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Hidden group patterns in democracy developments: Bayesian inference for group...
We propose a nonparametric Bayesian approach to estimate time-varying grouped patterns of heterogeneity in linear panel data models. Unlike the classical approach in Bonhomme... -
Two applications of wild bootstrap methods to improve inference in cluster‐IV...
Microeconomic data often have within-cluster dependence, which affects standard error estimation and inference. When the number of clusters is small, asymptotic tests can be... -
Mostly harmless simulations? Using Monte Carlo studies for estimator selectio...
We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show...
