Artikel

Testing for stochastic dominance up to a common relative poverty line

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.

Language
Englisch

Bibliographic citation
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 8 ; Year: 2020 ; Issue: 1 ; Pages: 1-5 ; Basel: MDPI

Classification
Wirtschaft
Econometrics
Hypothesis Testing: General
Measurement and Analysis of Poverty
Subject
bootstrap inference
common poverty line
pooled quantile
relative poverty line
stochastic dominance

Event
Geistige Schöpfung
(who)
Mehdi, Tahsin
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2020

DOI
doi:10.3390/econometrics8010005
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Mehdi, Tahsin
  • MDPI

Time of origin

  • 2020

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