Estimation of heterogeneous treatment effects is an active area of research in causal inference. Most of the existing methods, however, focus on estimating the conditional average treatment effects of a single, binary treatment given a set of pre-treatment covariates. In this paper, we propose a method to estimate the heterogeneous causal…

This workshop will target graduate students who plan to do replication analysis using Stata code. We will cover the basics such as opening .dta files, making effective use of .do/.ado files, importing and merging datasets along with manipulating and analyzing political science data. The workshop will be complementary to our one-on-one…

Academic economists have worked for tech companies since around 2000 and in the last 10 years the trickle has turned into a river creating a major new career path for economics PhDs as well as other data science disciplines. Today Amazon has over 450 PhD economists working all across the company. A key differentiator relative to other types of…

This workshop introduces the basic infrastructure for statistical text processing in R using the quanteda package. We will focus on corpus construction and the exploratory data analysis process that should precede fitting statistical models. For this workshop we will assume documents are available in text format; a later workshop will…