CONFERENCE ON INEQUALITY IN MEMORY OF GARY BECKER FACTS AT A GLANCE September 25–26, 2014 Hoover Institution Stanford University
CONFERENCE ON INEQUALITY IN MEMORY OF
GARY BECKER
FACTS AT A GLANCE
September 25–26, 2014Hoover InstitutionStanford University
Conference on Inequality in Memory of Gary Becker
This conference is in memory of Gary Becker and will explore various measures of inequality and pose the
question whether or not it is increasing. In exploring this question and examining policy implications, pre-
senters will draw, where possible, on research on human capital and intergenerational mobility. Presenters
will address the key policy question of what to do, with particular attention during the discussion to those
at the bottom of the income distribution and the overall effects on economic growth.
“Since Rousseau, many intellectuals have been opposed to inequality per se. Most people, however, distinguish deserving from undeserving inequality. Clearly, much of the income and wealth inequality in any country would be considered deserving because it results from greater abilities and dedication. Governments are expected to reduce obstacles to deserving wealth. Unfortunately, they create many of the undeserved sources of inequality themselves.”
Gary S. BeckerContrived Inequality
Hoover Digest, Summer 2013
1
Note: Pre-tax, pre-transfer income, including realized capital gains, and excluding all government transfers.Data Source: Piketty and Saez 2003 updated through 2012.Figure 2 – Decomposing the Top Decile US Income Share Into Three Groups, 1913-2012.
Top Income Shares Were Flat From the 1940s to the 1980sTop Income Shares Were Flat From the 1940s to the 1980s
Data Source: Piketty and Saez 2003 updated through 2012. Figure 2 – Decomposing the Top Decile US Income Share Into Three Groups, 1913-2012.
Note: Pre-tax, pre-transfer income, including realized capital gains, and excluding all government transfers.
0%
5%
10%
15%
20%
25%
1917 1922 1927 1932 1937 1942 1947 1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 2007 2012
Shar
e of
Agg
rega
te In
com
e
90th to 95th percentile 95th to 99th Percentile Top 1 Percent
2
Note: Household, pre-tax, post-transfer “money” income.Data Source: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplements.
The Highest Quintile’s Income Share Has Grown Since the 1980sThe Highest Quintile’s Income Share Has Grown Since the 1980s
Data Source: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplements. Note: Household, pre-tax, post-transfer “money” income.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Perc
ent o
f Agg
rega
te H
ouse
hold
Inco
me
Highest Quintile
Lowest Quintile
Second Quintile
Middle Quintile
Fourth Quintile
3
Note: Unit of analysis is tax filer. Pre-tax, pre-transfer income including capital gains.Data Source: Saez, “Income Inequality in the United States, 1913-1998,” Updated to 2012, Table A6.
The Top 1 Percent’s Incomes Have GrownFaster Than Other Income Groups
The Top 1 Percent’s Incomes Have Grown Faster Than Other Income Groups
-10%
40%
90%
140%
190%
240%
Perc
ent C
hang
e in
Inco
me
Sinc
e 19
80
Bottom 90 Percent 90th to 95th Percentile 95th to 99th Percentile Top 1 Percent
Data Source: Saez, “Income Inequality in the United States, 1913-1998,” Updated to 2012, Table A6. Note: Unit of analysis is tax filer. Pre-tax, pre-transfer income including capital gains.
4
Note: Household, size-adjusted, market income.Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011, Figures 5 and 11.
Rising Gini Coefficient Shows Growing Income InequalityRising Gini Coefficient Shows Growing Income Inequality
Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011, Figures 5 and 11.
0.45
0.50
0.55
0.60
Note: Household, size-adjusted, market income.
5
Notes: Household income. 2010 dollars using CPI-U-RS. Includes realized capital gains.Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011.
Mean Incomes Growing Faster Than Median IncomesMean Incomes Growing Faster Than Median Incomes
$40,000
$50,000
$60,000
$70,000
$80,000
$90,000
$100,000
Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011. Notes: Household income. 2010 dollars using CPI-U-RS. Includes realized capital gains.
Mean Market Income
Median Market Income
6
Notes: Household income. 2010 dollars using CPI-U-RS. Includes realized capital gains. Transfers include all cash and in-kindgovernment assistance. Fungible value of government-provided health insurance calculated by Census Bureau.Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011.
Federal Taxes and Transfers Reduce the GapBetween Mean and Median Income
Federal Taxes and Transfers Reduce the Gap Between Mean and Median Income
$40,000
$50,000
$60,000
$70,000
$80,000
$90,000
$100,000
Notes: Household income. 2010 dollars using CPI-U-RS. Includes realized capital gains. Transfers include all cash and in-kind government assistance. Fungible value of government-provided health insurance calculated by Census Bureau. Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011.
Mean Market Income Plus Transfers Minus Federal Taxes
Median Market Income Plus Transfers Minus Federal Taxes
7
Source: Kaplan and Rauh, “It’s the Market: The Broad-Based Rise in the Return to Top Talent,” Journal of Economic Perspectives27 (Summer 2013), Figure 4.
Share of Income Accruing to the Top 1 PercentShare of Income Accruing to the Top 1 Percent
0
5
10
15
20
25
Shar
e of
Agg
rega
te In
com
e
Before Taxes and Transfers (Piketty-Saez) After Transfers, Before Taxes (CBO) After Taxes (CBO)
Source: Kaplan and Rauh, “It’s the Market: The Broad-Based Rise in the Return to Top Talent,” Journal of Economic Perspectives 27 (Summer 2013), Figure 4.
8
Note: Fungible value of health insurance for Medicaid, Medicare, and CHIP valuations calculated by Census Bureau.Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011, Figure 13.
Transfers as a Share of Market Household Income Are FlatTransfers as a Share of Market Household Income Are Flat
0
1
2
3
4
5
6
7
8
Perc
ent o
f Hou
seho
ld M
arke
t Inc
ome
Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011, Figure 13. Note: Fungible value of health insurance for Medicaid, Medicare, and CHIP valuations calculated by Census Bureau.
Social Security
Other
Medicare, Medicaid, and CHIP
9
Note: Fungible value of health insurance for Medicaid, Medicare, and CHIP valuations calculated by Census Bureau.Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011, Figure 14.
Higher Quintiles Receiving Larger Share of TransfersHigher Quintiles Receiving Larger Share of Transfers
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Share of Aggregate Transfers
Second Quin4le
Third Quin4le
Highest Quin4le
Fourth Quin4le
Data Source: CBO, “Trends in the Distribution of Household Income Between 1979 and 2007,” 2011, Figure 14.
Lowest Quin4le
Note: Fungible value of health insurance for Medicaid, Medicare, and CHIP valuations calculated by Census Bureau.
54%
36%
16%
22%
12%
13% 9%
8%
10%
19%
10
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Income Tax Rates Have Fallen Across QuintilesIncome Tax Rates Have Fallen Across Quintiles
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
-10
-5
0
5
10
15
20
25
Aver
age
Inco
me
Tax
Rat
e
Lowest Quintile Second Quintile Middle Quintile Fourth Quintile Highest Quintile
11
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Within the Top Quintile, Income Tax Rates Have Also FallenWithin the Top Quintile, Income Tax Rates Have Also Fallen
-‐10
-‐5
0
5
10
15
20
25
Average Income Tax Rate
81st to 90th Percentiles 91st to 95th Percentiles 96th to 99th Percentiles Top 1 Percent
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
12
Note: Includes income, social insurance, corporate, and excise taxes.Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Total Federal Tax Rates Have Also FallenTotal Federal Tax Rates Have Also Fallen
0
5
10
15
20
25
30
Aver
age
Fede
ral T
ax R
ate
Lowest Quintile Second Quintile Middle Quintile Fourth Quintile Highest Quintile
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013. Note: Includes income, social insurance, corporate, and excise taxes.
13
Note: Includes income, social insurance, corporate, and excise taxes.Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Total Federal Tax Rates Within the Top Quintile Are Also Lower
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
15
20
25
30
35
Aver
age
Fede
ral T
ax R
ate
81st to 90th Percentiles 91st to 95th Percentiles 96th to 99th Percentiles Top 1 Percent
Total Federal Tax Rates Within the Top Quintile Are Also Lower
Note: Includes income, social insurance, corporate, and excise taxes.
14
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Top Quintile Paying a Greater Share of Income TaxesTop Quintile Paying a Greater Share of Income Taxes
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Shar
e of
Inco
me
Taxe
s
BoKom 80 Percent
Top 20 Percent
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
15
Note: Includes income, social insurance, corporate, and excise taxes.Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Top Quintile Paying a Greater Share of Total TaxesTop Quintile Paying a Greater Share of Total Taxes
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Shar
e of
Fed
eral
Tax
es
Top 20 Percent
Bottom 80 Percent
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013. Note: Includes income, social insurance, corporate, and excise taxes.
16
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Share of Federal Income Taxes Paid byTop 1 Percent Has Doubled
Share of Federal Income Taxes Paid by Top 1 Percent Has Doubled
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Shar
e of
Inco
me
Taxe
s
39%
25%
14%
15%
18%
17%
13%
17% 91st to 95th Percentiles
96th to 99th Percentiles
Top 1 Percent
81st to 90th Percentiles
17
Note: Includes income, social insurance, corporate, and excise taxes.Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013.
Share of Federal Taxes Paid by Top 1 Percent Has IncreasedShare of Federal Taxes Paid by Top 1 Percent Has Increased
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Shar
e of
Fed
eral
Tax
es
91st to 95th Percentiles
96th to 99th Percentiles
Top 1 Percent
81st to 90th Percentiles
Data Source: CBO, “The Distribution of Household Income and Federal Taxes, 2010,” 2013. Note: Includes income, social insurance, corporate, and excise taxes.
24%
17%
12%
16%
14%
14%
11%
16%
18
Source: Emmanuel Saez, 2013 Arrow Lecture, Stanford University. Series is pre-tax, cash market income including realizedcapital gains and excluding government transfers.
Top Marginal Tax Rates Inversely Correlated withPre-Tax Top Income Shares
Top Marginal Tax Rates Inversely Correlated with Pre-Tax Top Income Shares
Source: Emmanuel Saez, 2013 Arrow Lecture, Stanford University. Series is pre-tax, cash market income including realized capital gains and excluding government transfers.
19
Note: Top tax brackets shown for 1960 to 2010 are lowest bracket for top marginal tax rate out of married, single, or head of household filing statuses. Where top brackets do not split evenly by IRS data, a proportional share of tax filers is calculated. Tax filers paying top rate is therefore an estimate of the maximum number of individuals paying the top marginal tax rate.Data Sources: IRS Statistics of Income, Individual Income Tax Returns. Historical marginal federal tax rates from The Tax Foundation,“Federal Individual Income Tax Rates History.”
Few Filers Are in Top Tax Brackets WhenMarginal Tax Rates Are High
Few Filers Are in Top Tax Brackets When Marginal Tax Rates Are High
Year Total Tax Filers Estimated Tax
Filers Paying Top Rate
Percent of Filers Paying
Top Rate
Top Marginal Tax
Rate
Top Tax Bracket (Nominal Dollars)
1920 7,600,000 33 0.0005% 73% $1,000,000
1930 3,700,000 6,200 0.17% 63% $100,000
1940 14,600,000 1 0.00001% 79% $5,000,000
1950 53,100,000 4,900 0.009% 91% $200,000
1960 61,000,000 5,800 0.01% 91% $200,000
1970 74,300,000 77,300 0.10% 70% $180,000
1980 93,900,000 559,400 0.60% 70% $107,700
1990 113,700,000 64,200,000 56.5% 28% $16,225
2000 129,400,000 6,800,000 5.3% 39.1% $144,175
2010 142,900,000 7,100,000 4.9% 35% $186,825
Data Sources: IRS Statistics of Income, Individual Income Tax Returns. Historical marginal federal tax rates from The Tax Foundation, “Federal Individual Income Tax Rates History.”
Note: Top tax brackets shown for 1960 to 2010 are lowest bracket for top marginal tax rate out of married, single, or head of household filing statuses. Where top brackets do not split evenly by IRS data, the appropriate proportion is calculated. Tax filers paying top rate is therefore an estimate of the maximum number of individuals paying the top tax bracket.
20
Note: Income is pre-tax, pre-transfer income. Includes capital gains and excludes all government transfers.Data sources: Australia (Atkinson and Leigh, 2007), Canada (Saez and Veall, 2005), France (Piketty, 2001), Netherlands (Salverda andAtkinson, 2007), Sweden (Roine and Walderstrom, 2010), United Kingdom (Atkinson, 2007), and United States (Piketty and Saez, 2007).Collected at World Top Incomes Database.
Growth in the Share of Income of the Top 1 Percent is Unique toUnited Kingdom, United States, and Canada
Growth in the Share of Income of the Top 1 Percent is Unique to United Kingdom, United States, and Canada
0
5
10
15
20
25
30
1914 1922 1930 1938 1946 1954 1962 1970 1978 1986 1994 2002 2010
Shar
e of
Agg
rega
te In
com
e
United States United Kingdom Canada Australia France Sweden Netherlands
Data sources: Australia (Atkinson and Leigh, 2007), Canada (Saez and Veall, 2005), France (Piketty, 2001), Netherlands (Salverda and Atkinson, 2007), Sweden (Roine and Walderstrom, 2010), United Kingdom (Atkinson, 2007), and United States (Piketty and Saez, 2007). Collected at World Top Incomes Database.
Note: Income is pre-tax, pre-transfer income. Includes capital gains and excludes all government transfers.
21
Notes: Figure is the ratio of high income (80th-95th percentile) to low income (5th-20th percentiles) labor earnings, before-tax income,after-tax income, and consumption expenditures. Estimates of earnings and consumption from Consumer Expenditure Survey.Source: Aguiar and Bils, 2011, Figure 1.
U.S. Consumption Inequality Is Growing,But Slower Than Income Inequality
U.S. Consumption Inequality Is Growing, But Slower Than Income Inequality
0
2
4
6
8
10
12
Rat
io o
f Ave
rage
Hig
h to
Ave
rage
Low
Inco
me
Source: Aguiar and Bils, 2011, Figure 1.
Notes: Figure is the ratio of high income (80th-95th percentile) to low income (5th-20th percentiles) labor earnings, before-tax income, after-tax income, and consumption expenditures. Estimates of earnings and consumption from Consumer Expenditure Survey.
Earnings
Before Tax Income
After Tax Income
Consumption
22
Varying Estimates on Consumption InequalityVarying Estimates on Consumption Inequality
Findings on the change in consumption inequality relative to income inequality
Krueger and Perri (2005) Consumption inequality is growing, but not as quickly as income inequality
Attanasio, Hurst, Pistaferri (2012) Consumption and income inequality are growing at the same rate
Aguiar and Bils (2013) Estimates are between Krueger & Perri and Attanasio, Hurst & Pistaferri
23
Notes: Saez-Zucman data is derived from IRS data and typical returns on various asset classes. Kennickell data is the Surveyof Consumer Finances.Source: Saez and Zucman, “The Distribution of US Wealth, Capital Income and Returns Since 1913,” March 2014, Slide 57.
Estimates of U.S. Wealth Inequality FollowSame Trend as Income Inequality
Estimates of U.S. Wealth Inequality Follow Same Trend as Income Inequality
Source: Saez and Zucman, “The Distribution of US Wealth, Capital Income and Returns Since 1913,” March 2014, Slide 57.
Notes: Saez-Zucman data is derived from IRS data and typical returns on various asset classes. Kennickell data is the Survey of Consumer Finances.
Shar
e of
Wea
lth H
eld
by T
op 1
0%
24
Note: Estimates are derived from IRS data and typical returns on various asset classes.Source: Saez and Zucman, “The Distribution of US Wealth, Capital Income and Returns Since 1913,” March 2014, Slide 57.
Like Income Inequality, Wealth Inequality IsDriven by the Wealthiest 0.1 Percent
Like Income Inequality, Wealth Inequality Is Driven by the Wealthiest 0.1 Percent
Source: Saez and Zucman, “The Distribution of US Wealth, Capital Income and Returns Since 1913,” March 2014, Slide 57. Note: Estimates are derived from IRS data and typical returns on various asset classes.
25
Source: Thomas Piketty, Capital in the 21st Century, Figure 10.6. Top World Incomes Database.
U.S. Wealth Inequality Surpassed Europe in 1960U.S. Wealth Inequality Surpassed Europe in 1960
Source: Thomas Piketty, Capital in the 21st Century, Figure 10.6. Top World Incomes Database.
26
Source: Miles Corak, “Income Inequality, Equality of Opportunity, and Intergenerational Mobility,” Journal of EconomicPerspectives, Summer 2013, Figure 1.
Income Inequality Inversely Correlatedwith Intergenerational Mobility
Income Inequality Inversely Correlated with Intergenerational Mobility
Source: Miles Corak, “Income Inequality, Equality of Opportunity, and Intergenerational Mobility,” Journal of Economic Perspectives, Summer 2013, Figure 1.
27
Notes: Graph shows probability of reaching top quintile at age 26, sorted by parents’ income quintile. Solid lines are from matched SOI sample using 1971-82 birth cohorts. Dotted lines are from population-based sample for 1980-86 birth cohorts.Source: Chetty et al., “Is the United States Still the Land of Opportunity? Recent Trends in Intergenerational Mobility,” Presentation, Slide 33
Chetty Finds U.S. Intergenerational Mobilityis Relatively Constant
Chetty Finds U.S. Intergenerational Mobility is Relatively Constant
29 Source: Chetty et al., “Is the United States Still the Land of Opportunity? Recent Trends in Intergenerational Mobility,” Presentation, Slide 33.
Notes: Graph shows probability of reaching top quintile at age 26, sorted by parents’ income quintile. Solid lines are from matched SOI sample using 1971-82 birth cohorts. Dotted lines are from population-based sample for 1980-86 birth cohorts.
Top Quintile
0
5
10
15
20
25
30
35
Prob
abili
ty o
f Rea
chin
g To
p Q
uint
ile o
f 26
Year
Old
s
Middle Quintile
Top Quintile
28
Source: Katharine Bradbury, “Trends in U.S. Family Income Mobility, 1969-2006,” Federal Reserve Working Paper, October 2011,Table 2.
Bradbury Finds Declining U.S. Intergenerational MobilityBradbury Finds Declining U.S. Intergenerational Mobility
Source: Katharine Bradbury, “Trends in U.S. Family Income Mobility, 1969-2006,” Federal Reserve Working Paper, October 2011, Table 2.
Percent of Highest Quintile Who Move Down
Percent of Lowest Quintile Who Move Up
Percent of Highest Quintile Who Move to Middle, Second, or Lowest Quintile
Percent of Lowest Quintile Who Move to Middle, Fourth, or Highest Quintile
10%
15%
20%
25%
30%
35%
40%
45%
50%
55%
29
Notes: * denotes significant difference from the United States. Data for the United States come from National Longitudinal Surveyof Youth. Individuals measured were born between 1957 and 1964, parental incomes measured in 1978, and current individualearnings measured between 1996 and 2002.Source: Jantti et al. 2006, Tables 4 and 12.
Lowest Quintile in the U.S. Is Less Mobile Than Other CountriesLowest Quintile in the U.S. Is Less Mobile Than Other Countries
Percent of men whose fathers were in the lowest quintile of the earnings distribution Remained in the lowest
quintile Climbed to second,
third, or fourth quintiles Climbed to the highest
quintile Denmark 25%* 61% 14%* Finland 28%* 61% 11% Norway 28%* 60% 12%* Sweden 26%* 63% 11% United Kingdom 30%* 57% 12%* United States 42% 50% 8%
Source: Jantti et al. 2006, Tables 4 and 12.
Notes: * denotes significant difference from the United States. Data for the United States come from National Longitudinal Survey of Youth. Individuals measured were born between 1957 and 1964, parental incomes measured in 1978, and current individual earnings measured between 1996 and 2002.
30
Notes: * denotes significant difference from the United States. Data for the United States come from National Longitudinal Surveyof Youth. Individuals measured were born between 1957 and 1964, parental incomes measured in 1978, and current individualearnings measured between 1996 and 2002.Source: Jantti et al. 2006, Tables 4 and 12.
Top Quintile in the U.S. Has Similar Mobility to Other CountriesTop Quintile in the U.S. Has Similar Mobility to Other Countries
Percent of men whose fathers were in the top quintile of the earnings distribution Dropped to the lowest
quintile Dropped to second,
third, or fourth quintiles Remained in the highest
quintile Denmark 15%* 45% 36% Finland 15%* 50% 35% Norway 15%* 50% 35% Sweden 16%* 47% 37% United Kingdom 11% 60% 30% United States 10% 55% 36%
Source: Jantti et al. 2006, Tables 4 and 12.
Notes: * denotes significant difference from the United States. Data for the United States come from National Longitudinal Survey of Youth. Individuals measured were born between 1957 and 1964, parental incomes measured in 1978, and current individual earnings measured between 1996 and 2002.
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