IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v116y2026i6p1955-95.html

Quality Adjustment at Scale: Hedonic versus Exact Demand-Based Price Indices

Author

Listed:
  • Gabriel Ehrlich
  • John Haltiwanger
  • Ron Jarmin
  • David Johnson
  • Ed Olivares
  • Luke Pardue
  • Matthew D. Shapiro
  • Laura Yi Zhao

Abstract

Item-level transactions data yield cost-of-living indices that can account for quality change and consumer substitution. Transactions data require confronting the rapid turnover of items because prices of new and existing products are interrelated in equilibrium. This paper evaluates multiple approaches to measuring quality change at scale. It shows that a hedonic superlative approach—using econometrics or machine learning for hedonic estimation combined with index formulas that require simultaneous observation of item-level price and expenditure—yields improved measures of the cost of living. Accounting for ubiquitous quality change and for consumer substitution yields lower measures of inflation than traditional, official methods.

Suggested Citation

  • Gabriel Ehrlich & John Haltiwanger & Ron Jarmin & David Johnson & Ed Olivares & Luke Pardue & Matthew D. Shapiro & Laura Yi Zhao, 2026. "Quality Adjustment at Scale: Hedonic versus Exact Demand-Based Price Indices," American Economic Review, American Economic Association, vol. 116(6), pages 1955-1995, June.
  • Handle: RePEc:aea:aecrev:v:116:y:2026:i:6:p:1955-95
    DOI: 10.1257/aer.20230766
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/aer.20230766
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://doi.org/10.3886/E240342V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/materials/25403
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/materials/25404
    Download Restriction: no

    File URL: https://libkey.io/10.1257/aer.20230766?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Ariel Pakes, 2003. "A Reconsideration of Hedonic Price Indexes with an Application to PC's," American Economic Review, American Economic Association, vol. 93(5), pages 1578-1596, December.
    2. Redding, Stephen J. & Weinstein, David E., 2024. "Accounting for trade patterns," Journal of International Economics, Elsevier, vol. 150(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Onundur Pall Ragnarsson, 2025. "A Hedonic Housing Model for Macroprudential Policy," Economics wp99, Department of Economics, Central bank of Iceland.
    2. Banzhaf, H. Spencer & Farooque, Omar, 2013. "Interjurisdictional housing prices and spatial amenities: Which measures of housing prices reflect local public goods?," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 635-648.
    3. Luca Aguzzoni & Elena Argentesi & Lorenzo Ciari & Tomaso Duso & Massimo Tognoni, 2016. "Ex post Merger Evaluation in the U.K. Retail Market for Books," Journal of Industrial Economics, Wiley Blackwell, vol. 64(1), pages 170-200, March.
    4. Robert C. Feenstra & Christopher R. Knittel, 2009. "Reassessing the US Quality Adjustment to Computer Prices: The Role of Durability and Changing Software," NBER Chapters, in: Price Index Concepts and Measurement, pages 129-160, National Bureau of Economic Research, Inc.
    5. Rachel Griffith & Lars Nesheim, 2008. "Household willingness to pay for organic products," CeMMAP working papers CWP18/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Yun, Seong Hun & Kim, Yongjae & Kim, Minki, 2019. "Quality-adjusted international price comparisons of mobile telecommunications services," Telecommunications Policy, Elsevier, vol. 43(4), pages 339-352.
    7. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    8. Santiago Carbó-Valverde & José Manuel Liñares-Zegarra & Francisco Rodríguez-Fernández, 2007. "Market Power And Willingness To Pay In Network Industries: Evidence From Payment Cards Within Multiproduct Banking," FEG Working Paper Series 07/01, Faculty of Economics and Business (University of Granada).
    9. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    10. Luca Aguzzoni & Elena Argentesi & Paolo Buccirossi & Lorenzo Ciari & Tomaso Duso & Massimo Tognoni & Cristiana Vitale, 2013. "They Played the Merger Game: A Retrospective Analysis in the UK Videogames Market," Discussion Papers of DIW Berlin 1330, DIW Berlin, German Institute for Economic Research.
    11. Daniel Melser & Iqbal A. Syed, 2016. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 509-533, September.
    12. Joaquín Alegre & Magdalena Cladera & Maria Sard, 2012. "The Evolution of British Package Holiday Prices in the Balearic Islands, 2000–2008," Tourism Economics, , vol. 18(1), pages 59-75, February.
    13. Ludwig von Auer & Mark Trede, 2018. "Markets with technological progress: pricing, quality, and novelty," Journal of Economics, Springer, vol. 124(2), pages 121-137, June.
    14. Bieri, David S. & Kuminoff, Nicolai V. & Pope, Jaren C., 2023. "National expenditures on local amenities," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    15. Erica L. Groshen & Brian C. Moyer & Ana M. Aizcorbe & Ralph Bradley & David M. Friedman, 2017. "How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 187-210, Spring.
    16. Iqbal A. Syed & Jan De Haan, 2017. "Age, Time, Vintage, And Price Indexes: Measuring The Depreciation Pattern Of Houses," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 580-600, January.
    17. Claudio Lucarelli & Sean Nicholson, 2009. "A Quality-Adjusted Price Index for Colorectal Cancer Drugs," NBER Working Papers 15174, National Bureau of Economic Research, Inc.
    18. Stranger, Greg & Greenstein, Shane, 2008. "Pricing in the shadow of firm turnover: ISPs during the 1990s," International Journal of Industrial Organization, Elsevier, vol. 26(3), pages 625-642, May.
    19. Bajari, P. & Cen, Z. & Chernozhukov, V. & Manukonda, M. & Vijaykumar, S. & Wang, J. & Huerta, R. & Li, J. & Leng, L. & Monokroussos, G. & Wang, S., 2025. "Hedonic prices and quality adjusted price indices powered by AI," Journal of Econometrics, Elsevier, vol. 251(C).
    20. Christopher R. Knittel & Victor Stango, 2003. "Compatibility and pricing with indirect network effects: evidence from ATMs," Working Paper Series WP-03-33, Federal Reserve Bank of Chicago.

    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aecrev:v:116:y:2026:i:6:p:1955-95. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.