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Using Mixture Models to Detect Sex Bias in Health Outcomes in Bangladesh

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  • Jonathan J. Morduch
  • Hall S. Stern

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Suggested Citation

  • Jonathan J. Morduch & Hall S. Stern, 1995. "Using Mixture Models to Detect Sex Bias in Health Outcomes in Bangladesh," Harvard Institute of Economic Research Working Papers 1728, Harvard - Institute of Economic Research.
    • Handle: RePEc:fth:harver:1728
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    References listed on IDEAS

    as
    1. Morduch, Jonathan J. & Stern, Hal S., 1997. "Using mixture models to detect sex bias in health outcomes in Bangladesh," Journal of Econometrics, Elsevier, vol. 77(1), pages 259-276, March.
    2. Newey, Whitney K & Powell, James L & Walker, James R, 1990. "Semiparametric Estimation of Selection Models: Some Empirical Results," American Economic Review, American Economic Association, vol. 80(2), pages 324-328, May.
    3. Kiefer, Nicholas M, 1978. "Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model," Econometrica, Econometric Society, vol. 46(2), pages 427-434, March.
    4. Dickens, William T & Lang, Kevin, 1985. "A Test of Dual Labor Market Theory," American Economic Review, American Economic Association, vol. 75(4), pages 792-805, September.
    5. Alok Bhargava, 2006. "Modelling the Health of Filipino Children," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 11, pages 153-168, World Scientific Publishing Co. Pte. Ltd..
    6. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    7. Pitt, Mark M & Rosenzweig, Mark R & Hassan, Md Nazmul, 1990. "Productivity, Health, and Inequality in the Intrahousehold Distribution of Food in Low-Income Countries," American Economic Review, American Economic Association, vol. 80(5), pages 1139-1156, December.
    8. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023, Elsevier.
    9. Ahmad, A. & Morduch, J., 1993. "Identifying Sex Bias in the Allocation of Household Resources: Evidence from Linked Household Surveys from Bangladesh," Harvard Institute of Economic Research Working Papers 1636, Harvard - Institute of Economic Research.
    10. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
    11. Deaton, Angus S, 1989. "Looking for Boy-Girl Discrimination in Household Expenditure Data," The World Bank Economic Review, World Bank, vol. 3(1), pages 1-15, January.
    12. Lee, Lung-Fei & Porter, Robert H, 1984. "Switching Regression Models with Imperfect Sample Separation Information-With an Application on Cartel Stability," Econometrica, Econometric Society, vol. 52(2), pages 391-418, March.
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    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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