Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...

This paper presents a “Granger Causality” analysis of the relationship between the antitrust enforcement activities of the Department of Justice and economic growth in the U.S. economy from 1891 to 2002. Professor Posner posed the question 35 years ago about whether there was a relationship...

Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...

We present a new Stata command, BMTE (bias-minimizing treatment e ects), which implements two new estimators proposed in Millimet and Tchernis (2012) designed to estimate the effect of treatment when there exists selection on unobserved variables and appropriate exclusion restrictions are...

Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...

Food security and obesity represent two of the most significant public health issues. However, little is known about how these issues are intertwined. Here, we assess the causal relationship between food security during early childhood and relatively long-run measures of child health....