Replication data for: Demand Estimation under Incomplete Product Availability
Principal Investigator(s): View help for Principal Investigator(s) Christopher T. Conlon; Julie Holland Mortimer
Version: View help for Version V1
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| Code | 12/07/2019 03:18:PM | ||
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text/plain | 14.6 KB | 12/07/2019 10:18:AM |
Project Citation:
Conlon, Christopher T., and Mortimer, Julie Holland. Replication data for: Demand Estimation under Incomplete Product Availability. Nashville, TN: American Economic Association [publisher], 2013. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116443V1
Project Description
Summary:
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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.
Scope of Project
JEL Classification:
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D12 Consumer Economics: Empirical Analysis
D25 Intertemporal Firm Choice: Investment, Capacity, and Financing
G31 Capital Budgeting; Fixed Investment and Inventory Studies; Capacity
L81 Retail and Wholesale Trade; e-Commerce
M11 Production Management
D12 Consumer Economics: Empirical Analysis
D25 Intertemporal Firm Choice: Investment, Capacity, and Financing
G31 Capital Budgeting; Fixed Investment and Inventory Studies; Capacity
L81 Retail and Wholesale Trade; e-Commerce
M11 Production Management
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