Comparing cross-country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets
Chotikapanich and Griffiths (Journal of Business and Economic Statistics, 2002, 20(2), 290–295) introduced the Dirichlet distribution to the estimation of Lorenz curves. This distribution naturally accommodates the proportional nature of income share data and the dependence structure between the sha...
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Veröffentlicht in: | Journal of applied econometrics (Chichester, England) England), 2018-04, Vol.33 (3), p.473-478 |
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description | Chotikapanich and Griffiths (Journal of Business and Economic Statistics, 2002, 20(2), 290–295) introduced the Dirichlet distribution to the estimation of Lorenz curves. This distribution naturally accommodates the proportional nature of income share data and the dependence structure between the shares. Chotikapanich and Griffiths fit a family of five Lorenz curves to one year of Swedish and Brazilian income share data using unconstrained maximum likelihood and unconstrained nonlinear least squares. We attempt to replicate the authors’ results and extend their analyses using both constrained estimation techniques and five additional years of data. We successfully replicate a majority of the authors' results and find that some of their main qualitative conclusions also hold using our constrained estimators and additional data. |
doi_str_mv | 10.1002/jae.2595 |
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We successfully replicate a majority of the authors' results and find that some of their main qualitative conclusions also hold using our constrained estimators and additional data.</description><subject>Dirichlet problem</subject><subject>Econometrics</subject><subject>Economic models</subject><subject>Economic statistics</subject><subject>Estimators</subject><subject>Income</subject><subject>Lorenz Curve</subject><subject>Qualitative analysis</subject><subject>REPLICATION</subject><issn>0883-7252</issn><issn>1099-1255</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp10M1LwzAYBvAgCs4p-A8IAS9eOt8ky0ePY84vBl70HNI21ZatqUmqzL_edlVvngLhx_M-PAidE5gRAHpdGzujPOUHaEIgTRNCOT9EE1CKJZJyeoxOQqgBQADICWqXbtsaXzWvOPcuhCR3XRP9DtsQq62JNmBX4rXztvnCeec_-o8uDNzgm8pX-dvGRlxUIfoq62LlGmz2Qb8BzgdsmgIXJppgYzhFR6XZBHv2807Ry-3qeXmfrJ_uHpaLdZIzRXmihASSMkGgUNxktMxySVgqSkaYKZRRzKpsLqUyEgrJuRViDtTMM0tNyplkU3Q55rbevXd9GV27zjf9SU2BMk6JUIO6GtW-s7elbn3f2u80AT3sqfs99bBnT5ORflYbu_vX6cfF6sdfjL4O_Qh_ngoBqeKKfQOpnoEg</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Chang, Andrew C.</creator><creator>Li, Phillip</creator><creator>Martin, Shawn M.</creator><general>Wiley (Variant)</general><general>Wiley Periodicals Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>JQ2</scope></search><sort><creationdate>201804</creationdate><title>Comparing cross-country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets</title><author>Chang, Andrew C. ; Li, Phillip ; Martin, Shawn M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3825-8670193610d85ab2fbc71396f313ad8a83e8b4778a70d755e66402a4be2a95373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Dirichlet problem</topic><topic>Econometrics</topic><topic>Economic models</topic><topic>Economic statistics</topic><topic>Estimators</topic><topic>Income</topic><topic>Lorenz Curve</topic><topic>Qualitative analysis</topic><topic>REPLICATION</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Andrew C.</creatorcontrib><creatorcontrib>Li, Phillip</creatorcontrib><creatorcontrib>Martin, Shawn M.</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Journal of applied econometrics (Chichester, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Andrew C.</au><au>Li, Phillip</au><au>Martin, Shawn M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparing cross-country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets</atitle><jtitle>Journal of applied econometrics (Chichester, England)</jtitle><date>2018-04</date><risdate>2018</risdate><volume>33</volume><issue>3</issue><spage>473</spage><epage>478</epage><pages>473-478</pages><issn>0883-7252</issn><eissn>1099-1255</eissn><abstract>Chotikapanich and Griffiths (Journal of Business and Economic Statistics, 2002, 20(2), 290–295) introduced the Dirichlet distribution to the estimation of Lorenz curves. 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subjects | Dirichlet problem Econometrics Economic models Economic statistics Estimators Income Lorenz Curve Qualitative analysis REPLICATION |
title | Comparing cross-country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets |
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