Pairwise-comparison estimation with non-parametric controls

Koen Jochmans

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Pairwise-comparison estimation with non-parametric controls

机译：非参数控制的成对比较估计

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The purpose of this paper is the presentation of distribution theory for generic estimators based on the pairwise comparison of observations in problems where identification is achieved through the use of control functions. The controls can be specified semi- or non-parametrically. The criterion function may be non-smooth. The theory is applied to the estimation of the coefficients in a monotone linear-index model and to inference on the link function in a partially-linear transformation model. A number of simulation exercises serve to assess the small-sample performance of these techniques.

机译：本文的目的是基于对通过使用控制函数实现识别的问题中观察值的成对比较，介绍通用估计量的分布理论。可以半参数或非参数地指定控件。标准函数可能是不平滑的。该理论适用于单调线性指标模型中的系数估计，并适用于部分线性变换模型中的链接函数。许多模拟练习可用来评估这些技术的小样本性能。

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来源
《The econometrics journal》 |2013年第3期|340-372|共33页
作者
Koen Jochmans;
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作者单位

Sciences Po, Department of Economics, 28 rue des Saints-Peres 75007, Paris, France;

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原文格式 PDF
正文语种 eng
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关键词
Control function; Euclidean class; Pairwise comparisons; Transformation model; Two-step estimation;

机译：控制功能;欧几里得阶层;成对比较;转换模型;两步估算;

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7. Pairwise-comparison estimation with nonparametric controls [O] . Jochmans Koen 2013

机译：非参数控制的成对比较估计

Pairwise-comparison estimation with non-parametric controls

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