IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/9323.html
   My bibliography  Save this paper

Combining panel data and macro information: an application to the estimation of a participation model

Author

Listed:
  • Laisney, François
  • Lechner, Michael

Abstract

When studying particular subgroups of a population, like for instance lone parents, the econometrician typically has few observations at hand. In such a situation, it is vital to take advantage of any valid complementary information that may be available. In this paper we illustrate, for the estimation of a participation model for lone mothers on data from the German Socio-Economic Panel 1984-1990, the relative benefits derived from using the panel structure of the data and from including macro information in the form of extra moments, as proposed by Imbens and Lancaster. The efficiency gains we find amount to having up to six times as many observations, 'and are shared almost equally between using the panel structure optimally and including macro information.

Suggested Citation

  • Laisney, François & Lechner, Michael, 1993. "Combining panel data and macro information: an application to the estimation of a participation model," ZEW Discussion Papers 93-23, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:9323
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/29383/1/257109072.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. 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.
    3. Manuel Arellano & Costas Meghir, 1992. "Female Labour Supply and On-the-Job Search: An Empirical Model Estimated Using Complementary Data Sets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 537-559.
    4. Hausman, Jerry A, 1985. "The Econometrics of Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 53(6), pages 1255-1282, November.
    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. Berg, Gerard J. van den & Klaauw, Bas van der, 1998. "Combining micro and macro unemployment data," Serie Research Memoranda 0041, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. van den Berg, Gerard J. & van der Klaauw, Bas, 2001. "Combining micro and macro unemployment duration data," Journal of Econometrics, Elsevier, vol. 102(2), pages 271-309, June.

    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. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    2. Sanz Labrador, Ismael & Sanz-Sanz, José Félix, 2013. "Política fiscal y crecimiento económico: consideraciones microeconómicas y relaciones macroeconómicas," Macroeconomía del Desarrollo 5367, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. 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.
    4. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    5. Inkmann, Joachim, 1997. "Circumventing multiple integration: A comparison of GMM and SML estimators for the panel probit model," Discussion Papers, Series II 339, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    6. Thomas F. Crossley & Peter Levell & Stavros Poupakis, 2022. "Regression with an imputed dependent variable," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1277-1294, November.
    7. Guell, Maia & Hu, Luojia, 2006. "Estimating the probability of leaving unemployment using uncompleted spells from repeated cross-section data," Journal of Econometrics, Elsevier, vol. 133(1), pages 307-341, July.
    8. Breitung, Jörg & Lechner, Michael, 1998. "Alternative GMM methods for nonlinear panel data models," SFB 373 Discussion Papers 1998,81, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Andrei Semenov, 2004. "Asset Pricing with Idiosyncratic Consumption Risk and Limited Participation," Working Papers 2004_1, York University, Department of Economics.
    10. Bertschek, Irene & Lechner, Michael, 1998. "Convenient estimators for the panel probit model," Journal of Econometrics, Elsevier, vol. 87(2), pages 329-371, September.
    11. 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.
    12. Jorge Gonzalez Chapela, 2011. "Recreation, home production, and intertemporal substitution of female labor supply: evidence on the intensive margin," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(3), pages 532-548, July.
    13. Richard Blundell, 1993. "Offre de travail et fiscalité : une revue de la littérature," Économie et Prévision, Programme National Persée, vol. 108(2), pages 1-18.
    14. Inkmann, Joachim, 2000. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," Journal of Econometrics, Elsevier, vol. 97(2), pages 227-259, August.
    15. Denis Heng Yan Leung & Ken Yamada & Biao Zhang, 2015. "Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 155-179, March.
    16. Olivier Bargain & Andreas Peichl, 2016. "Own-wage labor supply elasticities: variation across time and estimation methods," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-31, December.
    17. Cochrane, Susan & Guilkey, David K., 1992. "How access to contraception affects fertility and contraceptive use in Tunisia," Policy Research Working Paper Series 841, The World Bank.
    18. Kan, Kamhon & Tsai, Wei-Der, 2005. "Parenting practices and children's education outcomes," Economics of Education Review, Elsevier, vol. 24(1), pages 29-43, February.
    19. Wei, K. C. John & Chiang, Raymond, 2004. "A GMM approach for estimation of volatility and regression models when daily prices are subject to price limits," Pacific-Basin Finance Journal, Elsevier, vol. 12(4), pages 445-461, September.
    20. Maia Guell & Luojia Hu, 2003. "Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-section Data," Working Papers 854, Princeton University, Department of Economics, Industrial Relations Section..

    More about this item

    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:zbw:zewdip:9323. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.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.