DRDECOMP: Stata module to estimate Shapley value of growth and distribution components of changes in poverty indicators

February 21, 2019 · View on GitHub

drdecomp implements the shapley value of the Datt and Ravallion (1992) decomposition of changes in a welfare indicator into growth and distribution, however, following the shapley and non parametric methodology suggested by Shorrocks (1999/2012) and Kolenikov and Shorrocks (2003). For examples of applications please see Azevedo and Sanfelice (2012) and Ferreira et al (2012).

Suggested Citation

Joao Pedro Azevedo & Andres Castaneda & Viviane Sanfelice, 2012. "DRDECOMP: Stata module to estimate Shapley value of growth and distribution components of changes in poverty indicators," Statistical Software Components S457563, Boston College Department of Economics.

Handle: RePEc:boc:bocode:s457563

Note:

This module should be installed from within Stata by typing "ssc install drdecomp". Windows users should not attempt to download these files with a web browser.

References

Azevedo, Joao Pedro and Viviane Sanfelice (2012) "The rise of the middle class in Latin America". World Bank (mimeo).

Ferreira, Francisco H.G.; Messina, Julian; Rigolini, Jamele; L?pez-Calva, Luis-Felipe; Lugo, Maria Ana; Vakis, Renos. (2013) Economic Mobility and the Rise of the Latin American Middle Class. Washington, DC: World Bank. (link to publication)

Datt, G.; Ravallion, M. (1992) Growth and Redistribution Components of Changes in Poverty Measures: A Decomposition with Applications to Brazil and India in the 1980s. Journal of Development Economics, 38: 275-296.

Shorrocks, A. F. (2012) Decomposition procedures for distributional analysis: a unified framework based on the Shapley value. Journal of Economic Inequality.

Shorrocks, A.; Kolenikov, S. (2003) A Decomposition Analysis of Regional Poverty in Russia, Discussion Paper No. 2003/74 United Nations University.

World Bank (2011) On The Edge Of Uncertainty: Poverty Reduction in Latin America and the Caribbean during the Great Recession and Beyond. LAC Poverty and Labor Brief. World Bank: Washington DC. (link to publication)

Keywords

Shapley decomposition; welfare measure;

Authors:

Viviane Sanfelice

Andres Castanedas
World Bank

João Pedro Azevedo
jazevedo@worldbank.org
World Bank
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