Causal evidence from random assignment has been labeled "the most credible." We argue itis generally incomplete in finance/economics, omitting central parts of the true empirical causalchain. Random assignment, in eliminating self-selection, simultaneously precludes signaling viatreatment...

This chapter discusses how applied researchers in corporate finance can address endogeneity concerns. We begin by reviewing the sources of endogeneity—omitted variables, simultaneity, and measurement error—and their implications for inference. We then discuss in detail a number of...

We consider a multiple mismeasured regressor errors-in-variables model. We develop closed-form minimum distance estimators from any number of estimating equations, which are linear in the third and higher cumulants of the observable variables. Using the cumulant estimators alters qualitative...