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A nonparametric test of the conditional normality of housing demand

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  • Insik Min

Abstract

This study provides a nonparametric test for the parametric conditional distribution in the sample selection model. The nonparametric test statistic proposed by Fan et al. (2006) is applied to the Korean housing demand model. Test results indicate that the conditional normality in the housing expenditure equation is rejected.

Suggested Citation

  • Insik Min, 2007. "A nonparametric test of the conditional normality of housing demand," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 105-109.
    • Handle: RePEc:taf:apeclt:v:14:y:2007:i:2:p:105-109
    DOI: 10.1080/13504850500406956
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    References listed on IDEAS

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    1. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    2. Christofides, Louis N, et al, 2003. "Recent Two-Stage Sample Selection Procedures with an Application to the Gender Wage Gap," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 396-405, July.
    3. Justo Manrique & Kalu Ojah, 2003. "The demand for housing in Spain: an endogenous switching regression analysis," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 323-336.
    4. Lee, Lung-Fei & Trost, Robert P., 1978. "Estimation of some limited dependent variable models with application to housing demand," Journal of Econometrics, Elsevier, vol. 8(3), pages 357-382, December.
    5. Mike Rosser, 1999. "Determinants of graduates' demand for housing," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 139-142.
    6. Insik Min & Inchul Kim, 2004. "A Monte Carlo comparison of parametric and nonparametric quantile regressions," Applied Economics Letters, Taylor & Francis Journals, vol. 11(2), pages 71-74.
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