IDEAS home Printed from https://ideas.repec.org/p/nbr/nberte/0146.html

A Two-Stage Estimator for Probit Models with Structural Group Effects

Author

Listed:
  • George J. Borjas
  • Glenn T. Sueyoshi

Abstract

This paper outlines a two-stage technique for estimation and inference in probit models with structural group effects. The structural group specification belongs to a broader class of random components models. In particular, individuals in a given group share a common component in the specification of the conditional mean of a latent variable. For a number of computational reasons, existing random-effects models are impractical for estimation and inference in this type of problem. Our two-stage estimator provides an easily estimable alternative to the random effect specification. In addition, we conduct a Monte Carlo simulation comparing the performance of alternative estimators, and find that the two-stage estimator is superior -- both in terms of estimation and inference -- to traditional estimators.

Suggested Citation

  • George J. Borjas & Glenn T. Sueyoshi, 1993. "A Two-Stage Estimator for Probit Models with Structural Group Effects," NBER Technical Working Papers 0146, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberte:0146
    Note: LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/t0146.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robinson, Peter M, 1982. "On the Asymptotic Properties of Estimators of Models Containing Limited Dependent Variables," Econometrica, Econometric Society, vol. 50(1), pages 27-41, January.
    2. George J. Borjas, 2021. "Ethnic Capital And Intergenerational Mobility," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 6, pages 107-134, World Scientific Publishing Co. Pte. Ltd..
    3. Avery, Robert B & Hansen, Lars Peter & Hotz, V Joseph, 1983. "Multiperiod Probit Models and Orthogonality Condition Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 21-35, February.
    4. James J. Heckman & Robert J. Willis, 1976. "Estimation of a Stochastic Model of Reproduction: An Econometric Approach," NBER Chapters, in: Household Production and Consumption, pages 99-146, National Bureau of Economic Research, Inc.
    5. Amemiya, Takeshi, 1978. "A Note on a Random Coefficients Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 793-796, October.
    6. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    8. repec:bla:scandj:v:92:y:1990:i:2:p:215-35 is not listed on IDEAS
    9. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    10. George J. Borjas, 2021. "Self-Selection and the Earnings of Immigrants," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 4, pages 69-91, World Scientific Publishing Co. Pte. Ltd..
    11. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    12. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    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. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    2. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    3. Manuel Arellano & Olympia Bover, 1990. "La econometría de datos de panel," Investigaciones Economicas, Fundación SEPI, vol. 14(1), pages 3-45, January.
    4. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    5. Bertschek, Irene & Lechner, Michael, 1998. "Convenient estimators for the panel probit model," Journal of Econometrics, Elsevier, vol. 87(2), pages 329-371, September.
    6. Sheahan, Megan & Black, Roy & Jayne, T.S., 2013. "Are Kenyan farmers under-utilizing fertilizer? Implications for input intensification strategies and research," Food Policy, Elsevier, vol. 41(C), pages 39-52.
    7. Sheahan, Megan & Black, Roy & Jayne, Thomas S., 2012. "Are Farmers Under-Utilizing Fertilizer? Evidence from Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126739, International Association of Agricultural Economists.
    8. 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, IZA Network @ LISER.
    9. Jörg Breitung & Michael Lechner, 1996. "Estimation de modèles non linéaires sur données de panel par la méthode des moments généralisés," Économie et Prévision, Programme National Persée, vol. 126(5), pages 191-203.
    10. Ken Clark & Nikolaos C. Kanellopoulos, 2009. "Low Pay Persistence in European Countries," SOEPpapers on Multidisciplinary Panel Data Research 207, DIW Berlin, The German Socio-Economic Panel (SOEP).
    11. Jerry A. Hausman & Bart D. Ostro & David A. Wise, 1984. "Air Pollution and Lost Work," NBER Working Papers 1263, National Bureau of Economic Research, Inc.
    12. Bredtmann, Julia & Otten, Sebastian, 2013. "The Role of Source- and Host-Country Characteristics in Female Immigrant Labor Supply," MPRA Paper 44544, University Library of Munich, Germany.
    13. Karkinsky, Tom & Riedel, Nadine, 2012. "Corporate taxation and the choice of patent location within multinational firms," Journal of International Economics, Elsevier, vol. 88(1), pages 176-185.
    14. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2017. "Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments," Economics & Human Biology, Elsevier, vol. 25(C), pages 85-98.
    15. Hämäläinen, Kari, 2003. "Education and Unemployment: State Dependence in Unemployment Among Young People in the 1990s," Discussion Papers 312, VATT Institute for Economic Research.
    16. Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
    17. Stéfan Lollivier & Pascale Pollet, 2003. "Impact de la formation initiale sur les rémunérations au cours de la vie active," Revue d'économie politique, Dalloz, vol. 113(6), pages 801-827.
    18. Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
    19. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    20. Panos, Sousounis, 2008. "State dependence in work-related training participation among British employees: A comparison of different random effects probit estimators," MPRA Paper 14261, University Library of Munich, Germany, revised Mar 2009.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:nbr:nberte:0146. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.