| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w6481 |
| 来源ID | Working Paper 6481 |
| Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market | |
| Steven Berry; James Levinsohn; Ariel Pakes | |
| 发表日期 | 1998-03-01 |
| 出版年 | 1998 |
| 语种 | 英语 |
| 摘要 | In this paper, we exploit new sources of cross-sectional data to estimate a detailed product-level demand system for new passenger vehicles. We use four data sources: on the characteristics of products, on the attributes of the U.S. population of households, on the match between the first and second vehicle choices of the household, and on the match between households attributes and first choice vehicles. We show that these data solve some, but not all, of the traditional problems in estimating differentiated products demand systems and indicate which data sources are important for which problem. The data is rich enough to reveal a rather complex substitution pattern, requiring a quite general modeling framework. Together the data and model make a detailed analysis of industry demand possible. |
| 主题 | Microeconomics ; Market Structure and Distribution ; Industrial Organization ; Industry Studies |
| URL | https://www.nber.org/papers/w6481 |
| 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/563998 |
| 推荐引用方式 GB/T 7714 | Steven Berry,James Levinsohn,Ariel Pakes. Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market. 1998. |
| 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 | ||
| w6481.pdf（2440KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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