This paper studies the estimation of quantile regression for fractional data, focusing on the case where there are mass-points at zero or/and one. More generally, we propose a simple strategy for the estimation of the conditional quantiles of data from mixed distributions, which combines standard results on the estimation of censored and Box-Cox quantile regressions. The implementation of the proposed method is illustrated using a well-known dataset.
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Paper provided by University of Essex, Department of Economics in its series Economics Discussion Papers with number
656.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Koenker, Roger W & Bassett, Gilbert, Jr, 1978.
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Econometrica,
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Rafael La Porta & Florencio López-de-Silanes & Guillermo Zamarripa, 2003.
"Related Lending,"
The Quarterly Journal of Economics,
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[Downloadable!] (restricted)
Other versions:
Rafael La Porta & Florencio Lopez-de-Silane & Guillermo Zamarripa, 2002.
"Related Lending,"
NBER Working Papers
8848, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Jose A. F. Machado & J. M. C. Santos Silva, 2002.
"Quantiles for counts,"
CeMMAP working papers
CWP22/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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