In Agricultural Economics 37 (2007) 201–210, using a counterfactual outcomes framework, Diagne and Demont showed that observed sample technological adoption rate does not consistently estimate the population adoption rate even if the sample is random. Likewise, it is shown that a model of...

The growing popularity of alternative choices to traditional-based public schools—such as public charter/lottery-based schools—has prompted nationwide research. In Anchorage, however, there are few quantitative studies that compare student performance across traditional public...

With a view towards lessening the analytic and computational burden faced by practitioners seeking to correct the standard errors of two-stage estimators, we offer a heretofore unnoticed simplification of the conventional formulation for the most commonly encountered cases in empirical...

The last three years have seen explosive growth in the variety and sophistication of interactive online graphics. These are mostly implemented in the web language JavaScript, with the Data Driven Documents (D3) library being the most popular and flexible at present. Leaflet is a mapping library...

Stata has a variety of flexible commands for graphing in two dimensions; however, it has few options for graphing in three dimensions. The user-written surface command by Adrian Mander, available from SSC, attempts to fill this gap, providing both 3D wire-frame plots and dropline plots. However,...

In 2013 the Mississippi State Legislature passed a law requiring the state to adopt a single combined statewide accountability system for schools and districts; additionally, the law also restricted the State from using some of the methods that were used in the accountability system of the time....

At last year’s Stata conference I presented projects that facilitate the combined use of Stata and Python. One project provides the ability to use Python within Stata via a C plugin. The other project provides a custom Python class that can be used to open, modify, and save Stata data...

Quantile regression techniques are useful in understanding the relationship between explanatory variables and the conditional distribution of the outcome variable, allowing the parameters of interest to vary based on a nonseparable disturbance term. Additional covariates may be necessary (or...

Within drug development, it is crucial to find the right dose that is going to be safe and efficacious; this is often done within early phase II clinical trials. The aim of the dose-finding trial is to understand the relationship between the dose of drug and the potential effect of the drug....

Electronic health records are increasingly used for epidemiological and health service research. However, missing data are often an issue when dealing with electronic records. Up to now, various approaches have been used to overcome these issues, including complete case analysis, last...