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Probit with heteroscedasticity: an application to Indian poverty analysis

  • Ashok Parikh
  • Kunal Sen

This study argues that in limited dependent variable models, when there is heteroscedasticity, a probit model with a heteroscedastic structure should be estimated. The problem is illustrated using unit record data from the Indian National Sample Survey to analyse the determinants of poverty at household level. It is found that these biases are large even with large number of observations because in the limited dependent variable case, the bias does not vanish asymptotically when the assumption of homoscedasticity breaks down. Both regression coefficients and marginal effects differ widely between probit and hetprobit models in this study.

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Article provided by Taylor & Francis Journals in its journal Applied Economics Letters.

Volume (Year): 13 (2006)
Issue (Month): 11 ()
Pages: 699-707

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Handle: RePEc:taf:apeclt:v:13:y:2006:i:11:p:699-707
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  1. Vani K. Borooah & Sriya Iyer, 2002. "Vidya, Veda, and Varna: The Influence of Religion and Caste on Education in Rural India," ICER Working Papers 32-2002, ICER - International Centre for Economic Research.
  2. Gunewardena, Dileni & Van de Walle, Dominique, 2000. "Sources of ethnic inequality in Vietnam," Policy Research Working Paper Series 2297, The World Bank.
  3. Blundell, Richard & Laisney, Francois & Lechner, Michael, 1993. "Alternative Interpretations of Hours Information in an Econometric Model of Labour Supply," Empirical Economics, Springer, vol. 18(3), pages 393-415.
  4. J.V. Meenakshi & Ranjan Ray, 2000. "Impact of Household Size and Family Composition on Poverty in Rural India," ASARC Working Papers 2000-02, The Australian National University, Australia South Asia Research Centre.
  5. Horowitz, Joel L., 1993. "Semiparametric estimation of a work-trip mode choice model," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 49-70, July.
  6. Mark Harris & Mark Rogers & Anthony Siouclis, 2003. "Modelling firm innovation using panel probit estimators," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 683-686.
  7. J.V. Meenakshi & Ranjan Ray, 1999. "Impact of Household Size, Family Composition and Socio Economic Characteristics on Poverty in Rural India," Working papers 68, Centre for Development Economics, Delhi School of Economics.
  8. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
  9. Dreze, Jean & Srinivasan, P. V., 1997. "Widowhood and poverty in rural India: Some inferences from household survey data," Journal of Development Economics, Elsevier, vol. 54(2), pages 217-234, December.
  10. Ashwini Deshpande, 2000. "Does Caste Still Define Disparity? A Look at Inequality in Kerala, India," American Economic Review, American Economic Association, vol. 90(2), pages 322-325, May.
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