Comparing Cross-Country Estimates of Lorenz Curves Using a Dirichlet Distribution Across Estimators and Datasets (JAE 2018)

From ReplicationWiki
Jump to: navigation, search



Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
Andrew C. Chang, Phillip Li, Shawn M. Martin Comparing Cross-Country Estimates of Lorenz Curves Using a Dirichlet Distribution Across Estimators and Datasets JAE 2018 3 473-8 C24, C51, C87, D31 Constrained estimation, Dirichlet, Dirichlet distribution, Gini coefficient, Income distribution, Lorenz curve, Maximum likelihood, Non-linear least squares, Replication, Share data

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
0 - not available online 1 - accessible on journal website 1 - accessible on journal website - - World Bank Povery and Equity Database, http://povertydata.worldbank.org/poverty/home/ Sweden, Brazil -

This article is a replication of

Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement
Duangkamon Chotikapanich, William E Griffiths Estimating Lorenz Curves Using a Dirichlet Distribution J Business & Econ Statistics 2002 2 290-5 C43, C13, D63 Gini coefficient, Maximum likelihood estimation 4 - (new methods & data) 1 - successful - 0 - no -

References

DOI: 10.1002/jae.2595 IDEAS: p/fip/fedgfe/2017-62.html EconPapers: RePEc:fip:fedgfe:2017-62


When last checked on April 12, 2018, this study had not yet been included in the RePEc databases.
Personal tools
Namespaces

Variants
Actions
Navigation
Toolbox