| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w20472 |
| 来源ID | Working Paper 20472 |
| Sorting Between and Within Industries: A Testable Model of Assortative Matching | |
| John M. Abowd; Francis Kramarz; Sébastien Pérez-Duarte; Ian M. Schmutte | |
| 发表日期 | 2014-09-11 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | We test for sorting of workers between and within industrial sectors in a directed search model with coordination frictions. We fit the model to sector-specific vacancy and output data along with publicly-available statistics that characterize the distribution of worker and employer wage heterogeneity across sectors. Our empirical method is general and can be applied to a broad class of assignment models. The results indicate that industries are the loci of sorting-more productive workers are employed in more productive industries. The evidence confirms assortative matching can be present even when worker and employer components of wage heterogeneity are weakly correlated. |
| 主题 | Econometrics ; Estimation Methods ; Macroeconomics ; Consumption and Investment ; Labor Economics ; Labor Supply and Demand ; Labor Compensation |
| URL | https://www.nber.org/papers/w20472 |
| 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/578144 |
| 推荐引用方式 GB/T 7714 | John M. Abowd,Francis Kramarz,Sébastien Pérez-Duarte,et al. Sorting Between and Within Industries: A Testable Model of Assortative Matching. 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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