IDEAS home Printed from https://ideas.repec.org/p/yor/yorken/01-04.html
   My bibliography  Save this paper

A Panel Data Simultaneous Equation Model with a Dependent Categorical Variable and Selectivity

Author

Listed:
  • Roberto Leon Gonzalez

Abstract

This paper develops a Bayesian MCMC algorithm to estimate a Panel Data Simultaneous Equations model with a dependent categorical variable and selectivity. In contrast with previous Bayesian analysis of selectivity models, the algorithm does not require the observation of some regressors which do not enter into the likelihood function. This makes the algorithm applicable to studies of the labor market where there are typically missing regressors. In addition, the paper provides an scheme to sample the slope parameters using an analytical approximation of the posterior distribution as a proposal density. Estimation with a simulated dataset illustrates the performance of the algorithm.

Suggested Citation

  • Roberto Leon Gonzalez, "undated". "A Panel Data Simultaneous Equation Model with a Dependent Categorical Variable and Selectivity," Discussion Papers 01/04, Department of Economics, University of York.
    • Handle: RePEc:yor:yorken:01/04
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/discussionpapers/2001/0104.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haveman, Robert & Wolfe, Barbara & Kreider, Brent & Stone, Mark, 1994. "Market work, wages, and men's health," Journal of Health Economics, Elsevier, vol. 13(2), pages 163-182, July.
    2. Chib, Siddhartha & Hamilton, Barton H., 2000. "Bayesian analysis of cross-section and clustered data treatment models," Journal of Econometrics, Elsevier, vol. 97(1), pages 25-50, July.
    Full references (including those not matched with items on IDEAS)

    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. Ariun Ishdorj & Mary Kay Crepinsek & Helen H. Jensen, 2013. "Children's Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choices at School and Away from School?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(2), pages 341-359.
    2. Joshua C. C. Chan & Justin L. Tobias, 2015. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 650-674, June.
    3. Veronesi, Marcella, 2007. "Environmental Risk Factors, Health and the Labor Market Response of Married Men and Women in the United States," Working Papers 98552, University of Maryland, Department of Agricultural and Resource Economics.
    4. Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2015. "Health status and the allocation of time: Cross-country evidence from Europe," Economic Modelling, Elsevier, vol. 46(C), pages 188-203.
    5. Sarah Brown & Jennifer Roberts & Karl Taylor, 2010. "Reservation wages, labour market participation and health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 501-529, July.
    6. David Madden & Ian Walker, 1999. "Labour Supply, Health and Caring - Evidence from the UK," Working Papers 199928, School of Economics, University College Dublin.
    7. Théophile Azomahou & Bity Diene & Mbaye Diene & Luc Soete, 2015. "Optimal health investment and preference structure," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 60(3), pages 521-565, November.
    8. Lixin Cai & Guyonne Kalb, 2004. "Health Status and Labour Force Participation: Evidence from the HILDA Data," Melbourne Institute Working Paper Series wp2004n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. M. Angeles Carnero & Blanca Martínez & Rocı´o Sa´nchez‐Mangas, 2012. "Mobbing and workers’ health: empirical analysis for Spain," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(3), pages 322-339, June.
    10. Christopher Bollinger & James P. Ziliak & Kenneth R. Troske, 2011. "Down from the Mountain: Skill Upgrading and Wages in Appalachia," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 819-857.
    11. Andrei A. Sirchenko, 2017. "An endogenous regime-switching model of ordered choice with an application to federal funds rate target," 2017 Papers psi424, Job Market Papers.
    12. Justin Tobias, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 1-40.
    13. Lixin Cai, 2009. "Effects of Health on Wages of Australian Men," The Economic Record, The Economic Society of Australia, vol. 85(270), pages 290-306, September.
    14. Dwyer, Debra Sabatini & Mitchell, Olivia S., 1999. "Health problems as determinants of retirement: Are self-rated measures endogenous?," Journal of Health Economics, Elsevier, vol. 18(2), pages 173-193, April.
    15. Maria Ana Odejar & Kostas Mavromaras & Mandy Ryan, 2004. "Messy Data Modelling in Health Care Contingent Valuation Studies," Econometric Society 2004 North American Summer Meetings 406, Econometric Society.
    16. Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute of Labor Economics (IZA).
    17. Andrén, Daniela & Palmer, Edward, 2001. "The Effect Of Sickness On Earnings," Working Papers in Economics 45, University of Gothenburg, Department of Economics.
    18. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.
    19. Du Juan, 2012. "Formal and Informal Care: An Empirical Bayesian Analysis Using the Two-part Model," Forum for Health Economics & Policy, De Gruyter, vol. 15(1), pages 1-42, November.
    20. Clément, Matthieu & Levasseur, Pierre & Seetahul, Suneha & Piaser, Lucie, 2021. "Does inequality have a silver lining? Municipal income inequality and obesity in Mexico," Social Science & Medicine, Elsevier, vol. 272(C).

    More about this item

    Keywords

    Bayesian; Markov Chain Monte Carlo; Inverted Wishart.;
    All these keywords.

    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:yor:yorken:01/04. 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: Paul Hodgson (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.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.