Control Variables in Interactive Models
Ed deHaan, James Moon, Jonathan E. Shipman, Quinn Thomas Swanquist, Robert Lowell Whited
Stanford University Georgia Institute of Technology University of Arkansas at Fayetteville University of Alabama
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摘要与影响
Accounting studies often examine whether the relation between X and Y varies with a moderating variable, M, by including an interactive term, X × M, in a regression. We provide plain-English guidance on why, how, and when to use control variables, Z, in interaction tests. A simulation and simple descriptions demonstrate how interacted controls affect coefficient estimates and interpretations. In particular, we demonstrate how controlling for Z without an accompanying interaction of X × Z and/or M × Z generally does not eliminate the confounding effect of Z on X × M. We conclude with guidance for future research. Data Availability: Stata code to produce the simulations in this paper is available, as linked in the text. JEL Classifications: M40; M41; C01; C18.
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