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- W3183186711 abstract "Difference-in-differences (DD) models allow researchers to estimate changes between treatment and control groups after exogenous interventions or shocks. We reviewed research in strategic management and found that the use of DD models increased from 1 study in 2006 to 27 studies in 2020. Our review also found, however, that strategy researchers often overlook the two most important assumptions of DD models: as-if random assignment (i.e., endogeneity) and parallel trends (i.e., differences between two groups over time without the intervention). Specifically, we found that only 41% and 51% of the articles assess the validity of these two assumptions respectively. Such findings explain in part why strategy scholars have often inappropriately used DD models to examine endogenous treatment variables, such as corporate governance practices, international strategies, and corporate-level strategies. We develop simulations and find that violations of the model’s assumptions bias parameter estimates. Our primary finding is that DD models do not resolve endogeneity concerns and are biased if the treatment is endogenous. We use our simulation results to provide straightforward recommendations to strategy scholars employing DD models." @default.
- W3183186711 created "2021-08-02" @default.
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- W3183186711 date "2021-08-01" @default.
- W3183186711 modified "2023-09-27" @default.
- W3183186711 title "The Application of the Difference-in-Differences Model in Strategic Management Research" @default.
- W3183186711 doi "https://doi.org/10.5465/ambpp.2021.169" @default.
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