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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w24334 |
来源ID | Working Paper 24334 |
The Impact of Big Data on Firm Performance: An Empirical Investigation | |
Patrick Bajari; Victor Chernozhukov; Ali Hortaçsu; Junichi Suzuki | |
发表日期 | 2018-02-19 |
出版年 | 2018 |
语种 | 英语 |
摘要 | In academic and policy circles, there has been considerable interest in the impact of “big data” on firm performance. We examine the question of how the amount of data impacts the accuracy of Machine Learned models of weekly retail product forecasts using a proprietary data set obtained from Amazon. We examine 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/√N+1/√T. Empirical results indicate gains in forecast improvement in the T dimension; as more and more data is available for a particular product, demand forecasts for that product improve over time, though with diminishing returns to scale. In contrast, we find an essentially flat N effect across the various lines of merchandise: with a few exceptions, expansion in the number of retail products within a category does not appear associated with increases in forecast performance. We do find that the firm’s overall forecast performance, controlling for N and T effects across product lines, has improved over time, suggesting gradual improvements in forecasting from the introduction of new models and improved technology. |
主题 | Econometrics ; Estimation Methods ; Industrial Organization ; Industry Studies |
URL | https://www.nber.org/papers/w24334 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/582007 |
推荐引用方式 GB/T 7714 | Patrick Bajari,Victor Chernozhukov,Ali Hortaçsu,et al. The Impact of Big Data on Firm Performance: An Empirical Investigation. 2018. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w24334.pdf(925KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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