Housing, imputed rent, and household welfare
Autor*in: |
Ceriani, Lidia [verfasserIn] Olivieri, Sergio [verfasserIn] Ranzani, Marco [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of economic inequality - New York : Springer US, 2003, 21(2023), 1 vom: März, Seite 131-168 |
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Übergeordnetes Werk: |
volume:21 ; year:2023 ; number:1 ; month:03 ; pages:131-168 |
Links: |
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DOI / URN: |
10.1007/s10888-022-09545-7 |
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Katalog-ID: |
1845269721 |
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982 | |2 26 |1 00 |x DE-206 |b Housing is the most important durable good consumed by households. This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources. |
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10.1007/s10888-022-09545-7 doi (DE-627)1845269721 (DE-599)KXP1845269721 (DE-He213)s10888-022-09545-7-e DE-627 ger DE-627 rda eng Ceriani, Lidia verfasserin (DE-588)1249081645 (DE-627)1785330012 aut Housing, imputed rent, and household welfare Lidia Ceriani, Sergio Olivieri, Marco Ranzani 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inequality (dpeaa)DE-206 Poverty measurement (dpeaa)DE-206 Ranking (dpeaa)DE-206 Rent imputation (dpeaa)DE-206 Shared prosperity (dpeaa)DE-206 Olivieri, Sergio verfasserin (DE-588)1206944528 (DE-627)1693180154 aut Ranzani, Marco verfasserin (DE-588)117643893X (DE-627)1047434156 (DE-576)516627392 aut Enthalten in Journal of economic inequality New York : Springer US, 2003 21(2023), 1 vom: März, Seite 131-168 Online-Ressource (DE-627)359787762 (DE-600)2098448-0 (DE-576)121466760 1573-8701 nnns volume:21 year:2023 number:1 month:03 pages:131-168 https://link.springer.com/article/10.1007/s10888-022-09545-7 Resolving-System lizenzpflichtig https://doi.org/10.1007/s10888-022-09545-7 Resolving-System lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 21 2023 1 3 131-168 AR 21 2023 1 3 131-168 26 01 0206 4321052823 x1z 12-05-23 26 00 DE-206 Housing is the most important durable good consumed by households. This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources. |
spelling |
10.1007/s10888-022-09545-7 doi (DE-627)1845269721 (DE-599)KXP1845269721 (DE-He213)s10888-022-09545-7-e DE-627 ger DE-627 rda eng Ceriani, Lidia verfasserin (DE-588)1249081645 (DE-627)1785330012 aut Housing, imputed rent, and household welfare Lidia Ceriani, Sergio Olivieri, Marco Ranzani 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Inequality (dpeaa)DE-206 Poverty measurement (dpeaa)DE-206 Ranking (dpeaa)DE-206 Rent imputation (dpeaa)DE-206 Shared prosperity (dpeaa)DE-206 Olivieri, Sergio verfasserin (DE-588)1206944528 (DE-627)1693180154 aut Ranzani, Marco verfasserin (DE-588)117643893X (DE-627)1047434156 (DE-576)516627392 aut Enthalten in Journal of economic inequality New York : Springer US, 2003 21(2023), 1 vom: März, Seite 131-168 Online-Ressource (DE-627)359787762 (DE-600)2098448-0 (DE-576)121466760 1573-8701 nnns volume:21 year:2023 number:1 month:03 pages:131-168 https://link.springer.com/article/10.1007/s10888-022-09545-7 Resolving-System lizenzpflichtig https://doi.org/10.1007/s10888-022-09545-7 Resolving-System lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 21 2023 1 3 131-168 AR 21 2023 1 3 131-168 26 01 0206 4321052823 x1z 12-05-23 26 00 DE-206 Housing is the most important durable good consumed by households. This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources. |
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This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources.</subfield></datafield></record></collection>
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26 00 DE-206 Housing is the most important durable good consumed by households. This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources Housing, imputed rent, and household welfare Lidia Ceriani, Sergio Olivieri, Marco Ranzani Inequality (dpeaa)DE-206 Poverty measurement (dpeaa)DE-206 Ranking (dpeaa)DE-206 Rent imputation (dpeaa)DE-206 Shared prosperity (dpeaa)DE-206 |
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container_issue |
1 |
title_short |
Housing, imputed rent, and household welfare |
url |
https://link.springer.com/article/10.1007/s10888-022-09545-7 https://doi.org/10.1007/s10888-022-09545-7 |
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Olivieri, Sergio Ranzani, Marco |
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doi_str |
10.1007/s10888-022-09545-7 |
up_date |
2024-07-19T08:14:03.346Z |
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code="h">131-168</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4321052823</subfield><subfield code="y">x1z</subfield><subfield code="z">12-05-23</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">Housing is the most important durable good consumed by households. This paper assesses the distributional effects of including the value of the flow of dwelling’s services consumed by households with respect to the case where such value is excluded, testing different estimation methods in four developing countries. Including rental values leads to statistically significant and sizable changes in indicators of poverty and inequality that might also determine an international reranking of countries. This paper advances for the first time a step-by-step guide to the estimation of rental values, using information typically available in household surveys. As housing gains importance with the level of development of countries, accounting for rental values becomes significant in antipoverty programs, which need accurate information to minimize errors of inclusion and exclusion and the potential waste of scarce public resources.</subfield></datafield></record></collection>
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7.3993406 |