| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w20626 |
| 来源ID | Working Paper 20626 |
| Recovering Ex Ante Returns and Preferences for Occupations using Subjective Expectations Data | |
| Peter Arcidiacono; V. Joseph Hotz; Arnaud Maurel; Teresa Romano | |
| 发表日期 | 2014-10-27 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | We show that data on subjective expectations, especially on outcomes from counterfactual choices and choice probabilities, are a powerful tool in recovering ex ante treatment effects as well as preferences for different treatments. In this paper we focus on the choice of occupation, and use elicited beliefs from a sample of male undergraduates at Duke University. By asking individuals about potential earnings associated with counterfactual choices of college majors and occupations, we can recover the distribution of the ex ante monetary returns to particular occupations, and how these returns vary across majors. We then propose a model of occupational choice which allows us to link subjective data on earnings and choice probabilities with the non-pecuniary preferences for each occupation. We find large differences in expected earnings across occupations, and substantial heterogeneity across individuals in the corresponding ex ante returns. However, while sorting across occupations is partly driven by the ex ante monetary returns, non-monetary factors play a key role in this decision. Finally, our results point to the existence of sizable complementarities between college major and occupations, both in terms of earnings and non-monetary benefits. |
| 主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Education ; Labor Economics ; Labor Supply and Demand |
| URL | https://www.nber.org/papers/w20626 |
| 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/578300 |
| 推荐引用方式 GB/T 7714 | Peter Arcidiacono,V. Joseph Hotz,Arnaud Maurel,et al. Recovering Ex Ante Returns and Preferences for Occupations using Subjective Expectations Data. 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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