Establishes nonparametric identification of conditional quantile coefficients in a triangular system with endogeneity and additive measurement error, then proposes a consistent two-step sieve ML estimator using generated control variables and copula weights.
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Endogenous Quantile Regression with Measurement Error in Dependent Variable
Establishes nonparametric identification of conditional quantile coefficients in a triangular system with endogeneity and additive measurement error, then proposes a consistent two-step sieve ML estimator using generated control variables and copula weights.