Theoretical and Practical Arguments for Modeling Labor Supply as a Choice Among Latent Jobs

26 Pages Posted: 26 Jan 2012

See all articles by John K. Dagsvik

John K. Dagsvik

Statistics Norway

Zhiyang Jia

Statistics Norway

Tom Kornstad

Statistics Norway

Thor O. Thoresen

Statistics Norway - Research Department; CESifo (Center for Economic Studies and Ifo Institute)

Date Written: January 26, 2012

Abstract

Models of labor supply derived from stochastic utility representations and discretized sets of feasible hours of work have gained popularity because they are more practical than the standard approaches based on marginal calculus. In this paper we argue that practicality is not the only feature that can be addressed by means of stochastic choice theory. This theory also offers a powerful framework for developing a more realistic model for labor supply choices, founded on individuals having preferences over jobs and facing restrictions on the choice of jobs and hours of work. We discuss and clarify how this modeling framework deviates from both the conventional discrete approach (Van Soest, 1995), as well as the standard textbook approach based on marginal calculus (Hausman, 1985). It is argued that a model based on job choice opens up for a more realistic representation of the choice environment, and consequently offers the possibility of conducting a richer set of simulations of alternative policies.

Keywords: labor supply, random utility models, tax reform

JEL Classification: C510, J220, H240

Suggested Citation

Dagsvik, John K. and Jia, Zhiyang and Kornstad, Tom and Thoresen, Thor O., Theoretical and Practical Arguments for Modeling Labor Supply as a Choice Among Latent Jobs (January 26, 2012). CESifo Working Paper Series No. 3708, Available at SSRN: https://ssrn.com/abstract=1992326 or http://dx.doi.org/10.2139/ssrn.1992326

John K. Dagsvik

Statistics Norway ( email )

N-0033 Oslo
Norway
22 86 48 71 (Phone)

Zhiyang Jia

Statistics Norway ( email )

N-0033 Oslo
Norway

Tom Kornstad

Statistics Norway ( email )

N-0033 Oslo
Norway

Thor O. Thoresen (Contact Author)

Statistics Norway - Research Department ( email )

Kongens Gt. 6
PO Box 8131 Dep
N-0033 Oslo
Norway

CESifo (Center for Economic Studies and Ifo Institute)

Poschinger Str. 5
Munich, DE-81679
Germany

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