Causality and Endogeneity

摘要: Most leadership and management researchers ignore one key design estimation problem rendering parameter estimates uninterpretable: Endogeneity. We discuss the of endogeneity in depth explain conditions that engender it using examples grounded literature. show how consistent causal can be derived from randomized experiment, where is eliminated by experimental design. then review reasons why may become biased (i.e., inconsistent) non-experimental designs present a number useful remedies for examining relations with data. write intuitive terms nontechnical language to make this chapter accessible large audience.