| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/t0022
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| 来源ID | Technical Working Paper 0022
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| Using Information on the Moments of Disturbances to Increase the Efficiency of Estimation |
| Thomas E. MaCurdy
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| 发表日期 | 1982-05-01
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| 出版年 | 1982
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| 语种 | 英语
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| 摘要 | Econometric analyses of treatment response commonly use instrumental variable (IV) assumptions to identify treatment effects. Yet the credibility of IV assumptions is often a matter of considerable disagreement, with much debate about whether some covariate is or is not a 'valid instrument' in an application of interest. There is therefore good reason to consider weaker but more credible assumptions. To this end, we introduce monotone instrumental variable (MIV) assumptions. A particularly interesting special case of an MIV assumption is monotone treatment selection (MTS). IV and MIV assumptions may be imposed alone or in combination with other assumptions. We study the identifying power of MIV assumptions in three informational settings: MIV alone; MIV combined with the classical linear response assumption; MIV combined with the monotone treatment response (MTR) assumption. We apply the results to the problem of inference on the returns to schooling. We analyze wage data reported by white male respondents to the National Longitudinal Survey of Youth (NLSY) and use the respondent's AFQT score as an MIV. We find that this MIV assumption has little identifying power when imposed alone. However, combining the MIV assumption with the MTR and MTS assumptions yields fairly tight bounds on two distinct measures of the returns to schooling. |
| URL | https://www.nber.org/papers/t0022
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/558100
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推荐引用方式
GB/T 7714 |
Thomas E. MaCurdy. Using Information on the Moments of Disturbances to Increase the Efficiency of Estimation. 1982.
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文件名：
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t0022.pdf
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格式：
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Adobe PDF
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