After reviewing the potential-outcome framework for estimating treatment effects from observational data, I will discuss how to estimate the average treatment effect and the average treatment effect on the treated by the regression-adjustment estimator, the inverse-probability-weighted...

This session introduces the use of the margins command to estimate the partial effects at the mean and the mean of the partial effects. Both the Stata syntax and the underlying statistical methods will be discussed. The presentation will also include some discussion of factor variables.

Unobserved components can parameterize problems of endogeneity in many nonlinear models for cross-sectional and panel data. This talk provides some examples and uses gsem to estimate the parameters.

After reviewing the potential-outcome framework for estimating treatment effects from observational data, this talk discusses how to estimate the average treatment effect and the average treatment effect on the treated using the regression-adjustment estimator, the inverse-probability-weighted...

This session offers an introduction to spatial econometrics using some user-written Stata commands. I will discuss the estimation and interpretation of the parameters in the cross-sectional spatial-autoregressive model. Data management issues pertaining to spatial-weighting matrices used in the...

After proposing a simple theoretical framework to illustrate the importance of third-country effects in empirical studies of the Pollution Haven Hypothesis, we test the model using state-level panel data on inbound US FDI and relative abatement costs. Our analysis reveals that while own state...

In October 2012 HarvardX, through edX, offered its first two online courses. One of these was called PH207X: Health in Numbers. The course covered biostatistics and epidemiology at an introductory level and lasted 12 weeks. 60,000 students later we had exposed more students to those disciplines...

binscatter is a newly released program that produces binned scatterplots, which provide a non-parametric estimate of a conditional expectation function. This presentation will describe the features of binscatter, and explore its versatile applications. Those applications include: observing the...

Many estimation problems focus on classification of cases (into bins) with tools that aim to identify cases using only a small subset of all possible questions. These tools can be used in diagnoses of disease, identification of advanced or failing students using tests, or classification into...