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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.<\/jats:p>","DOI":"10.1002\/jae.2595","type":"journal-article","created":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T12:14:24Z","timestamp":1504181664000},"page":"473-478","source":"Crossref","is-referenced-by-count":2,"title":["Comparing cross\u2010country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets"],"prefix":"10.1002","volume":"33","author":[{"given":"Andrew C.","family":"Chang","sequence":"first","affiliation":[{"name":"Board of Governors of the Federal Reserve System  Washington DC 20551 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phillip","family":"Li","sequence":"additional","affiliation":[{"name":"Office of Financial Research  Washington DC 20220 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shawn M.","family":"Martin","sequence":"additional","affiliation":[{"name":"Department of Economics University of Michigan  Ann Arbor MI 48109 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,8,31]]},"reference":[{"issue":"1","key":"e_1_2_7_2_1","first-page":"109","article-title":"Maximum likelihood estimation of Lorenz curves using alternative parametric model","volume":"1","author":"Abdalla I. 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