Dummy Endogenous Variables in Weakly Separable Models

By E. Vytlacil, Neşe Yıldız. 2007

127 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6613fa3e8f9a38e3ec888cee0b3cceee140d6819

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In Statistics and Probability

Citations in the corpus

Identification in Nonparametric Simultaneous Equations Models (2008, background): “Vytlacil and Yildiz (2007) studied estimation of average effects in models with weak separability and dummy endogenous variables.”
Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality (2009, methodology): “Therefore, we impute location at 17 to be equal to location at 14 for cohorts born between 1957 and 1962 unless location at 14 is missing, in which case we use location in 1979 for the imputation. For a description of the NLSY sample see BLS (2001). The NLSY79 has an oversample of poor whites which ”
Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments (2007, background): “Vytlacil and Yildiz (2006) and Vytlacil, Santos and Shaikh (2005) restore symmetry in the IV analysis of treatment choice and outcome equations by imposing uniformity on both outcome and choice equations.”
Tighter bounds in triangular systems (2011, methodology): “The primary objective of our paper is to obtain identification results — that are stronger than are currently available in the literature under alternative conditions — for the nonparametric triangular model y = g(x, u),x = h(z, v), (1) where y ∈ Sy ⊂ R, x ∈ Sx ⊂ Rd, z ∈ Sz ⊂ Rdz are observables,…”