Motivation
In an era of large-scale experimentation and rich observational data, the one-size-fits-all paradigm is giving way to individualized decision-making. Whether targeting messages to voters, assigning medical treatments to patients, or recommending products to consumers, practitioners increasingly seek to tailor interventions based on individual characteristics. This shift hinges on understanding how treatment effects vary across individuals, not just whether interventions work on average, but for whom they work best. Read more…
Stata Press is pleased to announce the release of Microeconometrics Using Stata, Second Edition, Volumes I and II, by A. Colin Cameron and Pravin K. Trivedi. This book not only debuted as Kindle’s #1 New Release but also immediately ranked high on Kindle’s competitive best-seller lists in categories such as Statistics, Microeconomics, Econometrics & Statistics, Education Software, Education Statistics, and Mathematical & Statistical. Read more…
Categories: New Books, Resources, Stata Products Tags: applied microeconometrics, books, cameron, causal inference, econometrics, lasso, linear models, longitudinal data, methods and applications, microeconometrics, nonparametric methods, panel data, release, Stata 17, stata press, statistics, teaching, treatment effects, trivedi
teffects ipw uses multinomial logit to estimate the weights needed to estimate the potential-outcome means (POMs) from a multivalued treatment. I show how to estimate the POMs when the weights come from an ordered probit model. Moment conditions define the ordered probit estimator and the subsequent weighted average used to estimate the POMs. I use gmm to obtain consistent standard errors by stacking the ordered-probit moment conditions and the weighted mean moment conditions. Read more…
I illustrate that exact matching on discrete covariates and regression adjustment (RA) with fully interacted discrete covariates perform the same nonparametric estimation. Read more…