Multidimensional Poverty Measurement and Analysis: Chapter 10 - Some Regression Models for AF Measures

Sabina Alkire, James Foster (), Suman Seth (), Maria Emma Santos, Jose M. Roche and Paola Ballon

No 91, OPHI Working Papers from Queen Elizabeth House, University of Oxford

Abstract: Chapter 10 provides the reader with a general modelling framework for analysing the determinants of poverty measures presented in Chapter 5 for both micro and macro levels of analyses. At the micro level, we present a model where the focal variable is a person’s poverty status. At the macro level we present a model where the focal variable is an overall poverty measure like the poverty headcount ratio or the adjusted headcount ratio. The chapter presents these regression models within the structure of Generalised Linear Models (GLM's), which allow accounting for the bounded and discrete variables. GLMs encompass linear regression models, logit and probit models, and models for fractional data. Thus, they offer a general framework for our analysis of functional relationships with AF measures presented in Chapter 5.

Date: 2015-03
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