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Correction: Ardia, D., et al. Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices. Econometrics 2016, 4, 14.
Open AccessArticle

Testing for Stochastic Dominance up to a Common Relative Poverty Line

Department of Economics, Ryerson University, Toronto, ON M5B 2K3, Canada
Econometrics 2020, 8(1), 5; https://doi.org/10.3390/econometrics8010005
Received: 18 October 2019 / Revised: 7 January 2020 / Accepted: 5 February 2020 / Published: 11 February 2020
Although a wide array of stochastic dominance tests exist for poverty measurement and identification, they assume the income distributions have independent poverty lines or a common absolute (fixed) poverty line. We propose a stochastic dominance test for comparing income distributions up to a common relative poverty line (i.e., some fraction of the pooled median). A Monte Carlo study demonstrates its superior performance over existing methods in terms of power. The test is then applied to some Canadian household survey data for illustration.
Keywords: stochastic dominance; common poverty line; relative poverty line; pooled quantile; bootstrap inference stochastic dominance; common poverty line; relative poverty line; pooled quantile; bootstrap inference
MDPI and ACS Style

Mehdi, T. Testing for Stochastic Dominance up to a Common Relative Poverty Line. Econometrics 2020, 8, 5.

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