Propensity score matching (PSM) has been widely used to reduce confounding biases in
observational studies. Its properties for statistical inference have also been investigated and …

Propensity score weighting and outcome regression are popular ways to adjust for observed
confounders in epidemiologic research. Here, we provide an introduction to matching …

Cannabis use in pregnancy has increased,, and many women continue to use it throughout
pregnancy. With the legalization of recreational cannabis in many jurisdictions, there is …

We show that propensity score matching (PSM), an enormously popular method of
preprocessing data for causal inference, often accomplishes the opposite of its intended …

Matching methods improve the validity of causal inference by reducing model dependence
and offering intuitive diagnostics. Although they have become a part of the standard tool kit …

This paper examines whether a premium for green bonds, called “greenium”, found in
previous studies, exists in primary and secondary bond markets. Using a universe of about …

Much research has suggested that independent boards of directors are more effective in
reducing agency costs and improving firm governance. How they influence innovation is …

A large auditing literature concludes that Big N auditors provide higher audit quality than
non-Big N auditors. Recently, however, a high-profile study suggests that propensity score …

The propensity score plays a central role in a variety of causal inference settings. In
particular, matching and weighting methods based on the estimated propensity score have …

Propensity score analysis is often used to address selection bias in program evaluation with
observational data. However, a recent study suggested that propensity score matching may …