Transcription of Computing Poverty measures with R vs. Stata …
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Computing Poverty measures with R vs. Stata …
Computing Poverty measures with R vs. Stata Rosendo Ramirez and Darryl McLeod Professor Vinod R-Group presentation, May 1, 2014 Fordham University E-530 Dealy 12 noon Outline of Presentation 1. Accessing survey data in R and Stata , Peru has a survey of about 25,000 persons, a longitudinal panel, 2007 to 2011. We are using the 2011 survey data, reading it first into Stata (it is published in Stata format by the Peruvian ..???) 2. To make the survey same representative of the 30 million people in Peru, we have to weight each family by its relative prevalence in the national population. This weight scheme is accomplished by svyset in Stata and, more or less, by a subroutine called svydesign in R. 3. We also use a program called sepov to computer p(0), p(1) and p(2) three standard Poverty measures derived from the Foster-Greer-Thorbeke or FGT Poverty index.
Background note on the FGT poverty and severity measures: the headcount or H or p(0) or the poverty gap (H*I where I has distance below the poverty line of …
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