Erschienen in:Harvard Institute of Economic Research Discussion Paper ; No. 2174
Umfang:
1 Online-Ressource (52 p)
Sprache:
Englisch
DOI:
10.2139/ssrn.1394476
Identifikator:
Entstehung:
Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 3, 2010 erstellt
Beschreibung:
Incomplete product availability is an important feature of many markets; ignoring changes in availability may bias demand estimates. We study a new dataset from a wireless inventory system installed on 54 vending machines to track product availability every four hours. The data allows us to account for product availability when estimating demand, and provides a valuable source of variation for identifying substitution patterns. We develop a procedure that allows for changes in product availability even when availability is only observed periodically. We find significant differences in demand estimates, with the corrected model predicting significantly larger impacts of stock-outs on profitability