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The Hitchhiker's Guide to Markup Estimation: Assessing Estimates from Financial Data

Author

Listed:
  • De Ridder, Maarten
  • Grassi, Basile
  • Morzenti, Giovanni

Abstract

Macroeconomic outcomes depend on the distribution of markups across firms and over time, making firm-level markup estimates key for macroeconomic analysis. Methods to obtain these estimates require data on the prices that firms charge. Firm-level data with wide coverage, however, primarily comes from financial statements, which lack information on prices. We use an analytical framework to show that trends in markups or the dispersion of markups across firms can still be well-measured with such data. Finding the average level of the markup does require pricing data, and we propose a consistent estimator for such settings. We validate the analytical results with simulations of a quantitative macroeconomic model and firm-level administrative production and pricing data. Our analysis supports the use of financial data to measure trends in aggregate markups.

Suggested Citation

  • De Ridder, Maarten & Grassi, Basile & Morzenti, Giovanni, 2022. "The Hitchhiker's Guide to Markup Estimation: Assessing Estimates from Financial Data," CEPR Discussion Papers 17532, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:17532
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    More about this item

    Keywords

    Macroeconomics; Competition; Markups; Production functions;
    All these keywords.

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L4 - Industrial Organization - - Antitrust Issues and Policies

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