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

Principal Investigator(s): View help for Principal Investigator(s) Erik Brynjolfsson; Kristina McElheran

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Readme_file_DDD_PP.docx	application/vnd.openxmlformats-officedocument.wordprocessingml.document	24.3 KB	10/12/2019 07:01:AM

Project Description

Summary: 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.

Scope of Project

JEL Classification:
      D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      L60 Industry Studies: Manufacturing: General
      M10 Business Administration: General
      M50 Personnel Economics: General

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Published Versions

V1 [2019-10-12]

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DDI 2.5

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