A Nonparametric Partially Identified Estimator for Equivalence Scales

C. Dudel
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引用次数: 2

Abstract

Methods for estimating equivalence scales usually rely on rather strong identifying assumptions. This paper considers a partially identified estimator for equivalence scales derived from the potential outcomes framework and using nonparametric methods for estimation, which requires only mild assumptions. Instead of point estimates, the method yields only lower and upper bounds of equivalence scales. Results of an analysis using German expenditure data show that the range implied by these bounds is rather wide, but can be reduced using additional covariates.
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等价尺度的非参数部分辨识估计量
估计等效尺度的方法通常依赖于相当强的识别假设。本文考虑了从潜在结果框架出发的等价尺度的部分辨识估计量,并使用非参数方法进行估计,只需要轻微的假设。该方法只得到等价尺度的下界和上界,而不需要点估计。使用德国支出数据的分析结果表明,这些界限所隐含的范围相当宽,但可以使用额外的协变量来缩小。
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