Name File Type Size Last Modified
  20160522_Data 10/12/2019 06:05:AM
LICENSE.txt text/plain 14.6 KB 10/12/2019 02:05:AM

Project Citation: 

Lovo, Stefano, and Spaenjers, Christophe. Replication data for: A Model of Trading in the Art Market. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113129V1

Project Description

Summary:  View help for Summary We present an infinite-horizon model of endogenous trading in the art auction market. Agents make purchase and sale decisions based on the relative magnitude of their private use value in each period. Our model generates endogenous cross-sectional and time-series patterns in investment outcomes. Average returns and buy-in probabilities are negatively correlated with the time between purchase and resale (attempt). Idiosyncratic risk does not converge to zero as the holding period shrinks. Prices and auction volume increase during expansions. Our model finds empirical support in auction data and has implications for selection biases in observed prices and transaction-based price indexes.

Scope of Project

JEL Classification:  View help for JEL Classification
      C43 Index Numbers and Aggregation; Leading indicators
      D44 Auctions
      E32 Business Fluctuations; Cycles
      Z11 Cultural Economics: Economics of the Arts and Literature


Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.