| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25726 |
| 来源ID | Working Paper 25726 |
| Fast, \"Robust\", and Approximately Correct: Estimating Mixed Demand Systems | |
| Bernard Salanié; Frank A. Wolak | |
| 发表日期 | 2019-04-08 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Many econometric models used in applied work integrate over unobserved heterogeneity. We show that a class of these models that includes many random coefficients demand systems can be approximated by a “small-σ” expansion that yields a linear two-stage least squares estimator. We study in detail the models of product market shares and prices popular in empirical IO. Our estimator is only approximately correct, but it performs very well in practice. It is extremely fast and easy to implement, and it is “robust” to changes in the higher moments of the distribution of the random coefficients. At the very least, it provides excellent starting values for more commonly used estimators of these models. |
| 主题 | Industrial Organization ; Market Structure and Firm Performance |
| URL | https://www.nber.org/papers/w25726 |
| 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/583400 |
| 推荐引用方式 GB/T 7714 | Bernard Salanié,Frank A. Wolak. Fast, \"Robust\", and Approximately Correct: Estimating Mixed Demand Systems. 2019. |
| 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 | ||
| w25726.pdf（1513KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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