| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26795 |
| 来源ID | Working Paper 26795 |
| Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares | |
| Jean-Pierre H. Dubé; Ali Hortaçsu; Joonhwi Joo | |
| 发表日期 | 2020-03-02 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | Although typically overlooked, many purchase datasets exhibit a high incidence of products with zero sales. We propose a new estimator for the Random-Coefficients Logit demand system for purchase datasets with zero-valued market shares. The identification of the demand parameters is based on a pairwise-differencing approach that constructs moment conditions based on differences in demand between pairs of products. The corresponding estimator corrects non-parametrically for the potential selection of the incidence of zeros on unobserved aspects of demand. The estimator also corrects for the potential endogeneity of marketing variables both in demand and in the selection propensities. Monte Carlo simulations show that our proposed estimator provides reliable small-sample inference both with and without selection-on- unobservables. In an empirical case study, the proposed estimator not only generates different demand estimates than approaches that ignore selection in the incidence of zero shares, it also generates better out-of-sample fit of observed retail contribution margins. |
| 主题 | Microeconomics ; Households and Firms ; Industrial Organization ; Industry Studies ; Other ; Accounting, Marketing, and Personnel |
| URL | https://www.nber.org/papers/w26795 |
| 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/584468 |
| 推荐引用方式 GB/T 7714 | Jean-Pierre H. Dubé,Ali Hortaçsu,Joonhwi Joo. Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares. 2020. |
| 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 | ||
| w26795.pdf（1579KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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