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Impact of socio-economic factors and social affiliation on living standards: a quantile regression approach

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  • Renuka Mahadevan
  • Sandy Suardi

Abstract

The influence of socio-economic factors and social affiliation on living standards is shown to be contingent on the living standard status of the household. This new result casts doubt on studies that use conditional mean regression analysis and the Oaxaca--Blinder decomposition analysis to study the impact of ‘characteristics’ and ‘structural’ components in areas such as poverty, health and labour market outcomes.

Suggested Citation

  • Renuka Mahadevan & Sandy Suardi, 2012. "Impact of socio-economic factors and social affiliation on living standards: a quantile regression approach," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1231-1236, September.
    • Handle: RePEc:taf:apeclt:v:19:y:2012:i:13:p:1231-1236
    DOI: 10.1080/13504851.2011.619478
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    References listed on IDEAS

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    1. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Jayachandran N. Variyam & James Blaylock & David Smallwood, 2002. "Characterizing the Distribution of Macronutrient Intake among U.S. Adults: A Quantile Regression Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 454-466.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Luke, Nancy & Munshi, Kaivan, 2007. "Social affiliation and the demand for health services: Caste and child health in South India," Journal of Development Economics, Elsevier, vol. 83(2), pages 256-279, July.
    6. Bhalotra, Sonia & Valente, Christine & van Soest, Arthur, 2010. "The puzzle of Muslim advantage in child survival in India," Journal of Health Economics, Elsevier, vol. 29(2), pages 191-204, March.
    7. Kijima, Yoko, 2006. "Caste and Tribe Inequality: Evidence from India, 1983-1999," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 369-404, January.
    8. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    9. Borooah, Vani & Dubey, Amaresh & Iyer, Sriya, 2007. "The Effectiveness of Jobs Reservation: Caste, Religion, and Economic Status in India," MPRA Paper 19421, University Library of Munich, Germany.
    10. Ito, Takahiro, 2009. "Caste discrimination and transaction costs in the labor market: Evidence from rural North India," Journal of Development Economics, Elsevier, vol. 88(2), pages 292-300, March.
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