National Multidimensional Poverty Index 2010 - 2015
Armenia, 2010 - 2015
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Reference ID
ARM_2010-2015_MPI_v01_M
Producer(s)
World Bank, National Statistical Service of the Republic of Armenia
Collection(s)
Metadata
Created on
Sep 27, 2017
Last modified
Sep 27, 2017
Page views
24873
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Identification
Survey ID Number
ARM_2010-2015_MPI_v01_M
Title
National Multidimensional Poverty Index 2010 - 2015
Country/Economy
| Name | Country code |
|---|---|
| Armenia | ARM |
Abstract
The most recent estimate of monetary poverty in Armenia found that nearly 30 percent of the population lives below the national poverty threshold. However, because the Armenian social protection system provides some, though limited, basic support, monetary measures provide only a partial picture of the negative effects of poverty on well-being and the lack of positive capabilities.
In 2013, the National Statistical Service of the Republic of Armenia and the World Bank began work on a national measure of multidimensional poverty to supplement the consumption poverty indicator. This measure, which was identified through consultations with many stakeholders in Armenia, reflects deprivations specific to Armenia in the areas of education, health, labor, housing conditions, and basic needs. The approach offers insights into the complexity, depth, and persistence of poverty in the country; tailoring it specifically to the country context enhances its relevance for policy.
The national measure of multidimensional poverty for Armenia uses the Alkire-Foster approach.This tailored measure is not intended to be used in international comparisons; it is simply representative of the country and its specific development challenges. For every multidimensional measure, the dimensions, weights, and a method for aggregation must be selected.
The first step in constructing the measure of multidimensional poverty is to select dimensions that reflect achievements or deprivations. These indicators complement the national monetary poverty measure with information that better captures nonmonetary aspects of well-being. The primary dimensions of the measure are basic needs, housing, education, labor, and health.
The datasets documented here include 2010-2015 national multidimensional poverty indices, constructed using Armenia Integrated Living Conditions Survey (ILCS) data from 2010 to 2015.
In 2013, the National Statistical Service of the Republic of Armenia and the World Bank began work on a national measure of multidimensional poverty to supplement the consumption poverty indicator. This measure, which was identified through consultations with many stakeholders in Armenia, reflects deprivations specific to Armenia in the areas of education, health, labor, housing conditions, and basic needs. The approach offers insights into the complexity, depth, and persistence of poverty in the country; tailoring it specifically to the country context enhances its relevance for policy.
The national measure of multidimensional poverty for Armenia uses the Alkire-Foster approach.This tailored measure is not intended to be used in international comparisons; it is simply representative of the country and its specific development challenges. For every multidimensional measure, the dimensions, weights, and a method for aggregation must be selected.
The first step in constructing the measure of multidimensional poverty is to select dimensions that reflect achievements or deprivations. These indicators complement the national monetary poverty measure with information that better captures nonmonetary aspects of well-being. The primary dimensions of the measure are basic needs, housing, education, labor, and health.
The datasets documented here include 2010-2015 national multidimensional poverty indices, constructed using Armenia Integrated Living Conditions Survey (ILCS) data from 2010 to 2015.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- household
Version
Version Description
v01, edited datasets for public distribution
The datasets include Multidimensional Poverty Index for Armenia, constructed using Integrated Living Conditions Survey (ILCS) data from 2010 to 2015. The variables describe household level information on deprivations at the indicator and dimension levels as well as the overall status of multidimensional poverty.
The definition of each variable is available in Data Dictionary tab, after selecting a dataset and clicking on a variable, or in "Annex 3. Construction of Deprivations" in "The Many Faces of Deprivation: A Multidimensional Approach to Poverty in Armenia" report, attached as an external resource.
The datasets include Multidimensional Poverty Index for Armenia, constructed using Integrated Living Conditions Survey (ILCS) data from 2010 to 2015. The variables describe household level information on deprivations at the indicator and dimension levels as well as the overall status of multidimensional poverty.
The definition of each variable is available in Data Dictionary tab, after selecting a dataset and clicking on a variable, or in "Annex 3. Construction of Deprivations" in "The Many Faces of Deprivation: A Multidimensional Approach to Poverty in Armenia" report, attached as an external resource.
Scope
Notes
The study includes indicators on:
- basic needs,
- housing,
- education,
- labor,
- health.
- basic needs,
- housing,
- education,
- labor,
- health.
Coverage
Geographic Coverage
National, urban-rural-Yerevan levels
Producers and sponsors
Primary investigators
| Name |
|---|
| World Bank |
| National Statistical Service of the Republic of Armenia |
Funding Agency/Sponsor
| Name |
|---|
| World Bank |
Sampling
Sampling Procedure
Each year Integrated Living Conditions Survey (ILCS) interviews more than 5,000 households; is representative at the regional level (marz level, which corresponds to the NUTS 3 regions); and provides comparable data starting from the early 2000s.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2010 | 2015 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
The Integrated Living Conditions Survey (ILCS) asks about education, labor market outcomes, health behavior, and living conditions of households and individuals. It also collects detailed data on consumption behavior and is used to calculate Armenia's official poverty rate. Since the measure of multidimensional poverty is meant to complement the analysis of consumption poverty, using the same survey instrument is crucial. On the other hand, a serious drawback of using existing rather than new data-constructing the measure on multidimensional poverty is limited by the ILCS information available.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Moritz Meyer | GPV03 - Poverty GP ECA, World Bank | mmeyer3@worldbank.org |
| Osman Kaan Inan | GPV03 - Poverty GP ECA, World Bank | oinan@worldbank.org |
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
World Bank, National Statistical Service of the Republic of Armenia. Armenia National Multidimensional Poverty Index (MPI) 2010 - 2015, Ref. ARM_2010-2015_MPI_v01_M. Dataset downloaded from [URL] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
World Bank, National Statistical Service of the Republic of Armenia. Armenia National Multidimensional Poverty Index (MPI) 2010 - 2015, Ref. ARM_2010-2015_MPI_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_ARM_2010-2015_MPI_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | The World Bank | Documentation of the study |
Date of Metadata Production
2017-09-14
DDI Document version
v01 (September 2017)