Multidimensional Poverty Index — Economic Framework
Economic Framework
The Multidimensional Poverty Index (MPI) offers a robust and comprehensive framework for understanding poverty, moving beyond the traditional focus on income alone. Developed by the Oxford Poverty and Human Development Initiative (OPHI) and the United Nations Development Programme (UNDP), and adapted for India by NITI Aayog, the MPI identifies poverty at the individual level by assessing simultaneous deprivations across three critical dimensions: Health, Education, and Living Standards.
Each of these dimensions is equally weighted (1/3). Within these dimensions, ten specific indicators are measured, each with precise deprivation thresholds. For Health, the indicators are Nutrition, Child & Adolescent Mortality, and Antenatal Care.
Education is measured by Years of Schooling and School Attendance. Living Standards encompasses Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, and Assets. A household is considered deprived in an indicator if it fails to meet the specified threshold (e.
g., using solid cooking fuel, no household member completing six years of schooling). The MPI employs a 'dual cutoff' methodology: first, identifying deprivation in each indicator, and second, identifying a household as multidimensionally poor if it is deprived in at least one-third of the weighted indicators.
The overall MPI value is then calculated as the product of the Headcount Ratio (the proportion of the population that is multidimensionally poor) and the Intensity of Deprivation (the average proportion of weighted deprivations suffered by the poor).
This method, known as the Alkire-Foster method, provides a nuanced picture, revealing not just the incidence of poverty but also its depth and composition. In India, the National MPI uses data from the National Family Health Survey (NFHS) to track progress, with NITI Aayog releasing periodic reports that highlight national and state-level trends, crucial for targeted policy interventions and monitoring progress towards Sustainable Development Goal 1.
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Important Differences
vs Income Poverty Line
| Aspect | This Topic | Income Poverty Line |
|---|---|---|
| Definition | Multidimensional Poverty Index (MPI): Identifies poverty based on simultaneous deprivations across multiple dimensions (health, education, living standards). | Income Poverty Line: Identifies poverty based on a household's income or consumption falling below a predefined monetary threshold. |
| Dimensions Measured | MPI: Three dimensions (Health, Education, Living Standards) with 10 indicators. | Income Poverty Line: One dimension (monetary resources/consumption). |
| Unit of Analysis | MPI: Household/individual level, identifying specific deprivations. | Income Poverty Line: Household/individual level, based on aggregated income/consumption. |
| Data Source | MPI: National Family Health Survey (NFHS) in India, Demographic and Health Surveys (DHS) globally. | Income Poverty Line: National Sample Survey Office (NSSO) consumption expenditure surveys in India. |
| Policy Usefulness | MPI: Enables targeted policy interventions by revealing 'how' people are poor (e.g., lack of sanitation, no electricity). | Income Poverty Line: Useful for broad welfare programs and identifying the overall number of monetary poor. |
| Limitations | MPI: Data lag, subjectivity in indicator/threshold selection, doesn't directly measure income. | Income Poverty Line: Fails to capture non-monetary deprivations, doesn't show the 'how' of poverty, sensitive to price fluctuations. |
vs Human Development Index (HDI)
| Aspect | This Topic | Human Development Index (HDI) |
|---|---|---|
| Purpose | MPI: Measures acute multidimensional poverty at the individual/household level, identifying specific deprivations. | HDI: Measures overall human development at the national level, providing a broad overview of a country's progress. |
| Dimensions | MPI: Health, Education, Living Standards (3 dimensions, 10 indicators). | HDI: Long and healthy life, Knowledge, Decent standard of living (3 dimensions, 4 indicators). |
| Methodology | MPI: Alkire-Foster method, dual cutoff, identifies individuals as poor based on weighted deprivations. | HDI: Geometric mean of normalized indices for each dimension, aggregates national averages. |
| Unit of Measurement | MPI: Deprivation scores, headcount ratio, intensity of deprivation. | HDI: Index value between 0 and 1. |
| Data Granularity | MPI: Highly disaggregated (state, district, sub-district levels), identifies specific deprivations. | HDI: National level, does not identify individual or sub-national disparities. |
| Policy Implications | MPI: Guides targeted interventions to address specific deprivations (e.g., sanitation, electricity). | HDI: Provides a broad indicator for national policy focus areas (e.g., improving overall education or health outcomes). |