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Angrist, Joshua [Verfasser:in] ; Ellison, Glenn [Sonstige Person, Familie und Körperschaft]; Azoulay, Pierre [Sonstige Person, Familie und Körperschaft]; Hill, Ryan [Sonstige Person, Familie und Körperschaft]; Lu, Susan Feng [Sonstige Person, Familie und Körperschaft] National Bureau of Economic Research

Inside Job or Deep Impact? Using Extramural Citations to Assess Economic Scholarship

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  • Medientyp: E-Book
  • Titel: Inside Job or Deep Impact? Using Extramural Citations to Assess Economic Scholarship
  • Beteiligte: Angrist, Joshua [Verfasser:in]; Ellison, Glenn [Sonstige Person, Familie und Körperschaft]; Azoulay, Pierre [Sonstige Person, Familie und Körperschaft]; Hill, Ryan [Sonstige Person, Familie und Körperschaft]; Lu, Susan Feng [Sonstige Person, Familie und Körperschaft]
  • Körperschaft: National Bureau of Economic Research
  • Erschienen: Cambridge, Mass: National Bureau of Economic Research, August 2017
  • Erschienen in: NBER working paper series ; no. w23698
  • Umfang: 1 Online-Ressource
  • Sprache: Englisch
  • DOI: 10.3386/w23698
  • Identifikator:
  • Schlagwörter: Wirtschaftswissenschaft ; Zitationsanalyse ; Interdisziplinäre Forschung ; Informatik ; Operations Research
  • Reproduktionsnotiz: Hardcopy version available to institutional subscribers
  • Entstehung:
  • Anmerkungen: Mode of access: World Wide Web
    System requirements: Adobe [Acrobat] Reader required for PDF files
  • Beschreibung: Does academic economic research produce material of scientific value, or are academic economists writing only for clients and peers? Is economics scholarship uniquely insular? We address these questions by quantifying interactions between economics and other disciplines. Changes in the impact of economic scholarship are measured here by the way other disciplines cite us. We document a clear rise in the extramural influence of economic research, while also showing that economics is increasingly likely to reference other social sciences. A breakdown of extramural citations by economics fields shows broad field impact. Differentiating between theoretical and empirical papers classified using machine learning, we see that much of the rise in economics' extramural influence reflects growth in citations to empirical work. This parallels a growing share of empirical cites within economics. At the same time, the disciplines of computer science and operations research are mostly influenced by economic theory
  • Zugangsstatus: Freier Zugang