This paper considers the problem of making inferences about the effects of a program on multiple outcomes when the assignment of treatment status is imperfectly randomized. By imperfect randomization we mean that treatment status is reassigned after an initial randomization on the basis of...

Marketing scientists often estimate causal effects using data from pre/post test/control quasi-experimental settings. We propose a new, easy to implement Augmented Difference-in-Differences (ADID) method that complements existing approaches to estimate the average treatment effect on the treated...

There is a general acceptance of the fact that a significant direct relationship between financial markets and macroeconomic variables exists, especially by considering the assertion that developed financial markets correspond to high GDP levels. This paper provides an investigation of the...