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A Monte Carlo Evaluation of Labor Supply Models

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Author Info
Ericson, Peter
Flood, Lennart

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Abstract

In the area of labor supply and taxes advanced microeconometric methods have been developed in order to measure wage and income elasticities. Large variations in estimated elasticities have previously been reported in the literature. The purpose of the present study is to assess the sources for these discrepancies, and propose a robust estimator. According to our findings the commonly used maximum-likelihood estimator is sensitive to measurement errors in those variables that are needed in order to construct the individuals' budget sets. An iterative least squares estimator is preferred in small samples under several forms of specification and measurement errors.

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Publisher Info
Article provided by Springer in its journal Empirical Economics.

Volume (Year): 22 (1997)
Issue (Month): 3 ()
Pages: 431-60
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Handle: RePEc:spr:empeco:v:22:y:1997:i:3:p:431-60

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  1. Lennart Flood & Nizamul Islam, 2005. "A Monte Carlo evaluation of discrete choice labour supply models," Applied Economics Letters, Taylor and Francis Journals, vol. 12(5), pages 263-266, April. [Downloadable!] (restricted)
  2. Michiel Evers & Ruud de Mooij & Daniel J. van Vuuren, 2005. "What Explains the Variation in Estimates of Labour Supply Elasticities?," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
    Other versions:
  3. Michiel Evers & Ruud Mooij & Daniel Vuuren, 2008. "The Wage Elasticity of Labour Supply: A Synthesis of Empirical Estimates," De Economist, Springer, vol. 156(1), pages 25-43, March. [Downloadable!] (restricted)
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This page was last updated on 2009-12-31.


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