IDEAS home Printed from https://ideas.repec.org/a/cup/jwecon/v12y2017i02p173-202_00.html
   My bibliography  Save this article

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

Author

Listed:
  • Breeden, Joseph L.
  • Liang, Sisi

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)

Suggested Citation

  • Breeden, Joseph L. & Liang, Sisi, 2017. "Auction-Price Dynamics for Fine Wines from Age-Period-Cohort Models," Journal of Wine Economics, Cambridge University Press, vol. 12(2), pages 173-202, May.
  • Handle: RePEc:cup:jwecon:v:12:y:2017:i:02:p:173-202_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1931436117000207/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

    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:cup:jwecon:v:12:y:2017:i:02:p:173-202_00. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jwe .

    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.