Abstract Recent measurement technologies enable us to analyze baseball at higher levels of complexity. There are, however, still many unclear points around pitching strategy. are two elements that make it difficult measure the effect a First, most public datasets do not include location data where catcher demands ball, which is essential information obtain battery’s intent. Second, there confou...

Compared to high school graduates, adolescents who drop out of school are more likely to have a range of negative outcomes, including lower verbal capacities; however, the true nature of this association is not well-understood. Dropping out of school could have an important effect on reducing verbal skills, or the link between dropping out of school and diminished verbal skills could be a spuri...

In a nonrandomized or observational study, propensity scores may be used to balance observed covariates and trajectory groups may be used to control baseline or pretreatment measures of outcome. The trajectory groups also aid in characterizing classes of subjects for whom no good matches are available and to define substantively interesting groups between which treatment effects may vary. These...

Using recent data from the Chinese manufacturing industry and the generalised propensity score, this paper establishes economically significant causal effects of foreign acquisition on domestic and export markets dynamics. JEL classification: F23, G28, C24

This paper explores the effects of overseas activity on parent firm employment in a panel of Taiwan’s large, listed firms during 2000-2005. Propensity score matching estimates of discrete effects suggest that employment growth did not differ significantly between new parents and firms with no overseas operations. Generalized method of moments’ estimates of marginal effects for all firms indicat...

I provide a simple introduction to the use of propensity score reweighting to assess the effect of changes in covariates on the distribution of an outcome (such as wages). I relate this to the literature on estimating “average treatment effects” and Blinder/Oaxaca decompositions as well as discuss some of the limitations and uses of reweighting.

Comparative-effectiveness research (CER) aims to produce actionable evidence regarding the effectiveness and safety of medical products and interventions as they are used outside of controlled research settings. Although CER evidence regarding medications is particularly needed shortly after market approval, key methodological challenges include (i) potential bias due to channeling of patients ...