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A Practical Guide to Price Index and Hedonic Techniques

Author

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  • Aizcorbe, Ana M.

    (Bureau of Economic Analysis)

Abstract

This book provides an accessible guide to price index and hedonic techniques, with a focus on how to best apply these techniques and interpret the resulting measures. One goal of this book is to provide first-hand experience at constructing these measures, with guidance on practical issues such as what the ideal data would look like and how best to construct these measures when the data are less than ideal. A related objective is to fill the wide gulf between the necessarily simplistic elementary treatments in textbooks and the very complex discussions found in the theoretical and empirical measurement literature. Here, the theoretical results are summarized in an intuitive way and their numerical importance is illustrated using data and results from existing studies. Finally, while the aim of much of the existing literature is to better understand official price indexes like the Consumer Price Index, the emphasis here is more practical: to provide the needed tools for individuals to apply these techniques on their own. As new datasets become increasingly accessible, tools like these will be needed to obtain summary price measures. Indeed, these techniques have been applied for years in antitrust cases that involve pricing, where economic experts typically have access to large, granular datasets.

Suggested Citation

  • Aizcorbe, Ana M., 2014. "A Practical Guide to Price Index and Hedonic Techniques," OUP Catalogue, Oxford University Press, number 9780198702429.
  • Handle: RePEc:oxp:obooks:9780198702429
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    Citations

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    Cited by:

    1. David M. Byrne, 2022. "The Digital Economy and Productivity," Finance and Economics Discussion Series 2022-038, Board of Governors of the Federal Reserve System (U.S.).
    2. David M. Byrne & Stephen D. Oliner & Daniel E. Sichel, 2018. "How Fast are Semiconductor Prices Falling?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 679-702, September.
    3. Ana M. Aizcorbe & David M. Byrne & Daniel E. Sichel, 2019. "Getting Smart About Phones : New Price Indexes and the Allocation of Spending Between Devices and Services Plans in Personal Consumption Expenditures," Finance and Economics Discussion Series 2019-012, Board of Governors of the Federal Reserve System (U.S.).
    4. Diewert, Erwin, 2019. "Quality Adjustment and Hedonics: A Unified Approach," Microeconomics.ca working papers erwin_diewert-2019-2, Vancouver School of Economics, revised 14 Mar 2019.
    5. 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.
    6. Alexander Daminger, 2021. "Subsidies to Homeownership and Central City Rent," Working Papers 210, Bavarian Graduate Program in Economics (BGPE).
    7. Kenneth Flamm, 2019. "Measuring Moore’s Law: Evidence from Price, Cost, and Quality Indexes," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 403-470, National Bureau of Economic Research, Inc.
    8. Ana Aizcorbe & Jeffrey C. Chen, 2023. "Outlet Substitution Bias Estimates for Ride Sharing and Taxi Rides in New York City," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2023-02, Economic Statistics Centre of Excellence (ESCoE).
    9. Diewert, W. Erwin, 2017. "Productivity Measurement in the Public Sector: Theory and Practice," Microeconomics.ca working papers erwin_diewert-2017-1, Vancouver School of Economics, revised 02 Feb 2017.
    10. Randal Verbrugge & Alan Dorfman & William Johnson & Fred Marsh III & Robert Poole & Owen Shoemaker, 2017. "Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(3), pages 591-627, July.
    11. Ali Coşkun Tuncer & Gürer Karagedikli, 2016. "‘The people next door’: housing and neighbourhood in eighteenth-century Ottoman Edirne," Working Papers 16010, Economic History Society.
    12. Chihiro Shimizu & Erwin Diewert, 2023. "Scanner Data, Product Churn and Quality Adjustment," Working Papers e185, Tokyo Center for Economic Research.
    13. Ana M. Aizcorbe & Jeff Chen, 2022. "Outlet Substitution Bias Estimates for Ride Sharing and Taxi Rides in New York City," BEA Working Papers 0192, Bureau of Economic Analysis.
    14. Gürer Karagedikli & Ali Coşkun Tunçer, 2021. "House prices in the Ottoman Empire: evidence from eighteenth‐century Edirne," Economic History Review, Economic History Society, vol. 74(1), pages 6-33, February.
    15. Kim, Wook Joon & Kim, Yongkyu, 2018. "An estimation of quality-adjusted prices for mobile services in Korea," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190346, International Telecommunications Society (ITS).

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