Top Banner
Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet Project Meeting
23

Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Dec 20, 2015

Download

Documents

Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Measuring Time Preference and the

Elasticity of Intertemporal Substitution

Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro

September 6, 2006

Internet Project Meeting

Page 2: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Behavioral Model

)(log rsc

• c is consumption,

• r is the real interest rate,

• s is the elasticity of intertemporal substitution, and

• ρ is the subjective discount rate

Page 3: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Research Design

• s, ρ : Preference parameters• r : Treatment• c : Behavioral response

Vary treatment and use responses to infer parameters.

Research Strategy

Page 4: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Implementation

• Vary Interest Rate– Vary cost of current consumption– Vary length of time periods

• Measure Consumption Choice– Choose among small set of paths– Actively form a desired path

• Infer Preferences– Summary statistics of responses– Statistical model with response error

Page 5: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Previous Survey Measures

• HRS 1992 Module K, N = 198– Analyzed by Barsky, Kimball, Juster, and

Shapiro (QJE 1997)

• HRS 1999 Mailout, N = 1,210– Similar content to part of Internet Survey

Questions explicitly vary the cost of current consumption and offer a discrete choice over a small set of consumption paths

Page 6: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

MS Internet SurveyWave 2 (Fall 2004)

• Version 1, N = 350– Vary cost of consumption– Choose from set of pairs

• Version 2, N = 155– Vary cost of consumption– Move bars to create pair

• Version 3, N = 183– Vary length of period– Move bars to create pair

Use graphics on internet to test other measures:

Page 7: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Series Introduction - Version 1 -

• Series includes four questions with varying interest rates

Page 8: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Introduction – 0% Interest Rate

• Sequence r = {0%, 4.6%, 9.2%, 13.8%} is random

• Introduction repeated for each interest rate

Page 9: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Patterns – 0% Interest Rate

• Asked to choose two patterns

• Above screen (1 of 6) is identical to HRS Mail Out

Page 10: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Expansion Screen

• Follow-up if first choice on boundary (A or E)

• New feature on Internet

Page 11: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Randomize Pair C

• Choice of ($3000, $3000) moves from B to C to D

• 3 values to the parameter

• New feature on internet

• Top screen on mail out

Page 12: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Randomize Left-to-Right

• Screens mirror image

• New feature on internet

• Top screen on mail out

Page 13: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Randomize Shifts with Interest Rate

• Example with r = 9.2%

• Choice of ($2750, $3900) moves from E to C to A

• 3 values to the parameter

• New feature on internet

• Middle screen on mail out

Page 14: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Summary of Innovations in Internet Question Series

• 18 different screen groups

• 6 different sequences of interest rates

• 11 discrete choices per question

• Encourage active choices

• Increase informative responses

• Isolate framing effects

Purpose of Innovations

Page 15: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Response Statistics

% N % NAny Responders 100.0 366 100.0 930 Complete Sequence 82.2 301 88.2 820

Complete Responders 100.0 301 100.0 820 Second Choice Pairs 77.1 232 90.6 743 All Extreme Pairs 2.0 6 17.2 141

Internet Mail

• Internet lower completion rate• Internet fewer second choices• Internet fewer non-informative responses

Page 16: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Consumption Growth at 0% Interest Rate

0

5

10

15

20

25

30

35

40

45

-13

.9

-11

.6

-9.2

-6.9

-4.6

-2.3

0.0

2.3

4.6

6.9

9.2

11

.6

13

.9

Consumption Growth at 0% Interest Rate

Pe

rce

nt

Internet Mail

• Constant consumption is modal choice

Page 17: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Change in Consumption Growth as Interest Rate to 13.8% from 0%

0

10

20

30

40

50

60-2

3.1

-20

.8

-18

.5

-16

.2

-13

.9

-11

.6

-9.2

-6.9

-4.6

-2.3

0.0

2.3

4.6

6.9

9.2

11

.6

13

.9

16

.2

18

.5

20

.8

23

.1

Growth at r = 13.8% Minus Growth at r = 0%

Pe

rce

nt

Internet Mail

• Interest rates change consumption more on internet

Internet Mail% Increase Growth 48.5 26.5% Decrease Growth 25.9 17.2

Page 18: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Change in Consumption Growth as Interest Rate Increases - Internet

• Decrease in growth is a sign of survey response error

0

5

10

15

20

25

30

35

40

45-2

3.1

-20

.8

-18

.5

-16

.2

-13

.9

-11

.6

-9.2

-6.9

-4.6

-2.3

0.0

2.3

4.6

6.9

9.2

11

.6

13

.9

16

.2

18

.5

20

.8

23

.1

Consumption Growth - Growth at 0% Interest Rate

Pe

rce

nt

r = 4.6% r = 13.8%

4.9% 13.8%% Increase Growth 34.2 48.5% Decrease Growth 22.9 25.9

Page 19: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Estimates of Parameters

Average in Sample Internet Mailsρ: Growth at r = 0% 0.13% 1.3%

s: IES by Interest Rate 0% to 4.6% 0.13 0.004 4.6% to 9.2% 0.14 0.01 9.2% to 13.8% 0.05 0.04

• Responses reveal low time preference and IES• Median and modal values in both surveys equal 0

Page 20: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

More Graphical Questions- Version 2 -

• Move bars to select a consumption path

Page 21: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

More Graphical Questions- Version 3 -

• Vary length of current and future periods

Page 22: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Implementation Issues

• Graphics require more programming– More programming → more bugs– Coordinate programmer and analyst

• Internet captures more data: number of clicks and interim responses

Internet expands preference measures, but

Page 23: Measuring Time Preference and the Elasticity of Intertemporal Substitution Miles S. Kimball, Claudia R. Sahm and Matthew D. Shapiro September 6, 2006 Internet.

Extensions / Renewal

• Refine and analyze data on IES, time preference, and risk tolerance – Improve instrument and output delivery– Estimate statistical model

• Measure complementary parameters– Diminishing marginal utility– Labor supply elasticities– Retirement elasticity