On Marginal Effects in Semiparametric Censored Regression Models

7 Pages Posted: 25 Apr 2009

See all articles by Bo E. Honoré

Bo E. Honoré

Princeton University - Department of Economics

Date Written: September 2008

Abstract

This note illustrates that the typical parameter, beta, in a censored regression model can be used to calculate an interesting marginal effect even when the errors in the model and the explanatory variables are not independent. The result is relevant for cross sectional models such at the ones considered in Powell (1984), Powell (1986) and Chen and Khan (2000), as well as for panel data models such as the ones in Honore (1992) and Alan and Leth-Petersen (2006), and it applies with fixed as well as with random censoring.

Keywords: Censored Regression, Marginal Effects, Cross Section, Panel Data

JEL Classification: C14, C24, C21, C33

Suggested Citation

Honore, Bo E., On Marginal Effects in Semiparametric Censored Regression Models (September 2008). Available at SSRN: https://ssrn.com/abstract=1394384 or http://dx.doi.org/10.2139/ssrn.1394384

Bo E. Honore (Contact Author)

Princeton University - Department of Economics ( email )

Princeton, NJ 08544-1021
United States

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