Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…

Redistributing highly effective teachers from low- to high-need schools is an education policy tool that is at the center of several major current policy initiatives. The underlying assumption is that teacher productivity is portable across different schools settings. Using elementary and secondary school data from North Carolina and Florida, this…

The concept of statistical significance is explained, with specific numerical illustrations. (MNS)

Data taken primarily from the Australian Youth Survey were used to model unemployment as a function of personal characteristics, family structure, and neighborhood composition using binomial probit estimation techniques. The cross-sectional model developed indicated that significant neighborhood effects on unemployment outcomes exist in high- and…