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Auction-Price Dynamics for Fine Wines from Age-Period-Cohort Models*

Published online by Cambridge University Press:  07 November 2017

Joseph L. Breeden Open the ORCID record for Joseph L. Breeden [Opens in a new window]  and
Sisi Liang
Joseph L. Breeden*
Affiliation:
auctionforecast.com, 1600 Lena St., Suite C24, Santa Fe, New Mexico, 87505
Sisi Liang
Affiliation:
auctionforecast.com, 1600 Lena St., Suite C24, Santa Fe, New Mexico, 87505; e-mail: sisi.liang@auctionforecast.com.
*
e-mail: breeden@prescientmodels.com or breeden@auctionforecast.com (corresponding author).
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Abstract

In an attempt to expand the understanding of auction-price dynamics for fine wines, an age-period-cohort (APC) algorithm is applied to a database of 1.5 million auction results to quantify key drivers of these price dynamics. APC algorithms are designed to separate price appreciation with the age of the wine from overall wine-market conditions as well as to adjust for the unique value of specific vintages. In this context, the APC modeling provides a kind of Hedonic modeling, with specific controls regarding specification errors.

The analysis was segmented by Château Lafite Rothschild, Bordeaux excluding Lafite, and Burgundy so that we could test specific events related to Château Lafite Rothschild. The results show price dynamics versus the ages of the wines and allow for the measurement of long-term price-appreciation potential. Environment functions versus auction dates quantify the “Lafite Bubble” and suggest past correlation to Chinese stock-market indices. An analysis of wine ratings versus price quantifies their nonlinear relationship. An analysis across nine auction houses shows a significant price spread for similar wines. (JEL Classifications: C23, D44, G11, G12, Q11)

Keywords

age-period-cohort modelsauction pricesBordeauxBurgundyLafitewine investment
Type
Articles
Information
Journal of Wine Economics , Volume 12 , Issue 2 , May 2017 , pp. 173 - 202
Copyright
Copyright © American Association of Wine Economists 2017 

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Footnotes

*

The authors would like to thank Karl Storchmann (the editor) and the reviewer for their insightful comments and encouragement.

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