Replication data for: The Impact of Big Data on Firm Performance: An Empirical Investigation
Principal Investigator(s): View help for Principal Investigator(s) Patrick Bajari; Victor Chernozhukov; Ali Hortaçsu; Junichi Suzuki
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| P2019_1000_data | 10/13/2019 01:31:AM | ||
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text/plain | 14.6 KB | 10/12/2019 09:31:PM |
Project Citation:
Bajari, Patrick, Chernozhukov, Victor, Hortaçsu, Ali, and Suzuki, Junichi. Replication data for: The Impact of Big Data on Firm Performance: An Empirical Investigation. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-13. https://doi.org/10.3886/E114501V1
Project Description
Summary:
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We examine the impact of "big data" on firm performance in the context of forecast accuracy using proprietary retail sales data obtained from Amazon. We measure the accuracy of forecasts in two relevant dimensions: the number of products (N), and the number of time periods for which a product is available for sale (T). Theory suggests diminishing returns to larger N and T, with relative forecast errors diminishing at rate 1/sqrt(N)+1/sqrt(T). Empirical results indicate gains in forecast improvement in the T dimension but essentially flat N effects.
Scope of Project
JEL Classification:
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C53 Forecasting Models; Simulation Methods
C55 Large Data Sets: Modeling and Analysis
L25 Firm Performance: Size, Diversification, and Scope
L81 Retail and Wholesale Trade; e-Commerce
C53 Forecasting Models; Simulation Methods
C55 Large Data Sets: Modeling and Analysis
L25 Firm Performance: Size, Diversification, and Scope
L81 Retail and Wholesale Trade; e-Commerce
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