| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP2645 |
| DP2645 Skills, Agglomeration and Segmentation | |
| Alessandro Turrini; Tomoya Mori | |
| 发表日期 | 2000-12-19 |
| 出版年 | 2000 |
| 语种 | 英语 |
| 摘要 | In this paper we apply the statistical framework recently proposed by Imbens (1999) and Lechner (1999) to identify the causal effects of multiple treatments under the conditional independence assumption. We show that under this assumption, matching with respect to the ratio of the scores allows to estimate nonparametrically the average conditional treatment effect for any pair of treatments. Consequently it is possible to estimate this effect by implementing nonparametric matching estimators, which were recently studied by Heckman, Ichimura, Smith and Todd (1998) and Heckman, Ichimura and Todd (1998). The application concerns the youth employment programs that were set up in France during the eighties to improve the labour market prospects of the most disadvantaged and unskilled young workers. The empirical analysis makes use of nonexperimental longitudinal micro data collected by INSEE (Institut National de la Statistique et des Etudes Economiques, Paris) from 1986 to 1988. |
| 主题 | Labour Economics |
| 关键词 | Econometric evaluation methods Matching estimators Multiple treatments Competing-risks duration models Youth employment policies |
| URL | https://cepr.org/publications/dp2645 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/531707 |
| 推荐引用方式 GB/T 7714 | Alessandro Turrini,Tomoya Mori. DP2645 Skills, Agglomeration and Segmentation. 2000. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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