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Recent Two-Stage Sample Selection Procedures with an Application to the Gender Wage Gap

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  • Christofides, Louis N, et al

Abstract

Recently developed two-stage estimation methods of sample selection models are used, in the context of data from the 1989 Labor Market Activity Survey, to examine labor supply decisions and wage outcomes for employed men and women. Recent hypothesis test procedures are used to test for no sample selection and to test for a parametric against a semiparametric selection-correction procedure. We conclude that selection is indeed an issue for the sample at hand and that the semiparametric specification is appropriate. We also present the standard decomposition of the gender wage gap into its explained and unexplained portions.

Suggested Citation

  • Christofides, Louis N, et al, 2003. "Recent Two-Stage Sample Selection Procedures with an Application to the Gender Wage Gap," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 396-405, July.
  • Handle: RePEc:bes:jnlbes:v:21:y:2003:i:3:p:396-405
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    Citations

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    Cited by:

    1. Gail Pacheco & Chao Li & Bill Cochrane, 2017. "Empirical evidence of the gender pay gap in NZ," Working Papers 2017-05, Auckland University of Technology, Department of Economics.
    2. Enrico Santarelli & Hien Thu Tran, 2016. "Diversification strategies and firm performance in Vietnam," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(1), pages 31-68, January.
    3. Louis N. Christofides, 2000. "Social assistance and labour supply," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 33(3), pages 715-741, August.
    4. Mealli, Fabrizia & Pacini, Barbara, 2008. "Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 507-516, December.
    5. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    6. Aurora Galego & João Pereira, 2010. "Evidence On Gender Wage Discrimination In Portugal: Parametric And Semi‐Parametric Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 651-666, December.
    7. Insik Min & Sheng jang Sheu & Zijun Wang, 2003. "A Monte Carlo Comparison of Various Semiparametric Type-3 Tobit Estimators," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 125-136, May.
    8. Chunlai Chen & Yu Sheng & Christopher Findlay, 2013. "Export Spillovers of FDI on China's Domestic Firms," Review of International Economics, Wiley Blackwell, vol. 21(5), pages 841-856, November.
    9. Robert ALEXANDER & Murat GENC & Mohammad JAFORULLAH, 2010. "Gender and Ethnicity in the New Zealand Labour Market," EcoMod2004 330600008, EcoMod.
    10. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    11. E. Santarelli & H. T. Tran, 2013. "Diversification Strategies and Firm Performance: A Sample Selection Approach," Working Papers wp896, Dipartimento Scienze Economiche, Universita' di Bologna.
    12. Insik Min, 2007. "A nonparametric test of the conditional normality of housing demand," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 105-109.
    13. Rebekka Christopoulou & Vassilis Monastiriotis, 2014. "The Greek Public Sector Wage Premium before the Crisis: Size, Selection and Relative Valuation of Characteristics," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 579-602, September.
    14. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
    15. Dominique Meurs & Sophie Ponthieux, 2006. "L'écart des salaires entre les femmes et les hommes peut-il encore baisser ?," Économie et Statistique, Programme National Persée, vol. 398(1), pages 99-129.

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