Abstract

The persistency of poverty around the world is one of the most serious problems that humanity has to face, so in order to arise awareness, it is essential that the measurement of such problem is improved. These improvements also give the incentive to carry out motivating actions, design good policies, gauging progress, and enable holding political leaders accountable for meeting targets. To help make this possible, we provide an examination of how poverty is currently measured, bringing together evidence on the nature and extent of poverty in 91 countries around the world. This article presents research using the Rasch model, an inductive method which uses a synthetic-analytical process. This method enables us to provide a comparison of poverty among countries and identifies the main factors that contribute to it.

Highlights

  • There are several methods that measure poverty, taking into account variables such as income, household living standards, and access to basic services, among others

  • This additional information provided by the Rasch model, concerning how health, education, and standards of living affect poverty levels, can uncover why countries are in their current position and how they could improve their situation by enacting with policies that could bring solid progress in these fields

  • Starting from the latent variable studied, calculated by United Nations Development Program (UNDP) according to the three mentioned items, with regard to the unidimensionality required by this technique, the items that affect the latent variable, and the measuring instrument, present an underlying latent single rank

Read more

Summary

Introduction

There are several methods that measure poverty, taking into account variables such as income, household living standards, and access to basic services, among others All of these methods present strengths and weaknesses, meaning that they need to be adapted to the objectives implemented in the planned study. We will be able to define which factors most affect poverty for each country according to three selected factors: Health, education, and standard of living (step two) This additional information provided by the Rasch model, concerning how health, education, and standards of living affect poverty levels, can uncover why countries are in their current position and how they could improve their situation by enacting with policies that could bring solid progress in these fields

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.