Talk:Multidimensional Poverty Index

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Dear All,

First of all I appreciate the new MPI approaches which really reflects the real situation in many developing countries in terms of welfare of the society. I would like to share my previous experience that I used the same procedure some 5 years ago for Ethiopia which complimented by in-depth analysis using the 2000 Ethiopian DHS data for my personal research works not yet published. If I got an opportunity to share the research paper, I am willing and happy. Let me know how to share it. But, the executive summary part is pasted here with it.

Correlates of Poverty in Ethiopia: Using Non-Monetory Approach By Elias Abdosh Mohammed Statistician Demographer Email: Addis Ababa,Ethiopia

Abstract This paper presents an analysis of the relationship between correlates such as demographic, socioeconomic and geographic characteristics and poverty in Ethiopia using the 2000 Demographic and Health Survey (DHS) data. The objective of this work was to explore the correlates of poverty using non-monetary approach and to see the interrelationship between population and poverty from several perspectives. The overall impression given by this study was analyzing the demographic dimensions of poverty among women of reproductive ages that were interviewed in 2000 Ethiopian Demographic and Health Survey (DHS). Factor analysis was employed for classification of the household’s well-being status that attributes into poor and non-poor. To determine the well-being of individual households, both variables of household amenities and demographic characteristics of households included in the construction of asset indexes and defining wealth quintiles. The study included a total sample of 3,131women respondents of aged 14-49 years at the time of the survey. For the analysis both bivariate cross tabulations and multivariate logistic regression methods were employed.

The result of the analysis has shown that there were substantial variations in socioeconomic status of women households in Ethiopia. Therefore, this paper sought to analyze the role of various demographic and socioeconomic variables affecting the well being of the households in Ethiopia. The summary of key findings from the analysis has several policy implications. Clearly, the household size, sex of household heads, place of residence, education level, and working status of respondents have significantly affects the well being of households. These findings have also policy implications at macro-level. Sustained economic growth is essential to eradicate poverty. Integrating population concerns fully into all aspects of development planning at all levels would bring sustainable economic growth that results in meeting the needs and improve the quality of life of present and future generations.

Therefore, this study recommends that educating women, strengthening the capacity of development practitioner that ensures the effectiveness of community based development programme and enhancing the women’s participation in development businesses have become vital for reducing the poverty situation at household level

Regards, Elias