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Replication data for: Demand Estimation under Incomplete Product Availability

Resource Type
  • Conlon, Christopher T.
  • Mortimer, Julie Holland
Publication Date
  • Abstract

    Incomplete product availability is an important feature of many markets, and ignoring changes in availability may bias demand estimates. We study a new dataset from a wireless inventory system on vending machines to track product availability every four hours. The data allow us to account for product availability when estimating demand, and provide valuable variation for identifying substitution patterns when products stock out. We develop a procedure that allows for changes in product availability when availability is only observed periodically. We find significant differences in demand estimates: the corrected model predicts significantly larger impacts of stock-out events on profitability.
  • Is supplement to
    DOI: 10.1257/mic.5.4.1 (Text)
  • Conlon, Christopher T, and Julie Holland Mortimer. “Demand Estimation Under Incomplete Product Availability.” American Economic Journal: Microeconomics 5, no. 4 (November 2013): 1–30.
    • ID: 10.1257/mic.5.4.1 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-12-07

Conlon, Christopher T.; Mortimer, Julie Holland (2013): Replication data for: Demand Estimation under Incomplete Product Availability. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.