Causal inference in psychological research is typically hampered by unobserved
confounding. A copula-based method can be used to statistically control for this problem …

The aim of this article was to perform a scoping review of methods available for dealing with
confounding when analyzing the effect of health care treatments with single‐point exposure …

Empirical research in operations management (OM) has made rapid strides in the last 30
years, and increasingly, OM researchers are leveraging methods used in the econometrics …

Observational studies almost always have bias because prognostic factors are unequally
distributed between patients exposed or not exposed to an intervention. The standard …

OBJECTIVES Few researchers have evaluated whether school racial segregation, a key
manifestation of structural racism, affects child health, despite its potential impacts on school …

Housing affordability is one of the major social problems in many countries, with some
advocates urging governments to provide more accessible mortgages to facilitate more …

The increasing frequency of negative rainfall shocks presents households with the
challenging choice of whether to send their children to school or to withdraw them in order …

Weak instruments produce causal inferences that are sensitive to small failures of the
assumptions underlying an instrumental variable, so strong instruments are preferred. The …

Objectives Instrumental variable (IV) analysis is promising for estimation of therapeutic
effects from observational data as it can circumvent unmeasured confounding. However …

Abstract Firms in many South Asian countries are not only directly affected by natural
disasters, but also indirectly affected by natural disaster-induced corruption of public …