In the field of development economics, few debates are as fundamental as how we define and measure poverty. For decades, researchers and policymakers have grappled with the limitations of income-based poverty measures, leading to the emergence of multidimensional approaches that capture the various deprivations people face across health, education, and living standards.
In a forthcoming Journal of Development Studies paper, “Multidimensional poverty: a new perspective on measurement,” we challenge the very foundations of how we currently measure multidimensional poverty, arguing that existing approaches fundamentally misunderstand what poverty is.
The problem with current approaches
In the paper, we tackle a critical flaw in contemporary poverty measurement: the conflation of poverty with capability deprivation. While influential frameworks, such as the United Nations’ Multidimensional Poverty Index (MPI) and the widely used Alkire-Foster methodology, focus on identifying people who lack basic capabilities without exploring the causes of deprivation, such as inadequate health, education, or living standards, our paper argues that this approach misses the mark entirely.
Consider this thought experiment: Is King Charles III poor because he was diagnosed with cancer? According to current multidimensional poverty measures that focus purely on capability deprivation, the answer might be yes. But intuitively, we know this is wrong. The King’s suffering, while real, stems from circumstances beyond his financial means to address. In contrast, an ordinary person with cancer who cannot afford treatment represents true poverty—capability deprivation directly caused by insufficient resources.
This distinction is not merely academic. Our paper demonstrates that many existing poverty indices incorrectly assume that all individuals experiencing deprivation are poor, when in reality, deprivation can affect both the wealthy and the poor for entirely different reasons. A religious person who fasts and suffers malnutrition by choice is experiencing capability deprivation, but they’re not poor. Someone who cannot afford adequate food is experiencing the same deprivation, but due to poverty.
A revolutionary framework: Outputs versus outcomes
The paper introduces a crucial distinction between “outputs” and “outcomes” that reshapes how we should think about poverty measurement. Outputs refer to access to essential services—such as healthcare, education, or nutritious food—while outcomes represent the final achievements like life expectancy, literacy rates, malnutrition, or ill health status.
This distinction matters enormously for policy. Government interventions can directly influence outputs by providing access to services. However, outcomes are influenced by a complex web of factors, including individual choices, genetics, and circumstances beyond policy control. Our paper argues persuasively that poverty should be measured through outputs, not outcomes, because poverty is fundamentally about lacking the means to access what you need.
This insight explains puzzling phenomena like why the United States, despite spending nearly twice as much per capita on healthcare as Australia, has a life expectancy five years lower. The US may provide extensive healthcare outputs, but various factors affect health outcomes differently across the two countries.
Four pillars of security
Rather than getting lost in debates about which capabilities to include or how to weight different deprivations—issues that have plagued multidimensional poverty measurement for years—we propose a streamlined framework focused on four essential securities:
- Food security: The ability to consistently afford a balanced diet that meets nutritional needs
- Health security: Continuous access to basic health services through insurance, government provision, or personal resources
- Education security: The financial means to educate all school-age children in the household
- Security of basic living: Adequate resources for housing, utilities, transportation, and other essential goods and services.
These four domains can be quantified using household expenditure surveys and market prices, eliminating the need for arbitrary thresholds and subjective weightings that compromise existing measures. A household is considered multidimensionally poor if its income falls below the combined cost of securing these four basic capabilities.
Practical implications for policy
This new framework offers significant advantages for policymakers. Unlike current approaches that rely on numerous arbitrary assumptions—such as the Alkire-Foster method’s requirement that people be deprived in more than one-third of weighted indicators—this approach grounds poverty measurement in observable costs and clear causal relationships.
The framework also enables both relative and absolute poverty measurement. While relative measures help understand inequality dynamics, absolute measures tell policymakers exactly how much money is needed to eliminate poverty in various dimensions—critical information for designing effective interventions.
Consider Brazil’s famous Bolsa Família program, one of the world’s most successful conditional cash transfer initiatives. Research shows the program increased school enrolment by 5.5 percentage points and reduced child mortality by 17% in the poorest municipalities. The program works precisely because it addresses the resource constraints that prevent poor families from accessing education and healthcare for their children. By providing cash transfers conditional on school attendance and health checkups, it directly tackles the output deprivations that define poverty in the authors’ framework.
A path forward
Perhaps most importantly, this new approach offers a way out of the methodological quagmire that has trapped multidimensional poverty measurement in academic debates while real-world poverty persists. Instead of endless arguments about which capabilities to include, how to weight them, or where to set arbitrary cutoffs, researchers and policymakers can focus on the concrete question of whether people have sufficient resources to access what they need for a decent life.
The paper’s insights extend beyond technical measurement issues to fundamental questions about the nature of poverty itself. By clearly distinguishing between poverty and general well-being, between resource constraints and other sources of deprivation, and between what governments can directly influence versus ultimate outcomes, our paper provides a clearer foundation for both understanding and addressing one of humanity’s most persistent challenges.
As we face new global challenges—from climate change to technological disruption—having more precise tools for identifying and measuring poverty becomes ever more critical. This new framework offers hope for more effective, evidence-based approaches to one of development’s most fundamental goals: ensuring that everyone has the resources they need to live with dignity.
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