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The perils of endogeneity and instrumental variables in strategy research: Understanding through simulations

Certo, S. Trevis - ; Semadeni, Matthew - ; Withers, Michael C. - ;

In this paper we use simulations to examine how endogeneity biases the results reported by ordinary least squares (OLS) regression. In addition, we examine how instrumental variable techniques help to alleviate such bias. Our results demonstrate severe bias even at low levels of endogeneity. Our results also illustrate how instrumental variables produce unbiased coefficient estimates, but instrumental variables are associated with extremely low levels of statistical power. Finally, our simulations highlight how stronger instruments improve statistical power and that endogenous instruments can report results that are inferior to those reported by OLS regression. Based on our results, we provide a series of recommendations for scholars dealing with endogeneity. .Printed Journal, baca ditempat


Ketersediaan

Call NumberLocationAvailable
SMJ3507PSB lt.dasar - Pascasarjana1
Penerbit: Wiley Periodicals
Edisi-
SubjekOrdinary least squares
Endogeneity
strategy research
Simulations
Instrumental variables
ISBN/ISSN1432095
Klasifikasi-
Deskripsi Fisik-
Info Detail Spesifik-
Other Version/RelatedTidak tersedia versi lain
Lampiran BerkasTidak Ada Data

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