| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w12013 |
| 来源ID | Working Paper 12013 |
| Estimating Static Models of Strategic Interaction | |
| Patrick Bajari; Han Hong; John Krainer; Denis Nekipelov | |
| 发表日期 | 2006-02-06 |
| 出版年 | 2006 |
| 语种 | 英语 |
| 摘要 | We propose a method for estimating static games of incomplete information. A static game is a generalization of a discrete choice model, such as a multinomial logit or probit, which allows the actions of a group of agents to be interdependent. Unlike most earlier work, the method we propose is semiparametric and does not require the covariates to lie in a discrete set. While the estimator we propose is quite flexible, we demonstrate that in most cases it can be easily implemented using standard statistical packages such as STATA. We also propose an algorithm for simulating the model which finds all equilibria to the game. As an application of our estimator, we study recommendations for high technology stocks between 1998-2003. We find that strategic motives, typically ignored in the empirical literature, appear to be an important consideration in the recommendations submitted by equity analysts. |
| 主题 | Industrial Organization ; Regulatory Economics ; Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w12013 |
| 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/569664 |
| 推荐引用方式 GB/T 7714 | Patrick Bajari,Han Hong,John Krainer,et al. Estimating Static Models of Strategic Interaction. 2006. |
| 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 | ||
| w12013.pdf（548KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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