IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp6544.html
   My bibliography  Save this paper

Bayesian Procedures as a Numerical Tool for the Estimation of Dynamic Discrete Choice Models

Author

Listed:
  • Haan, Peter

    (DIW Berlin)

  • Kemptner, Daniel

    (DIW Berlin)

  • Uhlendorff, Arne

    (CREST)

Abstract

Dynamic discrete choice models usually require a general specification of unobserved heterogeneity. In this paper, we apply Bayesian procedures as a numerical tool for the estimation of a female labor supply model based on a sample size which is typical for common household panels. We provide two important results for the practitioner: First, for a specification with a multivariate normal distribution for the unobserved heterogeneity, the Bayesian MCMC estimator yields almost identical results as a classical Maximum Simulated Likelihood (MSL) estimator. Second, we show that when imposing distributional assumptions which are consistent with economic theory, e.g. log-normally distributed consumption preferences, the Bayesian method performs well and provides reasonable estimates, while the MSL estimator does not converge. These results indicate that Bayesian procedures can be a beneficial tool for the estimation of dynamic discrete choice models.

Suggested Citation

  • Haan, Peter & Kemptner, Daniel & Uhlendorff, Arne, 2012. "Bayesian Procedures as a Numerical Tool for the Estimation of Dynamic Discrete Choice Models," IZA Discussion Papers 6544, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp6544
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp6544.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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 of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2015. "Bayesian procedures as a numerical tool for the estimation of an intertemporal discrete choice model," Empirical Economics, Springer, vol. 49(3), pages 1123-1141, November.

    More about this item

    Keywords

    dynamic discrete choice models; intertemporal labor supply behavior; Bayesian estimation;
    All these keywords.

    JEL classification:

    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp6544. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.