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Hedonic methods for baskets of goods

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  • Griffith, Rachel
  • Nesheim, Lars

Abstract

Existing hedonic methods cannot be easily adapted to estimate willingness to pay for product characteristics when willingness to pay depends on a very large basket of goods. We show how to marry these methods with revealed preference arguments to estimate bounds on willingness to pay using data on purchases of seemingly impossibly high dimensional baskets of goods. This allows us to use observed purchase prices and quantities on a large basket of products to learn about individual household’s willingness to pay for characteristics, while maintaining a high degree of flexibility and also avoiding the biases that arise from inappropriate aggregation.

Suggested Citation

  • Griffith, Rachel & Nesheim, Lars, 2013. "Hedonic methods for baskets of goods," Economics Letters, Elsevier, vol. 120(2), pages 284-287.
    • Handle: RePEc:eee:ecolet:v:120:y:2013:i:2:p:284-287
    DOI: 10.1016/j.econlet.2013.04.040
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    References listed on IDEAS

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    1. Laura Blow & Martin Browning & Ian Crawford, 2008. "Revealed Preference Analysis of Characteristics Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(2), pages 371-389.
    2. Rachel Griffith & Lars Nesheim, 2010. "Estimating households' willingness to pay," CeMMAP working papers CWP24/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Scotchmer, Suzanne, 1985. "Hedonic prices and cost/benefit analysis," Journal of Economic Theory, Elsevier, vol. 37(1), pages 55-75, October.
    4. Kanemoto, Yoshitsugu, 1988. "Hedonic Prices and the Benefits of Public Projects," Econometrica, Econometric Society, vol. 56(4), pages 981-989, July.
    5. 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.
    6. C. Lanier Benkard & Patrick Bajari, 2005. "Hedonic Price Indexes With Unobserved Product Characteristics, and Application to Personal Computers," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 61-75, January.
    7. Andrew Leicester & Zoë Oldfield, 2009. "Using Scanner Technology to Collect Expenditure Data," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 309-337, December.
    8. Rachel Griffith & Martin O'Connell, 2009. "The Use of Scanner Data for Research into Nutrition," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 339-365, December.
    9. Pollak, Robert A., 1989. "The Theory of the Cost-of-Living Index," OUP Catalogue, Oxford University Press, number 9780195058703.
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    Citations

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    Cited by:

    1. Ji Yan & Kun Tian & Huw D. Dixon & Saeed Heravi & Peter Morgan, 2014. "Shop Around and You Pay More," CESifo Working Paper Series 4940, CESifo.
    2. Mika Kortelainen & Jibonayan Raychaudhuri & Beatrice Roussillon, 2016. "Effects Of Carbon Reduction Labels: Evidence From Scanner Data," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1167-1187, April.
    3. Matthias Staudigel & Aleksej Trubnikov, 2022. "High price premiums as barriers to organic meat demand? A hedonic analysis considering species, cut and retail outlet," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 309-334, April.
    4. Moon, Donghyun & Kim, Sanghyo, 2021. "Implicit Values of Functional Attributes of Fluid Milk Products: Hedonic Analysis of Korean Fluid Milk Market," 2021 Annual Meeting, August 1-3, Austin, Texas 313948, Agricultural and Applied Economics Association.
    5. Jibonayan Raychaudhuri & Ada Wossink, 2018. "Ecolabels and The Economic Recession," Economics Discussion Paper Series 1807, Economics, The University of Manchester.
    6. H. Spencer Banzhaf, 2020. "Panel Data Hedonics: Rosen'S First Stage As A “Sufficient Statistic”," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 973-1000, May.
    7. Hussein, Mohamud & Fraser, Iain & Costanigro, Marco, 2016. "Hedonic Analysis of Origin of Meat In The United Kingdom," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236353, Agricultural Economics Society.
    8. Yu Jiang & H. Holly Wang & Shaosheng Jin & Michael S. Delgado, 2019. "The Promising Effect of a Green Food Label in the New Online Market," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    9. Ribeiro, Jose Eduardo & Gschwandtner, Adelina & Revoredo-Giha, Cesar, 2021. "Estimation of a Hedonic Price Equation for Chicken Meat in the UK: Does the Organic Attribute Matter?," 2021 Conference, August 17-31, 2021, Virtual 314942, International Association of Agricultural Economists.
    10. H. Spencer Banzhaf, 2021. "Difference-in-Differences Hedonics," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2385-2414.
    11. Yu Jiang & H. Holly Wang & Shaosheng Jin, 2023. "Mobilising the public to fight poverty using anti‐poverty labels in online food markets: Evidence from a real experimental auction," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 168-190, February.

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    More about this item

    Keywords

    Hedonic prices; Scanner data; Willingness to pay; Organic;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D1 - Microeconomics - - Household Behavior
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L8 - Industrial Organization - - Industry Studies: Services

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