Bayesian Procedures as a Numerical Tool for the Estimation of Dynamic Discrete Choice Models
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Other versions of this item:
- Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2012. "Bayesian Procedures as a Numerical Tool for the Estimation of Dynamic Discrete Choice Models," Discussion Papers of DIW Berlin 1210, DIW Berlin, German Institute for Economic Research.
References listed on IDEAS
- Akay, Alpaslan, 2009. "Dynamics of the Employment Assimilation of First-Generation Immigrant Men in Sweden: Comparing Dynamic and Static Assimilation Models with Longitudinal Data," IZA Discussion Papers 4655, Institute for the Study of Labor (IZA).
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- Kurowska, Anna & Myck, Michal & Wrohlich, Katharina, 2012.
"Family and Labor Market Choices: Requirements to Guide Effective Evidence-Based Policy,"
IZA Discussion Papers
6846, Institute for the Study of Labor (IZA).
- Anna Kurowska & Michal Myck & Katharina Wrohlich, 2012. "Family and Labor Market Choices: Requirements to Guide Effective Evidence-Based Policy," Discussion Papers of DIW Berlin 1234, DIW Berlin, German Institute for Economic Research.
- Zhiyang Jia & Trine E. Vattø, 2016. "The path of labor supply adjustment. Sources of lagged responses to tax-benefit reforms," Discussion Papers 854, Statistics Norway, Research Department.
More about this item
Keywordsdynamic discrete choice models; intertemporal labor supply behavior; Bayesian estimation;
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
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