Empirical analysis reveals widespread diffusion of causal identification methods across corporate finance research, highlighting how academic networks drive methodological adoption.
We study the diffusion of techniques designed to identify causal relationships in corporate finance research. We estimate that the diffusion started in the mid-1990s, lagged 20 years compared to economics, and is now used in the majority of corporate finance articles. Consistent with recent theories of technology diffusion, the adoption varies across researchers based on individuals’ expected net benefits of adoption. Younger scholars, holders of PhDs in economics, and those working at top institutions adopt faster. Adoption is accelerated through networks of colleagues and alumni and is also facilitated by straddlers who cross over from economics to finance. Our findings highlight new forces that explain the diffusion of innovation and shape the norms of academic research. This paper was accepted by Gustavo Manso, finance.
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Bowen et al. (2016) studied this question.
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