This paper introduces a Stata implementation of Coarsened Exact Matching (CEM), a new method for improving the estimation of causal effects by reducing imbalance in covariates between treated and control groups. CEM is faster, easier to use and understand, requires fewer assumptions, more easily automated, and possesses more attractive statistical properties for many applications than existing ...

The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller (2012) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can...

Editor Associate Editors H. Joseph Newton Francis X. Diebold, University of Pennsylvania Department of Statistics Joanne M. Garrett, University of North Carolina Texas A & M University Marcello Pagano, Harvard School of Public Health College Station, Texas 77843 James L. Powell, UC Berkeley and Princeton University 409-845-3142 J. Patrick Royston, Imperial College School of Medicine 409-845-314...

Due: Wednesday, April 20, 2016 – 7 pm Dropbox Outside Stata G5 Collaboration policy: collaboration is strongly encouraged. However, remember that 1. You must write up your own solutions, independently. 2. You must record the name of every collaborator. 3. You must actually participate in solving all the problems. This is difficult in very large groups, so you should keep your collaboration grou...

Applied empirical research in economics and finance has traditionally involved the use of two types of high-level software: statistical/econometric packages, such as TSP, SAS, RATS or eViews, and matrix languages, such as MATLAB, GAUSS, S-Plus or Ox. Each type has its strengths and weaknesses. In this essay, we describe the middle ground posed by the statistical package and its programming lang...

Abstract. A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more unusual displays. Both official Stata commands and user-written programs are available. After a stacking trick for binary responses is explained, bar charts and related displays for cross-tabulations are discussed in detail. Tips and tricks are introduced for plotting cum...

There are several user-written programs for performing meta-analysis in Stata (Stata Statistical Software: College Station, TX: Stata Corp LP). These include metan, metareg, mvmeta, and glst. However, there are several cases for which these programs do not suffice. For instance, there is no software for performing univariate meta-analysis with correlated estimates, for multilevel or hierarchica...