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  • Statistics In Transition

 

Article | 06-July-2017

A COMPARISON OF SMALL AREA ESTIMATION METHODS FOR POVERTY MAPPING

María Guadarrama, Isabel Molina, J. N. K. Rao

Statistics in Transition New Series, Volume 17 , ISSUE 1, 41–66

Article | 15-September-2020

A general Bayesian approach to meet different inferential goals in poverty research for small areas

Poverty mapping that displays spatial distribution of various poverty indices is most useful to policymakers and researchers when they are disaggregated into small geographic units, such as cities, municipalities or other administrative partitions of a country. Typically, national household surveys that contain welfare variables such as income and expenditures provide limited or no data for small areas. It is well-known that while direct survey-weighted estimates are quite reliable for national

Partha Lahiri, Jiraphan Suntornchost

Statistics in Transition New Series, Volume 21 , ISSUE 4, 237–253

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