This paper introduces some relatively straightforward computational tools for estimating poverty measures from the sort of data that are typically available from published sources. All that is required for using these tools is an elementary regression package. The methodology also easily lends itself to a number of poverty simulations, some of which are discussed. The paper addresses the central question: How do we construct poverty measures from grouped data on consumption and income? Two broad approaches can be identified: simple interpolation methods and methods based on parameterized Lorenz curves. The paper briefly describes the two approaches and discusses why the second may be considered preferable.
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Paper provided by International Food Policy Research Institute (IFPRI) in its series FCND discussion papers with number
50.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
de la Briere, Benedicte & de Janvry, Alain & Lambert, Sylvie & Sadoulet, Elisabeth, 1997.
"Why do migrants remit?,"
FCND discussion papers
37, International Food Policy Research Institute (IFPRI).
[Downloadable!]
Quisumbing, Agnes R. & Haddad, Lawrence James & Peña, Christine, 1995.
"Gender and poverty,"
FCND discussion papers
9, International Food Policy Research Institute (IFPRI).
[Downloadable!]
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