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Estimation and specification testing in female labor participation models: parametric and semiparametric methods

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  • Ana Fernandez
  • Juan Rodriquez-Poo

Abstract

Female labor participation models have been usually studied through probit and logit specifications. Little attention has been paid to verify the assumptions that are used in these sort of models, basically distributional assumptions and homoskedasticity. In this paper we apply semiparametirc methods in order to test the previous hypothesis. We also estimate a Spanish female labor participation model using both parametric and semiparametirc approaches. The parametirc model includes fixed and random coefficients probit specification. The estimation procedures are parametric maximum likelihood for both probit and logit models, and semiparametric quasi maximum likelihood following Klein and Spady (1993). The results depend cricially in the assumed model.

Suggested Citation

  • Ana Fernandez & Juan Rodriquez-Poo, 1997. "Estimation and specification testing in female labor participation models: parametric and semiparametric methods," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 229-247.
  • Handle: RePEc:taf:emetrv:v:16:y:1997:i:2:p:229-247
    DOI: 10.1080/07474939708800383
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    Cited by:

    1. Gregory Kordas, 2006. "Smoothed binary regression quantiles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 387-407, April.
    2. Ranjeeta Thomas, 2012. "Conditional Cash Transfers To Improve Education And Health: An Ex Ante Evaluation Of Red De Protección Social, Nicaragua," Health Economics, John Wiley & Sons, Ltd., vol. 21(10), pages 1136-1154, October.
    3. Debaere, Peter & Mostashari, Shalah, 2010. "Do tariffs matter for the extensive margin of international trade? An empirical analysis," Journal of International Economics, Elsevier, vol. 81(2), pages 163-169, July.
    4. Fernández-Sainz, Ana I. & Rodríguez-Póo, Juan M., 2010. "An Empirical Investigation of Parametric and Semiparametric Estimation Methods in Sample Selection Models = Investigación empírica de métodos de estimación paramétricos y semiparamétricos de modelos d," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 10(1), pages 99-120, December.
    5. Ana Fernandez Sainz & Juan Rodriguez-Poo & Inmaculada Villanua Martin, 2002. "Finite sample behavior of two step estimators in selection models," Computational Statistics, Springer, vol. 17(1), pages 1-16, March.
    6. Gregory Kordas, 2006. "Smoothed binary regression quantiles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 387-407.
    7. Ker, Alan P. & Ergun, A. Tolga, 2003. "On The Revelation Of Asymmetric Information Of The Private Insurance Companies In The Us Crop Insurance Program," 2003 Annual meeting, July 27-30, Montreal, Canada 21898, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Ji, Yonggang & Lin, Nan & Zhang, Baoxue, 2012. "Model selection in binary and tobit quantile regression using the Gibbs sampler," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 827-839.
    9. Rodriguez Poo, Juan M. & Sperlich, Stefan & Vieu, Philippe, 2000. "Semiparametric estimation of weak and strong separable models," DES - Working Papers. Statistics and Econometrics. WS 10064, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Fernández, Ana I. & Rodríguez-Póo, Juan M. & Sperlich, Stefan, 1998. "Semiparametric three step estimation methods in labor supply models," SFB 373 Discussion Papers 1998,71, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    11. Anil Kumar, 2006. "Nonparametric conditional density estimation of labour force participation," Applied Economics Letters, Taylor & Francis Journals, vol. 13(13), pages 835-841.
    12. Danilo Coelho & Helena Veiga & R?rt Veszteg, 2005. "Parametric and semiparametric estimation of sample selection models: an empirical application to the female labour force in Portugal," UFAE and IAE Working Papers 636.05, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

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