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Markups for Consumers

Author

Listed:
  • Bernhard Ganglmair

  • Alexander Kann

  • Ilona Tsanko

Abstract

A central motivating factor for studying price markups is their effect on consumer welfare. Reported estimates of (firm-level) price markups in the literature, however, are often focused on industry or cross-country comparisons. These treat different industries equally rather than based on how relevant they are for consumers. We propose markup measures in which firm-level price markups are weighted according to consumption expenditures in the respective industries. Using a concordance table between consumption categories (otherwise used for the calculation of consumer price indices) and a firm's industry classification, we report results for Germany for the years 2002 through 2016. We find that consumption-weighted price markups are higher than the conventionally reported revenue-weighted markups. We further show that consumption-weighted markups have increased faster, in particular for medium-income households, which highlights a potential role of price markup as a contributing factor to changes of inequality in society.

Suggested Citation

  • Bernhard Ganglmair & Alexander Kann & Ilona Tsanko, 2021. "Markups for Consumers," CRC TR 224 Discussion Paper Series crctr224_2021_282, University of Bonn and University of Mannheim, Germany.
  • Handle: RePEc:bon:boncrc:crctr224_2021_282
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    File URL: https://www.crctr224.de/research/discussion-papers/archive/dp282
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    Cited by:

    1. Christopher Decker & Amit Zac & Carola Casti & Amédée von Moltke & Ariel Ezrachi, 2022. "Competition Law Enforcement and Household Inequality in the United Kingdom [The UK’s Wealth Distribution and Characteristics of High-Wealth Households]," Journal of Competition Law and Economics, Oxford University Press, vol. 18(4), pages 922-952.
    2. Almut Balleer & Sebastian Link & Manuel Menkhoff & Peter Zorn, 2024. "Demand or Supply? Price Adjustment Heterogeneity during the COVID-19 Pandemic," International Journal of Central Banking, International Journal of Central Banking, vol. 20(1), pages 93-157, February.
    3. Błażej, Mirosław & Górajski, Mariusz & Ulrichs, Magdalena, 2025. "Microdata-based output gap estimation using business tendency surveys," Journal of Economic Dynamics and Control, Elsevier, vol. 174(C).

    More about this item

    Keywords

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    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

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