A Note on Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables

Markus Frölich

No 2126, IZA Discussion Papers from IZA Network @ LISER

Abstract: This note argues that nonparametric regression not only relaxes functional form assumptions vis-a-vis parametric regression, but that it also permits endogenous control variables. To control for selection bias or to make an exclusion restriction in instrumental variables regression valid, additional control variables are often added to a regression. If any of these control variables is endogenous, OLS or 2SLS would be inconsistent and would require further instrumental variables. Nonparametric approaches are still consistent, though. A few examples are examined and it is found that the asymptotic bias of OLS can indeed be very large.

Keywords: nonparametric regression; instrumental variables; endogeneity (search for similar items in EconPapers)
JEL-codes: C13 C14 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2006-05
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Published - published in: International Statistical Review, 2008, 76 (2), 214-227

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Related works:
Working Paper: A Note on Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables (2006)
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