Nonlinear and nonseparable structural functions in regression discontinuity designs with a continuous treatment

Cites Work

Regression discontinuity designs: a guide to practice
Manipulation of the running variable in the regression discontinuity design: a density test
Oracle inequalities in empirical risk minimization and sparse recovery problems. École d'Été de Probabilités de Saint-Flour XXXVIII-2008.
U-processes: Rates of convergence
Nonlinear log-periodogram regression for perturbed fractional processes
Laws of the iterated logarithm for censored data
Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
Weak convergence and empirical processes. With applications to statistics
Non-separable models with high-dimensional data
Nonparametric estimation and inference on conditional quantile processes
Minimum distance from independence estimation of nonseparable instrumental variables models
WHAT DO QUANTILE REGRESSIONS IDENTIFY FOR GENERAL STRUCTURAL FUNCTIONS?
Identification and estimation of local average derivatives in non-separable models without monotonicity
Quantile and Probability Curves Without Crossing
Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
Local Linear Quantile Regression
Optimal Bandwidth Choice for the Regression Discontinuity Estimator
Identification of Nonseparable Models Using Instruments With Small Support
Identification of Nonseparable Triangular Models With Discrete Instruments
Inference on Causal Effects in a Generalized Regression Kink Design
Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs
High-Dimensional Statistics
Optimal Inference in a Class of Regression Models
PARTIAL IDENTIFICATION OF NONSEPARABLE MODELS USING BINARY INSTRUMENTS
Simple and honest confidence intervals in nonparametric regression
Regression Discontinuity Designs
Simple Local Polynomial Density Estimators
An IV Model of Quantile Treatment Effects
Identification of Marginal Effects in Nonseparable Models Without Monotonicity
Nonparametric Estimation of Nonadditive Random Functions
Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness
On consistency of kernel density estimators for randomly censored data: Rates holding uniformly over adaptive intervals
Regression Discontinuity Designs With a Continuous Treatment
Uniform convergence results for the local linear regression estimation of the conditional distribution

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