On Marginal Effects in Semiparametric Censored Regression Models
7 Pages Posted: 25 Apr 2009
Date Written: September 2008
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: Suggested Citation
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