Conditional Stochastic Kernel Estimation by Nonparametric Methods
AbstractThis article generalizes the conditional stochastic kernel developed by Quah (1997, 1998) for multiple and more general conditioning schemes using nonparametric conditional density estimation. We utilize this methodology to analyze conditional convergence in income for Brazilian municipalities between 1970 and 1991.
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Bibliographic InfoPaper provided by Insper Working Paper, Insper Instituto de Ensino e Pesquisa in its series Insper Working Papers with number wpe_90.
Date of creation: Oct 2007
Date of revision:
Other versions of this item:
- Poletti Laurini, Márcio & Valls Pereira, Pedro L., 2009. "Conditional stochastic kernel estimation by nonparametric methods," Economics Letters, Elsevier, vol. 105(3), pages 234-238, December.
- NEP-ALL-2007-07-13 (All new papers)
- NEP-GEO-2007-07-13 (Economic Geography)
- NEP-LAM-2007-07-13 (Central & South America)
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- Azariadis, Costas & Drazen, Allan, 1990. "Threshold Externalities in Economic Development," The Quarterly Journal of Economics, MIT Press, vol. 105(2), pages 501-26, May.
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"Twin Peaks: Growth and Convergence in Models of Distribution Dynamics,"
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- Quah, Danny, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEPR Discussion Papers 1355, C.E.P.R. Discussion Papers.
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