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

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  • Morduch, J.
  • Stern, H.S.

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  • Morduch, J. & Stern, H.S., 1995. "Using Mixture Models to Detect Sex Bias in Health Outcomes in Bangladesh," Papers 513, Harvard - Institute for International Development.
  • Handle: RePEc:fth:harvid:513
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    References listed on IDEAS

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    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    9. Deaton, Angus S, 1989. "Looking for Boy-Girl Discrimination in Household Expenditure Data," World Bank Economic Review, World Bank Group, vol. 3(1), pages 1-15, January.
    10. 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.
    11. 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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    Citations

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    Cited by:

    1. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    2. Deb, Partha & Gallo, William T. & Ayyagari, Padmaja & Fletcher, Jason M. & Sindelar, Jody L., 2011. "The effect of job loss on overweight and drinking," Journal of Health Economics, Elsevier, vol. 30(2), pages 317-327, March.
    3. Marine Carrasco & Jean-Pierre Florens, 2000. "Efficient GMM Estimation Using the Empirical Characteristic Function," Working Papers 2000-33, Center for Research in Economics and Statistics.
    4. David Brasington, 2002. "Differences in the Production of Education Across Regions and Urban and Rural Areas," Regional Studies, Taylor & Francis Journals, vol. 36(2), pages 137-145.
    5. 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.
    6. Laura Zimmermann, 2012. "Reconsidering Gender Bias in Intrahousehold Allocation in India," Journal of Development Studies, Taylor & Francis Journals, vol. 48(1), pages 151-163, September.
    7. Provencher, Bill & Bishop, R.C.Richard C., 2004. "Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 793-810, July.
    8. Conway, Karen Smith & Deb, Partha, 2005. "Is prenatal care really ineffective? Or, is the 'devil' in the distribution?," Journal of Health Economics, Elsevier, vol. 24(3), pages 489-513, May.
    9. Prescott, Edward Simpson & Townsend, Robert M., 2002. "Collective Organizations versus Relative Performance Contracts: Inequality, Risk Sharing, and Moral Hazard," Journal of Economic Theory, Elsevier, vol. 103(2), pages 282-310, April.
    10. Deb, Partha & TRIVEDI, PRAVIN K, 1998. "Moment-based Estimation of Latent Class Models of Event Counts," University of California at San Diego, Economics Working Paper Series qt6r282286, Department of Economics, UC San Diego.
    11. repec:spr:scient:v:77:y:2008:i:3:d:10.1007_s11192-008-1802-8 is not listed on IDEAS
    12. Sonia Bhalotra & Cliff Attfield, 1998. "Intrahousehold resource allocation in rural Pakistan: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 463-480.
    13. Raj Arunachalam & Trevon D. Logan, 2016. "On the heterogeneity of dowry motives," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 135-166, January.
    14. Brutscher, P., 2012. "Self-Disconnection Among Pre-Payment Customers - A Behavioural Analysis," Cambridge Working Papers in Economics 1214, Faculty of Economics, University of Cambridge.
    15. Kenneth A. Baerenklau, 2010. "A Latent Class Approach to Modeling Endogenous Spatial Sorting in Zonal Recreation Demand Models," Land Economics, University of Wisconsin Press, vol. 86(4), pages 800-816.
    16. Antipov, Evgeny & Pokryshevskaya, Elena, 2010. "Accounting for latent classes in movie box office modeling," MPRA Paper 27644, University Library of Munich, Germany.
    17. Pal, Sarmistha, 1999. "An Analysis of Childhood Malnutrition in Rural India: Role of Gender, Income and Other Household Characteristics," World Development, Elsevier, vol. 27(7), pages 1151-1171, July.
    18. Partha Deb & William T. Gallo & Padmaja Ayyagari & Jason M. Fletcher & Jody L. Sindelar, 2009. "Job Loss: Eat, drink and try to be merry?," NBER Working Papers 15122, National Bureau of Economic Research, Inc.
    19. Padmaja Ayyagari & Partha Deb & Jason Fletcher & William T. Gallo & Jody L. Sindelar, 2009. "Sin Taxes: Do Heterogeneous Responses Undercut Their Value?," NBER Working Papers 15124, National Bureau of Economic Research, Inc.
    20. Alfonso Flores-Lagunes & Audrey Light, "undated". "Interpreting Sheepskin Effects in the Returns to Education," Working Papers 22, Princeton University, Woodrow Wilson School of Public and International Affairs, Education Research Section..
    21. Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2004. "Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 657-668.
    22. Diane Dancer & Anu Rammohan & Murray D. Smith, 2008. "Infant mortality and child nutrition in Bangladesh," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1015-1035.
    23. Marine H. Carrasco & Jean-Pierre Florens, 2000. "Estimation of a Mixture via the Empirical Characteristic Function," Econometric Society World Congress 2000 Contributed Papers 0514, Econometric Society.
    24. Partha Deb & Ann M. Holmes, 2000. "Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 475-489.
    25. Chen, Zhuo, 2007. "Development and inequality: Evidence from an endogenous switching regression without regime separation," Economics Letters, Elsevier, vol. 96(2), pages 269-274, August.

    More about this item

    Keywords

    HEALTH; MODELS; SEX; BANGLADESH;

    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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