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Estimation of an endogenous switching regression model with discrete dependent variables: Monte-Carlo analysis and empirical application of three estimators

Author

Listed:
  • Ayal Kimhi

    (Department of Agricultural Economics and Management, Hebrew University, P.O. Box 12, Rehovot 76100, Israel)

Abstract

The performances of alternative two-stage estimators for the endogenous switching regression model with discrete dependent variables are compared, with regard to their usefulness as starting values for maximum likelihood estimation. This is especially important in the presence of large correlation coefficients, in which case maximum likelihood procedures have difficulties to converge. Monte-Carlo simulations indicate that an estimator that corrects for conditional heteroskedasticity of the residuals is superior in almost all instances, and especially when maximum likelihood is problematic. This result is also obtained in an empirical example in which off-farm work participation equations of farm women are conditional on farm work participation status.

Suggested Citation

  • Ayal Kimhi, 1999. "Estimation of an endogenous switching regression model with discrete dependent variables: Monte-Carlo analysis and empirical application of three estimators," Empirical Economics, Springer, vol. 24(2), pages 225-241.
    • Handle: RePEc:spr:empeco:v:24:y:1999:i:2:p:225-241
    Note: received: July 1995/final version received: March 1998
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    Cited by:

    1. Catherine Benjamin & Ayal Kimhi, 2006. "Farm work, off-farm work, and hired farm labour: estimating a discrete-choice model of French farm couples' labour decisions," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(2), pages 149-171, June.
    2. Blomquist, Glenn C. & Dickie, Mark & O'Conor, Richard M., 2011. "Willingness to pay for improving fatality risks and asthma symptoms: Values for children and adults of all ages," Resource and Energy Economics, Elsevier, vol. 33(2), pages 410-425, May.
    3. Fitzenberger, Bernd & Furdas, Marina & Sajons, Christoph, 2016. "End-of-year spending and the long-run employment effects of training programs for the unemployed," ZEW Discussion Papers 16-084, ZEW - Leibniz Centre for European Economic Research.
    4. Steinbuks Jevgenijs, 2012. "Firms' Investment under Financial and Infrastructure Constraints: Evidence from In-House Generation in Sub-Saharan Africa," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-34, October.
    5. Lorenzo Cappellari, 2002. "Do the `working poor' stay poor? An analysis of low pay transitions in Italy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 87-110, May.
    6. Jevgenijs Steinbuks, 2008. "Financial constraints and firms' investment: results of a natural experiment measuring firm response to power interruption," Working Papers EPRG 0823, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Li, Jinghan & Zepeda, Lydia & Gould, Brian W., 2007. "The Demand for Organic Food in the U.S.: An Empirical Assessment," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(3), pages 1-16.
    8. Phiri, Isaac, 2020. "The effect of access to finance on commercialisation of smallholder maize farmers in Eswatini," Research Theses 334755, Collaborative Masters Program in Agricultural and Applied Economics.
    9. Machiel van Dijk & Michiel Bijlsma & Marc Pomp, 2006. "The price of free advice," CPB Discussion Paper 66, CPB Netherlands Bureau for Economic Policy Analysis.

    More about this item

    Keywords

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    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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