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Classification Error in Dynamic Discrete Choice Models: Implications for Female Labor Supply Behavior Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael P. Keane () (University of Technology Sydney and Arizona State University)
Robert M. Sauer () (University of Southampton and IZA Bonn)
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Two key issues in the literature on female labor supply are: (1) if persistence in employment status is due to unobserved heterogeneity or state dependence, and (2) if fertility is exogenous to labor supply. Until recently, the consensus was that unobserved heterogeneity is very important, and fertility is endogenous. But Hyslop (1999) challenged this. Using a dynamic panel probit model of female labor supply including heterogeneity and state dependence, he found that adding autoregressive errors led to a substantial diminution in the importance of heterogeneity. This, in turn, meant he could not reject that fertility is exogenous. Here, we extend Hyslop (1999) to allow classification error in employment status, using an estimation procedure developed by Keane and Wolpin (2001) and Keane and Sauer (2005). We find that a fairly small amount of classification error is enough to overturn Hyslop’s conclusions, leading to overwhelming rejection of the hypothesis of exogenous fertility.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
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Length: 43 pages
Date of creation: Sep 2006Date of revision:
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Keywords: female labor supply fertility discrete choice classification error simulated maximum likelihood Other versions of this item:
Find related papers by JEL classification: J2 - Labor and Demographic Economics - - Demand and Supply of Labor J6 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables D1 - Microeconomics - - Household Behavior
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