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Open data policy and journal impacts: a synthetic difference-in-differences approach

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  • Ho-Chuan Huang
  • Yin Ma
  • Yipeng Wang

Abstract

By implementing a novel synthetic difference-in-differences approach, this article assesses whether adopting open data policy will increase the impact of a journal. Using China Industrial Economics (hereafter CIE, a leading Chinese journal which mandates authors to open their research data/code in the end of 2016) as a quasi-experiment, we show that the introduction of open data policy leads to an increase in CIE’s impact factor by a factor of approximately 1.5 to 2 times.

Suggested Citation

  • Ho-Chuan Huang & Yin Ma & Yipeng Wang, 2024. "Open data policy and journal impacts: a synthetic difference-in-differences approach," Applied Economics Letters, Taylor & Francis Journals, vol. 31(15), pages 1368-1373, September.
    • Handle: RePEc:taf:apeclt:v:31:y:2024:i:15:p:1368-1373
    DOI: 10.1080/13504851.2023.2187017
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