1999•Working paper series - Institute for Fiscal Studies/Working papersRequires access

Nonparametric tests of stochastic dominance in bivariate distributions, with an application to UK data

Ian Crawford

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Abstract

This paper make straightforward extensions to Anderson's (1996) nonparametric statistical tests of stochastic dominance criteria to bivariate distributions. These test are applied to a time series of cross-section datasets on household level total expenditure and non labour market time in the UK.

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What this paper is about

This paper make straightforward extensions to Anderson's (1996) nonparametric statistical tests of stochastic dominance criteria to bivariate distributions. These test are applied to a time series of cross-section datasets on household level total expenditure and non labour market time in the UK.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper make straightforward extensions to Anderson's (1996) nonparametric statistical tests of stochastic dominance criteria to bivariate distributions. These test are applied to a time series of cross-section datasets on household level total expenditure and non labour market time in the UK.

Key concepts: Bivariate analysis, Stochastic dominance, Nonparametric statistics, Econometrics, Dominance (genetics), Statistics, Mathematics, Bivariate data

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