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10/10/2022
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
We propose principled prediction intervals to quantify the uncertainty o...
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02/12/2022
scpi: Uncertainty Quantification for Synthetic Control Estimators
The synthetic control method offers a way to estimate the effect of an a...
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01/16/2022
Uniform Inference for Kernel Density Estimators with Dyadic Data
Dyadic data is often encountered when quantities of interest are associa...
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08/31/2020
Causal Inference in Possibly Nonlinear Factor Models
This paper develops a general causal inference method for treatment effe...
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12/15/2019
Prediction Intervals for Synthetic Control Methods
Uncertainty quantification is a fundamental problem in the analysis and ...
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06/01/2019
lspartition: Partitioning-Based Least Squares Regression
Nonparametric partitioning-based least squares regression is an importan...
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02/25/2019
Binscatter Regressions
We introduce the Stata (and R) package Binsreg, which implements the bin...
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02/25/2019
On Binscatter
Binscatter is very popular in applied microeconomics. It provides a flex...
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04/13/2018