• Medientyp: E-Book
  • Titel: The Darwinian Returns to Scale
  • Beteiligte: Baqaee, David [Verfasser:in]; Farhi, Emmanuel [Sonstige Person, Familie und Körperschaft]
  • Körperschaft: National Bureau of Economic Research
  • Erschienen: Cambridge, Mass: National Bureau of Economic Research, 2020
  • Erschienen in: NBER working paper series ; no. w27139
  • Umfang: 1 Online-Ressource; illustrations (black and white)
  • Sprache: Englisch
  • DOI: 10.3386/w27139
  • Identifikator:
  • Reproduktionsnotiz: Hardcopy version available to institutional subscribers
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  • Anmerkungen: System requirements: Adobe [Acrobat] Reader required for PDF files
    Mode of access: World Wide Web
  • Beschreibung: How does an increase in the size of the market due to fertility, immigration, or trade integration, affect welfare and real GDP? We study this question using a model with heterogeneous firms, fixed costs, and monopolistic competition. We decompose the change in welfare into changes in technical and allocative efficiency due to reallocation. We non-parametrically identify residual demand curves with firm-level data and, using these estimates, quantify our theoretical results. We find that somewhere between 70% to 90% of the aggregate returns to scale are due to changes in allocative efficiency. In bigger markets, competition endogenously toughens and triggers Darwinian reallocations: big firms expand, small firms shrink and exit, and new firms enter. However, important as they are, the improvements in allocative efficiency are not driven by oft-emphasized reductions in markups or deaths of unproductive firms. Instead, they are caused by a composition effect that reallocates resources from low-markup to high-markup firms. Our analysis implies that the aggregate return to scale is an endogenous outcome shaped by frictions and market structure and likely varies with time, place, and policy. Furthermore, even mild increasing returns to scale at the micro level can give rise to large increasing returns to scale at the macro level
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