| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w15226 |
| 来源ID | Working Paper 15226 |
| Nonparametric Identification and Estimation of Nonadditive Hedonic Models | |
| James J. Heckman; Rosa L. Matzkin; Lars Nesheim | |
| 发表日期 | 2009-08-13 |
| 出版年 | 2009 |
| 语种 | 英语 |
| 摘要 | This paper studies the identification and estimation of preferences and technologies in equilibrium hedonic models. In it, we identify nonparametric structural relationships with nonadditive heterogeneity. We determine what features of hedonic models can be identified from equilibrium observations in a single market under weak assumptions about the available information. We then consider use of additional information about structural functions and heterogeneity distributions. Separability conditions facilitate identification of consumer marginal utility and firm marginal product functions. We also consider how identification is facilitated using multimarket data. |
| 主题 | Econometrics ; Estimation Methods ; Microeconomics ; Market Structure and Distribution ; General Equilibrium |
| URL | https://www.nber.org/papers/w15226 |
| 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/572902 |
| 推荐引用方式 GB/T 7714 | James J. Heckman,Rosa L. Matzkin,Lars Nesheim. Nonparametric Identification and Estimation of Nonadditive Hedonic Models. 2009. |
| 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 | ||
| w15226.pdf（222KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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