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The effects of the gender of children on expenditure patterns in rural China: a semiparametric analysis

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  • Xiaodong Gong
  • Arthur van Soest
  • Ping Zhang

Abstract

We analyse expenditure patterns for rural China, focusing on differences between families with boys and girls. The sample includes more than 5000 nuclear families from 19 Chinese provinces. Following the existing literature, we estimate Engel curves for food and for alcohol, a typical adult good. We use a flexible, partially linear specification and allow for endogeneity of total expenditures. The results are similar to those of other studies, not providing much evidence of gender differentials. We then focus on the decision to send a child to school and on the budget share spent on educational goods. Using both parametric and semiparametric estimates, we find evidence that boys are more often sent to school and that expenditures on a boy that goes to school are larger than for a school‐going girl of the same age. Copyright © 2005 John Wiley & Sons, Ltd.

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  • Xiaodong Gong & Arthur van Soest & Ping Zhang, 2005. "The effects of the gender of children on expenditure patterns in rural China: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 509-527, May.
  • Handle: RePEc:wly:japmet:v:20:y:2005:i:4:p:509-527
    DOI: 10.1002/jae.780
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    1. 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.
    2. Yatchew, A., 1997. "An elementary estimator of the partial linear model," Economics Letters, Elsevier, vol. 57(2), pages 135-143, December.
    3. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    4. Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
    5. Hausman, Jerry A. & Newey, Whitney K. & Ichimura, Hidehiko & Powell, James L., 1991. "Identification and estimation of polynomial errors-in-variables models," Journal of Econometrics, Elsevier, vol. 50(3), pages 273-295, December.
    6. Shenggen Fan & Eric J. Wailes & Gail L. Cramer, 1995. "Household Demand in Rural China: A Two-Stage LES-AIDS Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 54-62.
    7. Jorgenson, Dale W & Lau, Lawrence J & Stoker, Thomas M, 1980. "Welfare Comparison under Exact Aggregation," American Economic Review, American Economic Association, vol. 70(2), pages 268-272, May.
    8. 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.
    9. 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.
    10. Yatchew, A., 1999. "An elementary nonparametric differencing test of equality of regression functions," Economics Letters, Elsevier, vol. 62(3), pages 271-278, March.
    11. Fan, Shenggen & Cramer, Gail & Wailes, Eric, 1994. "Food demand in rural China: evidence from rural household survey," Agricultural Economics, Blackwell, vol. 11(1), pages 61-69, September.
    12. Atkinson, A B & Gomulka, J & Stern, N H, 1990. "Spending on Alcohol: Evidence from the Family Expenditure Survey 1970-1983," Economic Journal, Royal Economic Society, vol. 100(402), pages 808-827, September.
    13. Han, Aaron K., 1987. "Non-parametric analysis of a generalized regression model : The maximum rank correlation estimator," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 303-316, July.
    14. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
    15. Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
    16. Subramaniam, Ramesh, 1996. "Gender-Bias in India: The Importance of Household Fixed-Effects," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 280-299, April.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    18. Ichimura, H., 1991. "Semiparametric Least Squares (sls) and Weighted SLS Estimation of Single- Index Models," Papers 264, Minnesota - Center for Economic Research.
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