Endogenous selection or treatment model estimation

By Arthur Lewbel. 2007

119 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d833991a0a2e1f75e463a00d3d3c85368560bde6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Statistics and Probability

Citations in the corpus

Unequal Pay or Unequal Employment? A Cross‐Country Analysis of Gender Gaps (2006, unknown): “Finally, Beblo et al. show selection-corrected wage gaps for Germany using both the Heck-man (1979) and the Lewbel (2007) two-stage selection models.”
A simple ordered data estimator for inverse density weighted expectations (2007, background): “Theorem 1 and Corollary 1 in Lewbel (2002) show that, if a is finite and x has a sufficiently large support,”
Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing (2014, methodology): “5 Sufficient conditions for identification of m and θ0 in this model, which is possible even without an exclusion restriction like that assumed by Klein, Shen and Vella (2012) and others, are provided by Escanciano, Jacho-Chávez and Lewbel (2012), who also propose a semiparametric least squares esti”
Selection correction in panel data models: An application to the estimation of females' wage equations (2007, unknown): “16See Lewbel (2003), Honore and Lewbel (2002) and Kyriazidou (2001) for more general discussions of nonexogenous explanatory variables in binary/selection models.”
Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data (2008, background): “A related example is Lewbel (2006) who studies the ability to obtain a university degree using the cost of attending a local public college (relative to local unskilled wages) as the exogenous regressor v.”
A Simple Estimator for Binary Choice Models with Endogenous Regressors (2015, methodology): “Lewbel (2000, 2007a) found in simulations that special regressor estimation tended to perform well in moderate size samples when the variance of V is as big or bigger than the variance of X ′β + ε, and otherwise that finite sample biases decline rather slowly as the sample size is increased.”
A New Instrumental Method for Dealing with Endogenous Selection (2010, background): “nally, Lewbel (2007) obtains identification under the existence of a special regressor that”
Identification and information in monotone binary models (2007, methodology): “Recent empirical applications of this estimation method include Anton et al. (2001), Lewbel et al. (2001), Maurin (2002), Lewbel (2003).”