IDEAS home Printed from https://ideas.repec.org/p/fth/cemfdt/9706.html
   My bibliography  Save this paper

Autoregressive Models with Sample Selectivity for Panel Data

Author

Listed:
  • Arellano, M.
  • Bover, O.
  • Labeaga, J.M.

Abstract

The purpose of this paper is to formulate procedures for the analysis of the time series behaviour of micro panel data subject to censoring. We assume an autoregressive model with random effects for a latent variable which is only partly observed due to a selection mechanism. Our methods are based on the observation that the subsamples which only include individuals without censored past observations are exogenously selected for the purpose conditional on its past. We apply these methods to analyze the dynamics of female labour supply and wages using PSID data.

Suggested Citation

  • Arellano, M. & Bover, O. & Labeaga, J.M., 1997. "Autoregressive Models with Sample Selectivity for Panel Data," Papers 9706, Centro de Estudios Monetarios Y Financieros-.
    • Handle: RePEc:fth:cemfdt:9706
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    2. José Labeaga & Xisco Oliver & Amedeo Spadaro, 2008. "Discrete choice models of labour supply, behavioural microsimulation and the Spanish tax reforms," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(3), pages 247-273, September.
    3. Lechner, Michael, 1993. "The dynamics of self-employment in East Germany: an empirical analysis using panel data and allowing for state dependence and endogenous attrition," ZEW Discussion Papers 93-24, ZEW - Leibniz Centre for European Economic Research.
    4. Chrysanthou, Georgios Marios, 2008. "Estimating union wage effects in Great Britain during 1991-2003," UC3M Working papers. Economics we082214, Universidad Carlos III de Madrid. Departamento de Economía.
    5. Leandro M. Magnusson, 2010. "Inference in limited dependent variable models robust to weak identification," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 56-79, October.
    6. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    7. Vella, Francis & Verbeek, Marno, 1999. "Two-step estimation of panel data models with censored endogenous variables and selection bias," Journal of Econometrics, Elsevier, vol. 90(2), pages 239-263, June.
    8. Sergi Jiménez-Martín & José María Labeaga, 2016. "Monte Carlo evidence on the estimation of AR(1) panel data sample selection models," Working Papers 2016-01, FEDEA.
    9. Graciela Sanromán, 2003. "Vivienda y Fiscalidad en España: un análisis empírico," Documentos de Trabajo (working papers) 0803, Department of Economics - dECON.
    10. Majid M. Al-Sadoon & Sergi Jiménez-Martín & José M Labeaga, 2019. "Simple Methods for Consistent Estimation of Dynamic Panel Data Sample Selection Models," Working Papers 1069, Barcelona School of Economics.
    11. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2018. "Heterogeneous credit union production technologies with endogenous switching and correlated effects," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1095-1119, November.
    12. Alonso-Borrego, César & Forcadell, Francisco Javier, 2007. "Corporate diversification and R&D intensity dynamics," UC3M Working papers. Economics we078249, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Jose M. Labeaga, 1993. "Individual behaviour and tobacco consumption: A panel data approach," Health Economics, John Wiley & Sons, Ltd., vol. 2(2), pages 103-112, July.
    14. Sébastien Laurent, 2001. "Capital humain, emploi et salaire en Belgique et dans ses régions," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(1), pages 25-36.
    15. Laura Crespo, 2007. "The Role Of Wage Differences And Individual Labour Supply On Male Earnings Inequality: Empirical Evidence From Spain," Working Papers. Serie EC 2007-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    16. Labeaga, Jose M., 1999. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco," Journal of Econometrics, Elsevier, vol. 93(1), pages 49-72, November.
    17. David Pacini & Frank Windmeijer, 2015. "Moment Conditions for AR(1) Panel Data Models with Missing Outcomes," Bristol Economics Discussion Papers 15/660, School of Economics, University of Bristol, UK.
    18. Akay, Alpaslan, 2007. "Monte Carlo Investigation of the Initial Values Problem in Censored Dynamic Random-Effects Panel Data Models," Working Papers in Economics 278, University of Gothenburg, Department of Economics.
    19. Akay, Alpaslan, 2007. "Dynamics of Employment- and Earnings-Assimilation of First-Generation Immigrant Men in Sweden, 1990-2000," Working Papers in Economics 279, University of Gothenburg, Department of Economics.

    More about this item

    Keywords

    SAMPLING ; LABOUR SUPPLY ; WAGES ; MODELS;
    All these keywords.

    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:fth:cemfdt:9706. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/cemfies.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.