IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v77y1997i1p259-276.html
   My bibliography  Save this article

Using mixture models to detect sex bias in health outcomes in Bangladesh

Author

Listed:
  • Morduch, Jonathan J.
  • Stern, Hal S.

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:econom:v:77:y:1997:i:1:p:259-276
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304-4076(96)01815-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haddad, Lawrence James & Peña, Christine & Nishida, Chizuru & Quisumbing, Agnes R. & Slack, Alison T., 1996. "Food security and nutrition implications of intrahousehold bias," FCND discussion papers 19, International Food Policy Research Institute (IFPRI).
    2. Ueyama, Mika, 2007. "Income growth and gender bias in childhood mortality in developing countries:," IFPRI discussion papers 739, International Food Policy Research Institute (IFPRI).
    3. Gong, X. & van Soest, A.H.O. & Zhang, P., 2000. "Sexual Bias and Household Consumption : A Semiparametic Analysis of Engel curves in Rural China," Other publications TiSEM 896cf4d1-37e5-490b-9e05-4, Tilburg University, School of Economics and Management.
    4. Pieter Serneels, 2002. "The added worked effect and intra household aspects of unemployment," CSAE Working Paper Series 2002-14, Centre for the Study of African Economies, University of Oxford.
    5. Raj Arunachalam & Trevon 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.
    6. Pudney, Stephen & Shields, Michael A., 1999. "Gender and Racial Discrimination in Pay and Promotion for NHS Nurses," IZA Discussion Papers 85, Institute of Labor Economics (IZA).
    7. Fuwa, Nobuhiko, 2005. "Intrahousehold Analysis Using Household Consumption Data: Would the Potential Benefit of Collecting Individual-Level Consumption Data Justify Its Cost?," MPRA Paper 23689, University Library of Munich, Germany.
    8. 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.
    9. Liang, Che-Yuan, 2012. "Nonparametric structural estimation of labor supply in the presence of censoring," Journal of Public Economics, Elsevier, vol. 96(1), pages 89-103.
    10. Casey B. Mulligan & Yona Rubinstein, 2005. "Selection, Investment, and Women's Relative Wages Since 1975," NBER Working Papers 11159, National Bureau of Economic Research, Inc.
    11. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    12. Farrell, Lisa & Walker, Ian, 1999. "The welfare effects of lotto: evidence from the UK," Journal of Public Economics, Elsevier, vol. 72(1), pages 99-120, April.
    13. Angrist, Joshua D., 1997. "Conditional independence in sample selection models," Economics Letters, Elsevier, vol. 54(2), pages 103-112, February.
    14. Schultz, T. Paul, 1997. "Assessing the productive benefits of nutrition and health: An integrated human capital approach," Journal of Econometrics, Elsevier, vol. 77(1), pages 141-158, March.
    15. Jere R. Behrman & John Hoddinott & John A. Maluccio, & Erica Soler-Hampejsek & Emily L. Behrman & Reynaldo Martorell & Manuel Ramirez-Zea & Aryeh D. Stein, 2006. "What Determines Adult Cognitive Skills? Impacts of Pre-Schooling, Schooling and Post-Schooling Experiences in Guatemala," PIER Working Paper Archive 06-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    17. Damon, Maria & Zivin, Joshua Graff & Thirumurthy, Harsha, 2015. "Health shocks and natural resource management: Evidence from Western Kenya," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 36-52.
    18. Marcel Fafchamps & Agnes R. Quisumbing, 1999. "Human Capital, Productivity, and Labor Allocation in Rural Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 369-406.
    19. J. B. Engberg & T. Kim, "undated". "Person or Place? Parametric and semiparametric estimates of intrametropolitan earnings variation," Institute for Research on Poverty Discussion Papers 1089-96, University of Wisconsin Institute for Research on Poverty.
    20. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions against Direct Evidence on Sharing," Working Papers hal-03432676, HAL.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:econom:v:77:y:1997:i:1:p:259-276. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jeconom .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.