Nonparametric bounds on equivalence scales
Christian Dudel
Abstract
Open-access reader
Christian Dudel
Abstract
Open-access reader
Methods for estimating equivalence scales usually rely on rather strong identifying assumptions. This note considers nonparametric bounds on equivalence scales derived from the potential outcomes framework and uses nonparametric methods for estimation, which requires only mild assumptions. The method yields only lower and upper bounds of equivalence scales rather than point estimates. The results of an analysis using German expenditure data show that the range implied by these bounds is rather wide.
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Methods for estimating equivalence scales usually rely on rather strong identifying assumptions. This note considers nonparametric bounds on equivalence scales derived from the potential outcomes framework and uses nonparametric methods for estimation, which requires only mild assumptions. The method yields only lower and upper bounds of equivalence scales rather than point estimates. The results of an analysis using German expenditure data show that the range implied by these bounds is rather wide.
Key concepts: Nonparametric statistics, Equivalence (formal languages), Mathematics, Point estimation, Econometrics, Upper and lower bounds, Range (aeronautics), Applied mathematics