1 / 7

Multidimensional Poverty Comparisons: Italian and Polish Regions (Fuzzy Approach)

This sample meeting in Siena discusses the integrated fuzzy approach for comparing multidimensional poverty between Italian and Polish regions. The study reconsidered the membership function definition based on monetary variables proposed by Cheli and Lemmi (1995) and Betti and Verma (1999). The meeting also explored the relationship between poverty, inequality, and fuzzy monetary measures, along with the definition of membership functions based on monetary variables. The Polish group presented additional indexes of incidence and depth connected with the concept of poverty gap.

jflury
Download Presentation

Multidimensional Poverty Comparisons: Italian and Polish Regions (Fuzzy Approach)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Sample Meeting, Siena – Ottobre 2010 Multidimensional poverty comparisons between the Italian and the Polish reagions an integrated fuzzy approach Achille Lemmi, Tomasz Panek University of Siena – Italy Warsaw School of Economics - Poland

  2. Sample Meeting, Siena – Ottobre 2010 Reconsider the definition of the membership Function based on monetary variables Cheli and Lemmi (1995) Betti and Verma (1999)

  3. Sample Meeting, Siena – Ottobre 2010 Membership functions used by Cheli and Lemmi (1995), and Betti and Verma (1999)

  4. Sample Meeting, Siena – Ottobre 2010 Definition of the membership functionbased on monetary variables  Betti, Cheli Lemmi and Verma (2005, 2006) Where parameter is chosen so that the mean of the m.f. is equal to head count ratio H:

  5. Sample Meeting, Siena – Ottobre 2010 Poverty and inequality  Notice that the Fuzzy Monetary (FM) measure as defined above is expressible in terms of the generalised Gini measures. This family of measures (often referred to as "s-Gini") is a generalisation of the standard Gini coefficient, the latter corresponding to G with =1. It is defined (in the continuous case) as: Betti, Cheli Lemmi and Verma (2006) define it as “Integrated Fuzzy and Relative” (IFR)

  6. Sample Meeting, Siena – Ottobre 2010 Monetary and Supplementary Fuzzy Indexes of incidence and depth The Polish group coordinated by Prof. Panek has defined further indexes of incidence and depth both connected with the concept of poverty gap.

More Related