{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T07:41:29Z","timestamp":1697701289966},"reference-count":38,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2008,6,2]],"date-time":"2008-06-02T00:00:00Z","timestamp":1212364800000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Applied Econometrics"],"published-print":{"date-parts":[[2008,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We consider a utility\u2010consistent static labor supply model with flexible preferences and a nonlinear and possibly non\u2010convex budget set. Stochastic error terms are introduced to represent optimization and reporting errors, stochastic preferences, and heterogeneity in wages. Coherency conditions on the parameters and the support of error distributions are imposed for all observations. The complexity of the model makes it impossible to write down the probability of participation. Hence we use simulation techniques in the estimation. We compare our approach with various simpler alternatives proposed in the literature. Both in Monte Carlo experiments and for real data the various estimation methods yield very different results. Copyright \u00a9 2008 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/jae.1010","type":"journal-article","created":{"date-parts":[[2008,6,2]],"date-time":"2008-06-02T12:20:18Z","timestamp":1212409218000},"page":"395-422","source":"Crossref","is-referenced-by-count":15,"title":["The estimation of utility\u2010consistent labor supply models by means of simulated scores"],"prefix":"10.1002","volume":"23","author":[{"given":"Hans 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