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Found 10 papers, 2 papers with code
Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
This representation allows us to introduce an identifying assumption, so-called copula invariance, that restricts the local dependence of the copula with respect to the treatment propensity.
Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
However, the estimator is severely biased when the data's time series dimension $T$ is long due to the large degree of overidentification.
Marital Sorting, Household Inequality and Selection
Using CPS data for 1976 to 2022 we explore how wage inequality has evolved for married couples with both spouses working full time full year, and its impact on household income inequality.
Low-Rank Approximations of Nonseparable Panel Models
We provide estimation methods for nonseparable panel models based on low-rank factor structure approximations.
Hours Worked and the U.S. Distribution of Real Annual Earnings 1976-2019
We examine the impact of annual hours worked on annual earnings by decomposing changes in the real annual earnings distribution into composition, structural and hours effects.
Selection and the Distribution of Female Hourly Wages in the U.S
Changes in the role of selection only appear at the lower quantiles of the wage distribution.
Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK
We develop a distribution regression model under endogenous sample selection.
Shape-Enforcing Operators for Point and Interval Estimators
A common problem in econometrics, statistics, and machine learning is to estimate and make inference on functions that satisfy shape restrictions.
Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India
We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized experiments.
Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes
In both applications, the outcomes of interest are discrete rendering existing inference methods invalid for obtaining uniform confidence bands for quantile and quantile effects functions.
Methodology Econometrics 62F25, 62G15, 62P20
