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Estimation of an Endogenous Switching Regression Model with Discrete Dependent Variables: Monte-Carlo Analysis and Empirical Application of Three Estimators


  • Kimhi, Ayal


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

  • Kimhi, Ayal, 1995. "Estimation of an Endogenous Switching Regression Model with Discrete Dependent Variables: Monte-Carlo Analysis and Empirical Application of Three Estimators," Working Papers 232677, Hebrew University of Jerusalem, Center for Agricultural Economic Research.
  • Handle: RePEc:ags:huaewp:232677

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    References listed on IDEAS

    1. Ayal Kimhi, 1994. "Quasi Maximum Likelihood Estimation of Multivariate Probit Models: Farm Couples' Labor Participation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 828-835.
    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. J. G. Tokle & Wallace E. Huffman, 1991. "Local Economic Conditions and Wage Labor Decisions of Farm and Rural Nonfarm Couples," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 652-670.
    4. Lopez, Ramon E., 1982. "Applications Of Duality Theory To Agriculture," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 7(02), December.
    5. Chung L. Huang & Robert Raunikar & Sukant Misra, 1991. "The Application and Economic Interpretation of Selectivity Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 496-501.
    6. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    7. Yatchew, Adonis & Griliches, Zvi, 1985. "Specification Error in Probit Models," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 134-139, February.
    8. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    9. Poirier, Dale J. & Ruud, Paul A., 1981. "On the appropriateness of endogenous switching," Journal of Econometrics, Elsevier, vol. 16(2), pages 249-256, June.
    10. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    11. Lee, Lung-Fei, 1979. "Identification and Estimation in Binary Choice Models with Limited (Censored) Dependent Variables," Econometrica, Econometric Society, vol. 47(4), pages 977-996, July.
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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, Foundation for the European Review of Agricultural Economics, vol. 33(2), pages 149-171, June.
    2. Steinbuks, J., 2008. "Financial constraints and firms' investment: results of a natural experiment measuring firm response to power interruption," Cambridge Working Papers in Economics 0844, Faculty of Economics, University of Cambridge.
    3. Fitzenberger, Bernd & Furdas, Marina & Sajons, Christoph, 2016. "End-of-year spending and the long-run employment effects of training programs for the unemployed," Freiburg Discussion Papers on Constitutional Economics 16/08, Walter Eucken Institut e.V..
    4. 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), November.
    5. 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.
    6. 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.

    More about this item


    Agricultural and Food Policy;

    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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