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Using Micro Data to Estimate the Intertemporal Substitution Elasticity for Labor Supply in an Implicit Contract Model

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Author Info
John C. Ham
Kevin T. Reilly

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Abstract

Economists have devoted substantial resources to estimating the intertemporal substitution elasticity for labor supply because this elasticity plays a crucial role in the real business cycle literature. Generally, the estimates of the elasticity have been too low to explain business cycles. Economists have responded by trying to modify real business cycle models to allow for smaller elasticities, but they have experienced mixed success at best. However, the standard intertemporal substitution model has not done well when tested, and if this model is incorrect, so will be the estimated labor supply elasticities based upon it. An equilibrium alternative to the standard intertemporal labor supply model is the implicit contract model. In this latter model firms and workers bargain over state-contingent contracts denominated in terms of consumption and hours of work. Further, the price of leisure is the marginal product of labor or the shadow wage, which differs from the observed wage. A number of studies have found that the data are compatible with an implicit contract model; in particular in Ham and Reilly (2002) we found that we could reject a separable (within period) implicit contract model but not a non-separable one. If an implicit contract model is appropriate, this is the context in which we should try to estimate the intertemporal labor supply elasticity. However this estimation is potentially quite difficult with micro data since the shadow wage (marginal product of labor) is unobserved. In this paper we first develop a procedure that allows one to estimate the intertemporal substitution elasticity in an implicit contract model from micro data. We then implement this procedure using the Panel Study of Income Dynamics (PSID) and the Consumer Expenditure Survey (CES). We obtain statistically significant elasticities of 0.9 with the PSID and 1.0 with the CES. The consistency of the estimate across the data sets is impressive given that we use different estimation approaches (micro data versus synthetic cohorts) and different consumption measures (food consumption versus total nondurable consumption) in the two data sets. These results are three times larger than existing estimates based on the standard intertemporal supply elasticity from this data set and thus offer more hope that equilibrium perspectives on the labor market are capable of tracking the data. Given that the implicit contract model is less likely to be rejected than the standard model in our work and other research, we believe that our approach should prove to be quite useful.

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Paper provided by Institute of Economic Policy Research (IEPR) in its series IEPR Working Papers with number 06.54.

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Length: 33 pages
Date of creation: Jul 2006
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Handle: RePEc:scp:wpaper:06-54

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Find related papers by JEL classification:
E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
J60 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - General

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  1. Mankiw, N Gregory & Rotemberg, Julio J & Summers, Lawrence H, 1985. "Intertemporal Substitution in Macroeconomics," The Quarterly Journal of Economics, MIT Press, vol. 100(1), pages 225-51, February. [Downloadable!] (restricted)
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  2. Altonji, Joseph G, 1986. "Intertemporal Substitution in Labor Supply: Evidence from Micro Data," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages S176-S215, June. [Downloadable!] (restricted)
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  3. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May. [Downloadable!] (restricted)
  4. Abowd, John M & Card, David, 1987. "Intertemporal Labor Supply and Long-term Employment Contracts," American Economic Review, American Economic Association, vol. 77(1), pages 50-68, March. [Downloadable!] (restricted)
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  5. Attanasio, Orazio P & Weber, Guglielmo, 1995. "Is Consumption Growth Consistent with Intertemporal Optimization? Evidence from the Consumer Expenditure Survey," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1121-57, December. [Downloadable!] (restricted)
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  6. Alon Brav & George M. Constantinides & Christopher C. Geczy, 1999. "Asset Pricing with Heterogeneous Consumers and Limited Participation: Empirical Evidence," CRSP working papers 505, Center for Research in Security Prices, Graduate School of Business, University of Chicago. [Downloadable!]
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  1. Gary D. Hansen, . "Business Cycle Fluctuations and the Life Cycle: How Important is Learning by Doing? (with Selo Imrohoroglu)," UCLA Economics Online Papers 421, UCLA Department of Economics. [Downloadable!]
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