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Sankhya B

, Volume 80, Issue 2, pp 305–340 | Cite as

Dynamic Measurement of Poverty: Modeling and Estimation

  • Guglielmo D’Amico
  • Philippe Regnault
Article
  • 16 Downloads

Abstract

This study presents a model of income evolution from which dynamic versions of commonly used static poverty measures are derived. The dynamic indexes are calculated both for finite- and infinite-size economic systems. Probabilistic convergence results prove that the infinite-size system can be conveniently used to approximate the finite-size system in an effective way. Secondly, poverty indexes estimation based on micro-data are discussed under different sampling schemes and it is proved that they are strongly consistent. A hypothetical example is used to show the dynamic evolution of the poverty and the estimation methodologies.

Keywords and phrases.

Markov process Population dynamic Nonparametric estimation Micro-data 

AMS (2000) subject classification.

Primary 60J25 Secondary 91B82 

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Copyright information

© Indian Statistical Institute 2018

Authors and Affiliations

  1. 1.Dipartimento di FarmaciaUniversitá “G. D’Annunzio”ChietiItaly
  2. 2.Laboratoire de Mathématiques de Reims, EA4535Université de Reims Champagne-ArdenneReimsFrance

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