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Replication data for: The Rapid Adoption of Data-Driven Decision-Making

Version
V0
Resource Type
Dataset
Creator
  • Brynjolfsson, Erik
  • McElheran, Kristina
Publication Date
2016-05-01
Description
  • Abstract

    We provide a systematic empirical study of the diffusion and adoption patterns of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for a large representative sample of manufacturing plants, we find that DDD rates nearly tripled (11%-30%) between 2005 and 2010. This rapid diffusion, along with results from a companion paper, are consistent with case-based evidence that DDD tends to be productivity-enhancing. Yet certain plants are significantly more likely to adopt than others. Key correlates of adoption are size, presence of potential complements such as information technology and educated workers, and firm learning.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.p20161016 (Text)
Publications
  • Brynjolfsson, Erik, and Kristina McElheran. American Economic Review, American Economic Review, 106, no. 5 (n.d.): 133–39. https://doi.org/10.1257/aer.p20161016.
    • ID: 10.1257/aer.p20161016 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Brynjolfsson, Erik; McElheran, Kristina (2016): Replication data for: The Rapid Adoption of Data-Driven Decision-Making. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113439