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 commo...
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Autor*in:	Mehdi, Tahsin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Übergeordnetes Werk:	Enthalten in: Econometrics - Basel : MDPI, 2013, 8(2020), 1/5 vom: März, Seite 1-5
Übergeordnetes Werk:	volume:8 ; year:2020 ; number:1/5 ; month:03 ; pages:1-5

Links:	Link aufrufen Link aufrufen Link aufrufen Terms of use

DOI / URN:	10.3390/econometrics8010005

Katalog-ID:	1690020059

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allfields	10.3390/econometrics8010005 doi 10419/247553 hdl (DE-627)1690020059 (DE-599)KXP1690020059 DE-627 ger DE-627 rda eng C01 C12 I32 jelc Mehdi, Tahsin verfasserin aut Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Enthalten in Econometrics Basel : MDPI, 2013 8(2020), 1/5 vom: März, Seite 1-5 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:8 year:2020 number:1/5 month:03 pages:1-5 https://www.mdpi.com/2225-1146/8/1/5/pdf Verlag kostenfrei https://doi.org/10.3390/econometrics8010005 Resolving-System kostenfrei http://hdl.handle.net/10419/247553 Resolving-System kostenfrei https://creativecommons.org/licenses/by/4.0/ Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2020 1/5 3 1-5 26 01 0206 3595298942 x1z 14-02-20 2403 01 DE-LFER 3597132561 00 --%%-- --%%-- n --%%-- l01 20-02-20 2403 01 DE-LFER https://doi.org/10.3390/econometrics8010005 2403 01 DE-LFER https://www.mdpi.com/2225-1146/8/1/5/pdf 26 00 DE-206 56 bootstrap inference 26 00 DE-206 56 common poverty line 26 00 DE-206 56 pooled quantile 26 00 DE-206 56 relative poverty line 26 00 DE-206 56 stochastic dominance
spelling	10.3390/econometrics8010005 doi 10419/247553 hdl (DE-627)1690020059 (DE-599)KXP1690020059 DE-627 ger DE-627 rda eng C01 C12 I32 jelc Mehdi, Tahsin verfasserin aut Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Enthalten in Econometrics Basel : MDPI, 2013 8(2020), 1/5 vom: März, Seite 1-5 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:8 year:2020 number:1/5 month:03 pages:1-5 https://www.mdpi.com/2225-1146/8/1/5/pdf Verlag kostenfrei https://doi.org/10.3390/econometrics8010005 Resolving-System kostenfrei http://hdl.handle.net/10419/247553 Resolving-System kostenfrei https://creativecommons.org/licenses/by/4.0/ Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2020 1/5 3 1-5 26 01 0206 3595298942 x1z 14-02-20 2403 01 DE-LFER 3597132561 00 --%%-- --%%-- n --%%-- l01 20-02-20 2403 01 DE-LFER https://doi.org/10.3390/econometrics8010005 2403 01 DE-LFER https://www.mdpi.com/2225-1146/8/1/5/pdf 26 00 DE-206 56 bootstrap inference 26 00 DE-206 56 common poverty line 26 00 DE-206 56 pooled quantile 26 00 DE-206 56 relative poverty line 26 00 DE-206 56 stochastic dominance
allfields_unstemmed	10.3390/econometrics8010005 doi 10419/247553 hdl (DE-627)1690020059 (DE-599)KXP1690020059 DE-627 ger DE-627 rda eng C01 C12 I32 jelc Mehdi, Tahsin verfasserin aut Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Enthalten in Econometrics Basel : MDPI, 2013 8(2020), 1/5 vom: März, Seite 1-5 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:8 year:2020 number:1/5 month:03 pages:1-5 https://www.mdpi.com/2225-1146/8/1/5/pdf Verlag kostenfrei https://doi.org/10.3390/econometrics8010005 Resolving-System kostenfrei http://hdl.handle.net/10419/247553 Resolving-System kostenfrei https://creativecommons.org/licenses/by/4.0/ Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2020 1/5 3 1-5 26 01 0206 3595298942 x1z 14-02-20 2403 01 DE-LFER 3597132561 00 --%%-- --%%-- n --%%-- l01 20-02-20 2403 01 DE-LFER https://doi.org/10.3390/econometrics8010005 2403 01 DE-LFER https://www.mdpi.com/2225-1146/8/1/5/pdf 26 00 DE-206 56 bootstrap inference 26 00 DE-206 56 common poverty line 26 00 DE-206 56 pooled quantile 26 00 DE-206 56 relative poverty line 26 00 DE-206 56 stochastic dominance
allfieldsGer	10.3390/econometrics8010005 doi 10419/247553 hdl (DE-627)1690020059 (DE-599)KXP1690020059 DE-627 ger DE-627 rda eng C01 C12 I32 jelc Mehdi, Tahsin verfasserin aut Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Enthalten in Econometrics Basel : MDPI, 2013 8(2020), 1/5 vom: März, Seite 1-5 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:8 year:2020 number:1/5 month:03 pages:1-5 https://www.mdpi.com/2225-1146/8/1/5/pdf Verlag kostenfrei https://doi.org/10.3390/econometrics8010005 Resolving-System kostenfrei http://hdl.handle.net/10419/247553 Resolving-System kostenfrei https://creativecommons.org/licenses/by/4.0/ Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2020 1/5 3 1-5 26 01 0206 3595298942 x1z 14-02-20 2403 01 DE-LFER 3597132561 00 --%%-- --%%-- n --%%-- l01 20-02-20 2403 01 DE-LFER https://doi.org/10.3390/econometrics8010005 2403 01 DE-LFER https://www.mdpi.com/2225-1146/8/1/5/pdf 26 00 DE-206 56 bootstrap inference 26 00 DE-206 56 common poverty line 26 00 DE-206 56 pooled quantile 26 00 DE-206 56 relative poverty line 26 00 DE-206 56 stochastic dominance
allfieldsSound	10.3390/econometrics8010005 doi 10419/247553 hdl (DE-627)1690020059 (DE-599)KXP1690020059 DE-627 ger DE-627 rda eng C01 C12 I32 jelc Mehdi, Tahsin verfasserin aut Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Enthalten in Econometrics Basel : MDPI, 2013 8(2020), 1/5 vom: März, Seite 1-5 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:8 year:2020 number:1/5 month:03 pages:1-5 https://www.mdpi.com/2225-1146/8/1/5/pdf Verlag kostenfrei https://doi.org/10.3390/econometrics8010005 Resolving-System kostenfrei http://hdl.handle.net/10419/247553 Resolving-System kostenfrei https://creativecommons.org/licenses/by/4.0/ Verlag Terms of use GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 8 2020 1/5 3 1-5 26 01 0206 3595298942 x1z 14-02-20 2403 01 DE-LFER 3597132561 00 --%%-- --%%-- n --%%-- l01 20-02-20 2403 01 DE-LFER https://doi.org/10.3390/econometrics8010005 2403 01 DE-LFER https://www.mdpi.com/2225-1146/8/1/5/pdf 26 00 DE-206 56 bootstrap inference 26 00 DE-206 56 common poverty line 26 00 DE-206 56 pooled quantile 26 00 DE-206 56 relative poverty line 26 00 DE-206 56 stochastic dominance
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topic_title	C01 C12 I32 jelc 26 00 DE-206 56 bootstrap inference 26 00 DE-206 56 common poverty line 26 00 DE-206 56 pooled quantile 26 00 DE-206 56 relative poverty line 26 00 DE-206 56 stochastic dominance Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi
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title	Testing for stochastic dominance up to a common relative poverty line
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title_full	Testing for stochastic dominance up to a common relative poverty line Tahsin Mehdi
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title_sort	testing for stochastic dominance up to a common relative poverty line
title_auth	Testing for stochastic dominance up to a common relative poverty line
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Testing for stochastic dominance up to a common relative poverty line
url	https://www.mdpi.com/2225-1146/8/1/5/pdf https://doi.org/10.3390/econometrics8010005 http://hdl.handle.net/10419/247553 https://creativecommons.org/licenses/by/4.0/
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score	7.167742

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Testing for stochastic dominance up to a common relative poverty line

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