Title: High and Low Savers? Circumstances, Patience, and Cognition
1High and Low Savers? Circumstances, Patience, and
Cognition
2Differences in Consumption (Saving) Rates Across
Households
- Circumstances?
- Such as income shocks differences in pensions
(income replacement rate in retirement) income
profiles etc. - Or Types of Savers?
- By inherent characteristics such as
preferences or ability/cognition
3Getting Past Circumstances
- Circumstances create cross-household variation
when measuring rates C/Income or C/NetWorth - Difficult to isolate role of preferences or other
inherent differences across households
4The Right Rate Consumption and Full Wealth
- Lifecycle/PIH theory since Modigliani says
consumption should depend on all current and
future resources (including financial and human
wealth.) - Like a stock value of permanent income from today
forward - I call this PV of all resources
- Modigliani full wealth M
5Data Allows Comparison Testing
- A credible estimate of M for older households,
together with consumption, available for the
first time in the HRS - Compare observed propensity to consume C/M to
neoclassical model of optimal consumption rates - Use survey estimates of models factors that vary
across households to indicate which factors play
largest role in explaining observed variation in
C/M
6Neoclassical Model (Merton 1971)
- Mortality and rate of return the only sources of
uncertainty
Subject to
Estimate mortality with Gompertz function ?age
?1 e(?2age)
7Average Propensity to Consume
Infinite Horizon (no mortality)
- Implications
- C is proportional in M
- C/M depends only on preferences, stochastic
return characteristics, and mortality. - C/M does not depend directly on M, income
profile, or outcome of past income shocks
8Findings
- Survey estimates of model factors matter in
expected direction - Heterogeneity in observed C/M! Rich save more
(lower propensity to consume) - Inherent characteristics or types important in
explaining C/M - Within neoclassical/rational model must have
heterogeneous time preference to explain C/M - Looking outside standard model cognition
planning matter to C/M
9Model Factors
Dependent Variable ln(C/M) (1) (2)
Log Predicted C/M with variation by mortality only 0.013 (0.002)
Log Predicted C/M with variation by mortality and expected risky returns 0.017 (0.002)
N1842 R20.023 R20.027
10Adding Survey Measures of Model Factors
Dependent Variable ln(C/M) with additional demographics with additional demographics with additional demographics
Subjective Life Expectancy Ratio -0.137 (0.044) -0.080 (0.043)
Probability of Bequest gt10k (Continuous) -0.002 (0.001)
Probability of Bequest gt100k (Continuous) -0.003 (0.001)
Risk Aversion Survey Measure -0.022 (0.007)
Model Prediction 1.33 (0.363) 1.04 (0.359) 1.45 (0.454)
Constant 3.69 -3.55 -5.77
R20.231 R20.287 R20.226
N1190 N1190 N894
11Rich Save MoreC/M Varies by Income or Wealth
Level
12Beyond the Neoclassical ModelAbilities
Cognition Planning
- Bounded cognition
- Propensity to plan
- Expectations formation
- (Lusardi, LillardWillis, CaplinLeahy)
13Measures in HRS
- HRS asks questions on basic cognition (recall,
counting, subtraction) plus planning horizon and
subjective expectations - Lillard Willis focal point answers
precision of expectations formation related to
financial decisions - Measures matter such that lower cognition, less
precision, and shorter planning horizons all
imply higher propensities to consume
14Cognition/Planning Predict C/M
Dependent Variable Residual of ln(C/M) after full regression
Long Financial Planning Horizon -0.070 (0.028)
Fraction of Precise Answers -0.088 (0.053)
High Word Recall -0.062 (0.030)
Counting Backwards -0.124 (0.048)
Hardest Subtraction Problem -0.049 (0.030)
N1645 R20.027
15Further Evidence Loosely Related Preference
Covariates
Dependent Variable Residual of ln(C/M) after full regression
Ever Smoked 0.046 (0.028)
Reports would Spend all of hypothetical income increase 0.091 (0.053)
Reports would Save all of hypothetical income increase -0.055 (0.031)
N1645 R20.01
Dependent Variable Residual of ln(C/M) after full regression Dependent Variable Residual of ln(C/M) after full regression Dependent Variable Residual of ln(C/M) after full regression Dependent Variable Residual of ln(C/M) after full regression Dependent Variable Residual of ln(C/M) after full regression Dependent Variable Residual of ln(C/M) after full regression
Personality Questions
Seldom apprehensive about future 0.028 (0.022) 0.048 (0.023)
Strive for excellence -0.097 (0.024) -0.109 (0.029)
Clear set of goals and work toward them -0.026 (0.023) -0.006 (0.025)
Work hard to accomplish goals -0.063 (0.034) -0.011 (0.039)
N235 N235 N235 N235 N235 N235