Linear Quantile Regression and Endogeneity Correction

Christophe Muller

Biostatistics and Biometrics Open Access Journal, 2019, vol. 9, issue 5, 123-128

Abstract: The main two methods of endogeneity correction for linear quantile regressions with their advantages and drawbacks are reviewed and compared. Then, we discuss opportunities of alleviating the constant effect restriction of the fitted-value approach by relaxing identification conditions.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Linear Quantile Regression and Endogeneity Correction (2019)
Working Paper: Linear Quantile Regression and Endogeneity Correction (2019)
Working Paper: Linear Quantile Regression and Endogeneity Correction (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:9:y:2019:i:5:p:123-128

DOI: 10.19080/BBOAJ.2019.09.555774

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