Earnings dynamics and the adjustment of households to shocks to their earnings are fundamental ingredients to understanding many aspects of household behavior. Moreover, they are key determinants of how households will respond to changes in Social Security policy. This project will use unique elements of the Health and Retirement Survey to quantify the stochastic process for earnings and to study how households respond to shocks to their earnings. The project has two parts. The first will estimate earnings dynamics. The second will use these estimates of earnings dynamics to study saving, asset accumulation, and portfolio choice. First, this project will exploit the matching of the Social Security Administration's earnings histories and the HRS data in order to quantify the dynamics of individuals' earnings over their lives. It will focus on describing and interpreting the relative importance of permanent transitory movements in earnings, and thus characterize the relation between current income and permanent income. Second, the project will use the estimated earnings dynamics--together with data on wealth, saving and consumption, and portfolio choice--to analyze household saving and asset accumulation decisions. It will address several questions. How do households respond to unpredictable movements in earnings? How do households adjust their asset stock in anticipation of shocks to earnings? And how do portfolio allocations, e.g. between stocks and bonds, respond to earnings uncertainty.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG010179-05
Application #
6200978
Study Section
Project Start
1999-08-15
Project End
2000-03-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
5
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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Kimball, Miles; Weil, Philippe (2009) Precautionary Saving and Consumption Smoothing Across Time and Possibilities. J Money Credit Bank 41:245-284
Kimball, Miles S; Sahm, Claudia R; Shapiro, Matthew D (2008) Imputing Risk Tolerance From Survey Responses. J Am Stat Assoc 103:1028-1038