > (p, 0). (5)

    War produces a greater likelihood of remainingin office for B than the peaceful bargain wherehe or she receives 1 p if p Pr(0, t(B), 1) + (1 p) Pr(1, t(B), 1) > Pr(1 p, t(B), 0) or, using Equa-tions (2) and (3),

    p(0, 1) + (1 p)(1, 1) > (1 p, 0). (6)

    16 This setup certainly takes a reduced-form approach to domesticpolitics, butwe believethat it is a usefuland simplestartingpointthatcan capture differences across regime types. We could reinterpretthe current model as a reduced-form version of a richer model. Forexample, we could let the leader and the challenger compete forthe populations support in promising different shares of the directbenefits of war if they constitute a private good that has not yetbeen consumed (e.g., competing over vP(i), if vP(i) = 1 vL(i)). Wediscussed such a model in the second section. We conjecture, inour context, that the leader and the challenger would be drivento be as generous as possible with the population (as in Bertrandcompetition), so that there would not be any difference in theiroffers in equilibrium. As a result, as long as the share of the pieobtained internationally affects the cost of replacing the leader, thepopulations decision would be the same as in our current model.

    Whether Equations (5) and (6) hold is difficult to tellempirically, given how little we know about the tech-nology of leadership removal.

    To make progress, we impose a few conditions. First,we assume that the technology of leadership removalis symmetric, so that whenever two countries A andB interact, either both Equations (5) and (6) hold orneither condition holds.17

    If neither Equation (5) nor Equations (6) holds, thenit is clear that both leaders prefer a peaceful settlementwhere zA = p. At that settlement,peaceoffers thesamedirect benefit as war for both leaders, and it now offersstrictly greater indirect benefits than war because itgenerates a greater probability of remaining in office.If both Equations (5) and (6) hold, war may occur.18

    Both conditions hold, for example, if the marginal costof replacing the leader is increasing in the share ofthe pie that he obtains on the international scene.19

    When Equations (5) and (6) hold, it is impossible toproduce a peaceful division of the pie where eachleader gets the same probability of staying in officeas he would get from going to war. Leaders must com-promise. Can they find such a compromise? They wantto avoid the direct cost of war (cL(i)), but making con-cessions means that peace generates smaller indirectbenefits, reducing the leaders probability of stayingin office.20 The consequences of making a concessiondepend on the magnitude of the stakes of remaining inoffice (I(t(i)) O(t(i))) and the sensitivity of the costof replacement to the share of the pie obtained interna-tionally ((t(i))). As each increases, holding everythingelse constant, the greater are the consequences of mak-ing a concession (i.e., the faster the leaders net benefitof peace decreases), either because the consequencesof losing office are worse or the probability of ouster

    increases faster.Graphically, as represented in Figures 3 and 4, thenet utility schedule becomes steeper as either quantityincreases, pivoting around the point (Pt) that providesthe same probability of staying in office as going towar21 Therefore, holding everything else constant, theschedule of net utilities cross at a lower point, and maycross below zero (meaning that no peaceful division

    17 As we previously argued, the net benefit schedule for country A(B) is increasing (decreasing) in zA, but the shape of the functiondepends on whether Equations (5) and (6) hold.18 In other words, this is the only case that does not produce a triv-ial prediction of peace. Assuming symmetry, i.e., either Equations(5) and (6) hold, or neither Equation (5) nor (6) holds, we get thecomparative statics in our main claim. Equations (5) and (6) may beinterpreted as describing the leaders institutionally induced riskpreferences (Goemans and Fey 2008). However, note that assumingthat Equations (5)and (6)holdis weaker than assuming that Pr(.,.,.)is convex.19 Figure 3 uses the following parametrization: p = 1/2, vL(i) = 1/3,

    I(t(i)) O(t(i)) = 1, (t(i)) = 1/20, (zi ,Iw) = z2i

    1100I

    w, cL(i) =1/20, for any i.20 It also generates smaller direct benefits, but because we do nothave good proxies for vL(i), we do not discuss the comparative staticswith respect to that parameter.21 Relative to Figure 3, Figure 4 adds a second type for country

    A, such that I(t(A)) O(t(A)) = 10, (t(A)) = 1/5, everything elseremaining unchanged.

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    FIGURE 3. Net Benefit of Peaceful Settlement as a Funtion of As Share of the Pie:Nonunitary Countries

    Country ACountry B

    The net benefit schedulesare as follows:

    Country A: 1/3 (zA-p) +1/20(zA2 (p-1/100)) +cL(A)

    Country B: -1/3(zA-p) +1/20((1-zA)2-(1-p-1/100)) +cL(B)

    wherep=1/2, cL(i)=1/20 for any i

    1

    Net

    Benefit

    of Peace

    0 As Share

    of the Pie

    at Peace (zA)

    FIGURE 4. Net Benefit of Peaceful Settlement as a Funtion of As Share of the Pie:Nonunitary Countries

    Country ACountry B

    The net benefit schedulesfor country A (dotted line) and B as givenin Figure 3:

    Country A(full line): 1/3 (zA-p) +2(zA2 (p-1/100)) +cL(A)

    wherep=1/2, cL(A)=1/20

    Pt

    1

    Net

    Benefit

    of Peace

    0 As Share

    of the Pie

    at Peace (zA)

    of the pie is preferable to war for both countries; seeproposition 1 for a formal statement of this claim).

    With most of the set-up of the model in place, weneed to discuss only two additional features, which

    generate statements on the probability of war involve-ment of a given leader. We assume that the regimetype of countries A and B and the direct cost of warfor the leaders are independently distributed.22 Then,given these two assumptions, and holding everythingelse constant, we get:

    Claim 1. The probability that a country is involved inwar increases in the leaders private stakes and in the

    22 We subsequently relax the second assumption and discuss dyadicexplanations of the democratic peace.

    sensitivity of his or her survival to the outcome of theinternational interaction.

    COMPARING REGIME TYPESTestingclaim1, we look forproxiesof theprivate stakesofholdingoffice(I(t(i)) O(t(i)))andthesensitivityofthe leader to the outcome of international interaction((t(i))). For the former, we use the evidence on theposttenure fate of leaders (i.e., whether they are okay,exiled, jailed, or killed). Next, we assume that a victoryin war corresponds to a larger share of the pie than adefeat in war and that the outcome of war is, to someextent, instructive about the effect of changes in thepeaceful bargain on a leaders survival (as we do in 3).

    As we saw previously, democratic leaders have lowerprivate stakes and are less sensitive to the outcome of

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    war. Therefore, claim 1 predicts that democracies areless likely to be involved in war, a claim supported bythe most recent scholarship (Russett n.d.). We discussthis result and how our model can generate a dyadic ex-planation of the democratic peace later in this section.First, we want to show how our model generates noveland broader predictions about regime type and war. Tothat end, we focus on the subsample of dictatorships.

    Types of Nondemocracies

    Although the comparative politics literature has longdiscussed the structural differences among nondemo-cratic regimes, the consequences of these theories fortheoutbreak of warhas been relatively neglected.23 Forrecent exceptions, see Peceny, Beer, and Sanchez-Terry(2002), Laiand Slater(2006), andWeeks(2010). In con-trast to this literature, our work starts from fundamen-tally different premises and provides a theory linkingthe sensitivity of rulers to the war outcome and theirposttenure fate to their probability of war involvement.

    We disaggregate autocracies into different subtypes,according to the classification suggested by Cheibuband Gandhi (2004), which classifies autocracies (194696) as either monarchic, military, or civilian. To thatend, we merge their data with Archigos (Goemans,Gleditsch, and Chiozza 2009).24 We assess theseleaderson thetwo fundamental factors driving our model: theirsensitivity to war outcomes and their post tenure fate.

    We first examine whether different types of autocra-cies were more or less sensitive to the outcome of war.Table 3 reports the results.25

    Focusing on the sensitivity to the war outcome, wenotice that although victory increases the tenure ofleaders in all autocratic regimes, the effect is not sig-

    nificant. Defeat, however, significantly increases thehazard of losing office for leaders of all autocraticregimes. Wald tests show that the difference betweendefeat and victory is statistically significant for militarydictators(p < .001),civilians(p < .026),and monarchs(p < .020). This difference, however, is not statisticallydifferent among the three regime types. We also com-pare the effect of victory, defeat, or draw for one typeagainst the other and find no statistically significantdifference. Hence, the sensitivity to the war outcomedoes little to distinguish the incentives of these typesof autocrats for or against war.

    We therefore turn to the posttenure fate of theseleaders. Table 4 reports a simple cross-tabulation of the

    23 For recentadvances in the formal studyof nondemocratic regimes,see among others, Acemoglu and Robinson (2006), Besley and Ku-damatsu (2008), Debs (2007a, 2007b, 2007c), Egorov and Sonin(2009), Gandhi and Przeworski (2006), Myerson (2008), Padro iMiquel (2007), and Svolik (2009).24 Because Cheibub and Gandhi (2004) is a country-year data setandArchigos is a leader-country-yeardata set, we took care to assignleaders to their appropriate regime type.25 Note that an interaction between GDP per capita and Mannerof Entry and the log of time are included because these variablesviolated the proportional hazard assumption of the Cox model. Themodel has 4,145 observations, 602 subjects, and 525 failures. TheI likelihood is 2648.7, the likelihood ratio test is significant with

    p < .0001.

    TABLE 3. Conflict Outcomes,Autocratic Types, and Loss of Office

    Tenure

    Variables b Std.Err.

    Civilian 0.057 0.131Monarch 0.312 0.302

    Civil War 0.466 0.133GPD per capita 1.730 0.269GPD per cap ln(t) 0.242 0.038Growth 2.743 0.572Trade Openness 0.212 0.231 Trade Openness 0.170 0.121Population 0.013 0.050Age at Entry 0.035 0.005Manner of Entry 5.140 0.468Entry ln(t) 0.724 0.066Times in Office 0.198 0.121

    Challenger 1.784 0.418Target 0.138 0.266Inheritor 0.118 0.424

    Military Crisis Victory 0.906 0.652

    Military Crisis Defeat 1.042 0.623Military Crisis Draw 0.396 0.617

    Military War Victory 8.928 0.219Military War Defeat 2.220 0.555Military War Draw 0.175 0.838

    Civilian Crisis Victory 0.688 0.626Civilian Crisis Defeat 0.264 0.470Civilian Crisis Draw 1.060 0.509

    Civilian War Victory 3.299 0.237Civilian War Defeat 1.776 0.684Civilian War Draw 1.696 0.069

    Monarch Crisis Victory 2.336 0.285Monarch Crisis Defeat 0.870 0.673

    Monarch Crisis Draw 0.201 0

    .592

    Monarch War Victory 2.023 0.961Monarch War Defeat 2.840 0.035Monarch War Draw 0.327 0.548

    0.267 p< .001Note: The frailty parameter measures the variance ofa gamma distribution with mean equal to 1.p< .01, p< .05, p< .1.

    three types of autocratic leaders and their posttenurefate.

    Table 4 shows that civilians are by far most likelyto enjoy a safe retirement. Tests (ANOVA) revealedthat the difference between civilians and military auto-crats is indeed significant (p < .029). Although Monar-chs seem tantalizingly different, there are two few in-stances (only 25 monarchs lost office in the sample) todraw any inference. Translating this into the languageof our framework, we conclude that the private stakesof holding office are smaller for civilian dictators thanthey are for military dictators or monarchs. Therefore,consistent with claim 1, we propose:

    Conjecture 1. The average probability of the outbreakof war should be significantly lower for civilian dictatorsthan for military dictators and monarchs.

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    TABLE 4. Fate of 3 Types of Nondemocratic Leaders

    Okay Exile Jail Killed Total

    Monarch 7 (28%) 14 (56%) 1 (4%) 3 (12%) 25 (5%)Military 108 (49%) 52 (24%) 34 (16%) 26 (12%) 220 (43%)Civilian 151 (58%) 53 (20%) 41 (16%) 16 (6%) 261 (52%)

    Total 266 (53%) 119 (24%) 76 (15%) 45 (9%) 506 (100%)

    Note: Pearson chi2(6) = 23.9.

    p< .001.

    TABLE 5. Nondemocratic Regime Typesand Onset of War

    War

    Variables b Std.Err.

    Civilian 0.351 0.196Monarch 0.098 0.272

    Civil War 0.246 0.189GDP per capita 0.139 0.081GDP Growth 2.181 0.029

    Trade Openness 0.030 0.260 Trade Openness 0.153 0.132Population 0.249 0.073

    Age 0.015 0.008Times in Office 0.423 0.263

    CINC 6.484 0.146Military Mobilization 0.520 0.137Number of Borders 0.063 0.033Time since Previous Onset 0.551 0.166Time2 since Previous Onset 1.051 0.361Time3 since Previous Onset 0.566 0.208Constant 1.953 0.372

    No. Obs. 4040Log-likelihood 144.88

    Pseudo R square 0.158Wald test (16) 160.5 p< .001Notes: Coefficients of each regime type must be inter-preted relative to the excluded category, Military Autocrats.Standard errors are clustered on country code.p< .01, p< .05, p < .1.

    We test this prediction in Table 5, where we focuson the outbreak of war which is coded as 1 if a leaderlaunched a challenge or became a target that year and0 otherwise.

    The results from Table 5 show that civilian autocratsare indeed significantly less likely to become involved

    in war than military autocrats (p < .074, two-tailedtest). Moreover, monarchs are not significantly differ-ent from military autocrats nor from civilian autocrats(p < .144). These tests provide corroborating evidencefor the logic of our model. Moreover, they highlightthe importance of considering the posttenure fate ofleaders, which the previous literature has ignored.

    Democracy vs. Nondemocracy

    Although the study of nondemocratic regime typesis in its relative infancy, much more has been saidabout the differences between dictatorships and

    democracies. In the discussion of the democraticpeace, it remains debated and empirically inconclusivewhether democracies are more peaceful overall orjust toward other democracies (i.e., whether thedemocratic peace is monadic or dyadic). For example,some claim evidence of a cats-and-dogs effect,where democracynondemocracy dyads are morewarprone than nondemocracynondemocracy dyads(Bennett and Stam 2004; Oneal and Russett 1997).However, more recent research seems to reject thecats-and-dogs effect (Bueno de Mesquita and Ray

    2004; Russett n.d.; Russett and Oneal 2001) and arguefor a possible monadic effect.

    As we discussed previously, our model straight-forwardly generates an explanation for the monadicdemocratic peace in that it orders dyads from mostto least peaceful: democracydemocracy, democracydictatorship, dictatorshipdictatorship. But we notethat the logic of the model can also accommodate adyadic version, whereby the democracydictatorshipdyad is at least as violent as the dictatorshipdictatorship dyad.

    Recall that claim 1 assumes that the costs of war areindependently distributed between the two countries.

    It could be argued, however, that the distribution ofthe costs is a function of the regime types in the dyad.For example, democrats may reciprocate the nonvio-lent norm of conflict resolution, which they experiencedomestically, with their democratic counterparts. Theymay see the other government as legitimate and find itdifficult to justify the use of force. However, democratsmay be suspicious of autocrats and may be more will-ing to use force to settle their disagreements. This isessentially the argument proposed by normative expla-nations of the democratic peace. As Peceny, Beer, andSanchez-Terry (2002) and others argue, dictators maytreat other dictators more favorably than they treatdemocrats.

    Our setup can easily accommodate such argumentsif we allow the distribution of the direct costs ofwar to be correlated. Then we show that if homoge-neous dyads (democracydemocracy and dictatorshipdictatorship) produce the same distribution of costs,the democracydemocracy dyad is necessarily morepeaceful than the dictatorshipdictatorship dyad forthe reasons laid out in the preceding section. Mixeddyads would be morewarpronethanhomogeneousdic-tatorship dyads if the leaders of mixed dyads are morelikely to have a low cost of war than the leaders of ho-mogeneous dyads (see claim 2 in the Appendix). Suchan assumption seems reasonable, as noted previously.

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    Taking a step back, we view it as a strength of ourframework that it can accommodate different view-points associated with the democratic peace. Never-theless, we are reluctant to move away from the as-sumption of our main model (i.e., that the costs of warare independently distributed for the two leaders). Webelieve that it is difficult to justify, empirically, whatshould be the appropriate correlation of costs across

    a broad range of regime types. We also believe thatit is important to ground our study, as much as pos-sible, on observable characteristics of regime types tounderstand the conflict propensity of different regimes.

    CONCLUSION

    In this article, we explore the relationship betweenregime type, the fate of leaders and war. We focus ontwo hitherto unexplored attributes of regime type, thecost of replacingleaders andthe consequences of losingoffice. Building on these assumptions, we explain theconflict propensity of a broad array of regime types.

    Although these are novel results, our setup is by nomeans limited to the study of war, and has broaderimplications to the study of international relations andcomparative politics. Specifically, we argue that theleaders policy choice depends on how that specificpolicy affects his or her tenure, given his or her regimetype. Thus, although democratic leaders may appearoverall more accountable than nondemocratic leaders,this may well be the result of an averaging out effectof their likelihood to lose office as a result of a broad setof potentialpolicies. In otherwords, democratic leadersmay be more likely to be removed from office for (thefailure) of one set of policies, whereas nondemocraticleaders may face a significantly higher probability oflosing office as the result of (the failure) of anotherset of policies. Thus, policy concessions may be morepainful for one or the other regime, depending onhow that particular policy affects their tenure in office.To give some examples, it remains an open questionwhether democrats are more sensitive to their recordon international trade, environmental policies, or re-distributive policies, which would make them more orless willing to make concessions on these dimensions.

    We believe, therefore, that a focus on leaders andtheir incentives holds great promise to explain the dif-ferent policies and behavior of different regime types,not only in international relations, but also in compar-

    ative politics.

    APPENDIX

    This is a one-shot game with four players, leaders L(i) andpopulations P(i) in countries i {A, B}. Leaders divide a pieof size one in the shadow of domestic accountability. L(i)picks an action ai from a setAi, producing either war (I

    w = 1)or peace (Iw = 0). War is an inefficient alternative to peace,generating a direct cost cj to j. A war is won by country

    A (B) with probability p (1 p). A country gets the fullinternational pie if it wins a war. Write zi for the share of theinternational pie going to country i. j gets a direct benefit

    from his or her countrys share of pie, valuing it at rate vj 0.26

    After the international pie has been allocated, P(i) de-cides whether to replace L(i). Write ri for the replacementdecision, where ri = 1 means that P(i) replaces L(i) andri = 0 means that it does not. Replacing L(i) imposes a (do-mestic) cost d(zi , t(i),I

    w) to P(i), where t(i) is the regimetype of country i, and brings a benefit bi . For tractabil-ity, we impose the functional form in Equation (2). bi is a

    preference shock that follows a uniform distribution U[0, 1],where the bounds 0 and 1 are sufficiently wide.27 Write Ffor the cdf of bi . Finally, assume that L(i) receives a pay-off O(t(i)) if he or she is ousted and I(t(i)) if he or sheis kept in office, where I(t(i)) > O(t(i)). Assume that t(A)and t(B) are independently distributed [i.e., for any t, t T,

    prob(t(B) = t|t(A) = t) = prob(t(B) = t)].

    Timing of the Game

    1. Regime types (t(A), t(B)) and direct costs of war cj arerealized and become public.

    2. Leaders pick their action (aA and aB).3. Countries get their share of the international pie (zA and

    zB).4. The benefit of supporting the challenger bi is realized ineach country i and becomes public.

    5. Populations decide whether to replace their leader (pick-ing rA and rB, respectively).

    Payoffs and Solution Concept

    The utility ofL(i), i {A, B} is given in Equation (4), wherePr(zi , t(i),I

    w) is the probability that L(i) remains in office.The utility ofP(i) is

    UP(i)(zi ,Iw) = vP(i)zi I

    wcP(i) + ri[bi d(zi, t(i),Iw)].

    We solvefor a subgame-perfect Nashequilibrium. We impose

    the following restrictions. First, we assume that war obtainsif and only if there is no division of the pie (zA, 1 zA) thatboth leaders prefer to war. We believe that this is a sensiblesolution concept that holds for a large array of bargainingprotocols. As a result, we do not specify which actions ai aretaken in equilibrium. Instead, we focus on the outcome ofinternational interaction Iw.

    Solution of the Model

    We solve the game by backward induction. Clearly, the pop-ulation does not replace its leader, or ri = 0, if and only if thecosts are greater than the benefits:

    bi < d(zi , t(i),Iw). (7)

    Using the uniform distribution U[0, 1], a leader thus stays inpower with probability

    Pr(zi, t(i),Iw) = F(d(zi , t(i),I

    w)) = d(zi, t(i),Iw)

    = (t(i)) + (t(i))(zi ,Iw). (8)

    26 We do not impose any restriction on whether the internationalpie is a public or a private good. For example, we could imposevL(i) + vP(i) = 1, interpreting vj as the share zi going to player j.27 By sufficiently wide, we mean, loosely, that the probability ofremoval is strictly between 0 and 1. Clearly, the results hold if thepreference shock is distributeduniformly on [l, h],where l 0, h 0.However, we choose the current formulation for ease of notation.

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    For tractability, we assume that the replacement tech-nology, d(zi , t(i),Iw) = (t(i)) + (t(i))(zi ,Iw), is symmetric[i.e., either (i) Equations (5) and (6) both hold; or (ii) neitherEquation (5) nor Equation (6) holds. Then we can show:

    Proposition 1. If neither Equation (5) nor Equation (6)holds, war does not occur. If both Equations (5) and (6) hold,then in equilibrium, for any L(i), and everything else beingequal,

    (a) There is a cut-off c R+ {} such that war occurs ifand only if the leaders direct cost of war (c L(i)) is strictlylower than c.

    (b) Either (i) war happens for any value of the level of the re-placement cost function (t(i)), or (ii) war never happensfor any (t(i)).

    (c) There is a cut-off 1 R+ {} such that war happensif and only if the sensitivity of the cost of replacement((t(i))) is strictly greater than 1.

    (d) There is a cut-off 2 R+ {} such that war happensif and only if the leaders private stakes (I(t(i)) O(t(i)))are strictly greater than 2.

    Proof. Write Ni(zA, cL(i), t(i))for the net benefit of a peace-ful bargain where countryA gets zA, for the leader of countryi, given a cost of war cL(i) and a regime type t(i). We have

    NA(zA, cL(A), t(A))

    = vL(A)(zA p) + cL(A) + (t(A))[I(t(A)) O(t(A))]

    [(zA, 0) [p(1, 1) + (1 p)(0, 1)]] (9)

    and

    NB(zA, cL(B), t(B))

    = vL(B)(zA p) + cL(B) + (t(B))[I(t(B)) O(t(B))]

    [(1 zA, 0) [p(0, 1) + (1 p)(1, 1)]]. (10)

    By assumption,

    Iw = 1 zA [0, 1]|NA(z

    A, cL(A), t(A))

    0, NB(z

    A, cL(B), t(B)) 0. (11)

    Therefore, if neither Equation (5) nor Equation (6) holds,Iw = 0 because NA(p, cL(A), t(A)) 0, NB(p, cL(B), t(B)) 0.Now assume that both Equations (5) and (6) hold.

    (a) follows fromNi (zA,cL(i),t(i))

    cL(i)> 0.

    (b) is immediate from Equations (9) and (10).

    Let us prove (c) for i = A [which is without loss of generalitybecause both Equations (5) and (6) hold].

    First assume that NB(0,

    cL(B),

    t(B)) 0 (t(A)).If zAA z

    BA, then NB(z

    AA, cL(B), t(B)) 0 and I

    w = 0(t(A)). In other words, 1 = 0.

    If zAA > zB

    A, then Iw = 0 NA(z

    BA, cL(A), t(A)) 0. Given

    that zAA > zB

    A,NA(z

    BA,cL(A),t(A))

    (t(A))< 0 and the conclusion follows

    immediately.The proof of (d) follows the same steps as (c).

    We will assume that both Equations (5) and (6) hold fromnow because it is the assumption that does not produce atrivial prediction that peace always prevails. Alternatively,we could assume that either Equation (5) or Equation (6)holds, with some probability, or that neither Equation (5)nor Equation (6) holds, and we would get the same results.

    Let fc(cL(A), cL(B)|t(A), t(B)) be the joint pdf of the costsof war and fc(cL(A)|t(A)) and fc(cL(B)|t(B)) be the marginalpdfs. We assume that the support of each marginal pdf is theset of positive real numbers R+. We impose the followingcondition:

    Condition 1. (Costs are Independently Distributed) Forevery cL(A) R+, cL(B) R+,

    f (cL(A), cL(B) | t(A), t(B)) = fc(cL(A) | t(A))fc(cL(B) | t(B))

    = fc(cL(A))fc(cL(B)).

    Then we show that claim 1 holds, i.e.,I(t

    ) O(t

    ) < I(t

    ) O(t) or (t) < (t) imply that, for any i {A, B},

    prob(Iw = 1 | t(i) = t) < prob(Iw = 1 | t(i) = t). (12)

    Proof. Letusprovethecase i = A[thecase i = Bfollows bythe same logic because both Equations (5) and (6) hold]. Letus prove the comparative statics for (t(A)) [the comparativestatics for I(t(A)) O(t(A)], clearly, follow the same logic.The probability that country A gets involved in war as afunction of its regime type t is

    prob(Iw = 1 | t(A) = t) =

    t

    prob(Iw = 1 | (t(A),

    t(B)) = (t

    , t))prob(t(B) = t).

    Write c(t(A), t(B), cL(B)) for the cut-off c de-scribed in proposition 1 (a). From proposition 1(c), c(t, t(B), cL(B)) c(t, t(B), cL(B)). Now note thatc(t, t(B), cL(B)) < c(t, t(B), cL(B)) for a set of positivemeasure, i.e., whenever

    cL(B) [max{NB(0, 0, t(B)), 0}, NB(p, 0, t(B))). (13)

    Indeed, NB(p, 0, t(B)) < 0 given Equation (6). Next,

    NB(0, 0, t(B)) > NB(p, 0, t(B)) becauseNB(zA,0,t(B))

    zA< 0. Fi-

    nally, if Equation (13) holds, then zBA [0,p) and c(t(A),t(B), cL(B)) = NA

    zBA, 0, t(A)

    , which satisfies c(t, t(B),

    cL(B)) < c(t, t(B), cL(B)). We then have

    prob(Iw = 1 | (t(A), t(B)) = (t, t))

    =

    0

    c(t(A),t(B),cL(B))0

    f (cL(A), cL(B) | t(A),

    t(B))dcL(A)dcL(B)

    =

    0

    c(t(A),t(B),cL(B))0

    fc(cL(A))fc

    (cL(B))dcL(A)dcL(B)

    =

    0

    fc(cL(B))Fc(c(t(A), t(B), cL(B)))dcL(B),

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    where Fc is the cdf of fc. Thus, prob(Iw = 1 | (t(A),

    t(B)) = (t, t)) < prob(Iw = 1 | (t(A), t(B)) = (t, t)) becausec(t, t(B), cL(B)) c(t, t(B), cL(B)), with the inequality beingstrict for a set of values cL(B) of positive measure, and the sup-port of each marginal pdf is R+. Equation (12) then followsimmediately.

    Democracy and Nondemocracy

    Let the set of regime types T = {D, N}, where D standsfor democracy and N for nondemocracy. Given the previ-ous arguments, we have (N) > (D), (N) > (D), I(N) O(N) > I(D) O(D). Therefore, assuming Equation (1) (di-rect costs are independently distributed), claim 1 impliesthat a democracy has a lower rate of war involvementthan a nondemocracy (prob(Iw = 1 | t(A) = D) < prob(Iw =1 | t(A) = N)).

    Now assume that costs are correlated between the leadersof countryA and B. For simplicity, we consider the case wherecL(i) belongs to a finite set C. Then we show:

    Claim 2. Let

    prob((cL(A), cL(B)) = (c, c) | (t(A), t(B)) = (D, D))

    = prob((cL(A), cL(B))

    = (c, c)|(t(A), t(B)) = (N, N))

    (14)

    for any c,c C. Then(i)

    prob(Iw = 1 | (t(A), t(B)) = (D, D))

    prob(Iw = 1|(t(A), t(B)) = (N, N)).

    (ii) There is a set C, a distribution of correlated costs and adistribution of regime types prob(t(i) = t) such that

    prob(Iw = 1|(t(A), t(B)) = (D, D))

    < prob(Iw = 1|(t(A), t(B)) = (N, N))

    < prob(Iw = 1|(t(A), t(B)) = (D, N)) (15)

    prob(Iw = 1|t(A) = D) < prob(Iw = 1|t(A) = N). (16)

    Proof. (i) Write c(t(A), t(B), cL(B)) for the cut-off c de-scribed in proposition 1 (a). From proposition 1 (c), (d), wehave

    c(D, D, cL(B)) c(N, D, cL(B)) c(N, N, cL(B)). (17)

    Therefore,

    prob(Iw = 1|(t(A), t(B)) = (D, D))

    = cC

    c 0, prob(Iw = 1|(t(A), t(B)) = (D, D)) = 0;

    prob(Iw = 1|(t(A), t(B)) = (N, N)) = 2; prob(Iw = 1|(t(A),

    t(B)) = (D, N)) = 1. (15) follows from 1 > 2 > 0. To proveEquation (16), note that

    prob(Iw = 1|t(A) = t) =

    t{D,N}prob(Iw = 1|(t(A),

    t(B)) = (t, t))prob(t(B) = t)

    so that

    prob(Iw = 1|t(A) = D) = 1prob(t(B) = N)

    prob(Iw = 1|t(A) = N) = 1prob(t(B) = D)

    + 2prob(t(B) = N)

    and

    prob(Iw = 1|t(A) = D) < prob(Iw = 1|t(A) = N)

    prob(t(B) = N)prob(t(B) = D)

    < 11 2

    .

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