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To Omit or to Include? Integrating the Frugal and Prolific Perspectives on Control Variable Use (2023)


Mändli, F., & Rönkkö, M. (2023). To Omit or to Include? Integrating the Frugal and Prolific Perspectives on Control Variable Use. Organizational Research Methods, OnlineFirst. https://doi.org/10.1177/10944281231221703


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatMändli, Fabian; Rönkkö, Mikko

Lehti tai sarjaOrganizational Research Methods

ISSN1094-4281

eISSN1552-7425

Julkaisuvuosi2023

Ilmestymispäivä21.12.2023

VolyymiOnlineFirst

KustantajaSAGE Publications

JulkaisumaaYhdysvallat (USA)

Julkaisun kielienglanti

DOIhttps://doi.org/10.1177/10944281231221703

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusOsittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/92637


Tiivistelmä

Over the recent years, two perspectives on control variable use have emerged in management research: the first originates largely from within the management discipline and argues to remain frugal, to use control variables as sparsely as possible. The second is rooted in econometrics textbooks and argues to be prolific, to be generous in control variable inclusion to not risk omitted variable bias, and because including irrelevant exogenous variables has little consequences for regression results. We present two reviews showing that the frugal perspective is becoming increasingly popular in research practice, while the prolific perspective has received little explicit attention. We summarize both perspectives’ key arguments and test their specific recommendations in three Monte Carlo simulations. Our results challenge the two recommendations of the frugal perspective of “omitting impotent controls” and “avoiding proxies” but show the detrimental effects of including endogenous controls (bad controls). We recommend considering the control variable selection problem from the perspective of endogeneity and selecting controls based on theory using causal graphs instead of focusing on the many or few questions.


YSO-asiasanatkausaliteettikorrelaatioMonte Carlo -menetelmät

Vapaat asiasanatcontrol variables; correlation; causality; endogeneity; Monte Carlo simulation


Liittyvät organisaatiot

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Hankkeet, joissa julkaisu on tehty


OKM-raportointiKyllä

VIRTA-lähetysvuosi2023

JUFO-taso3


Viimeisin päivitys 2024-12-10 klo 18:45