Dimensions of Poverty: Measurement, Epistemic Injustices, Activism

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.

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Contrasting Monetary and Multidimensional Poverty Measures in a Low-Income Sub-Saharan African Country

Social Indicators Research ◽

10.1007/s11205-020-02382-z ◽

2020 ◽

Vol 151 (2) ◽

pp. 547-574 ◽

Cited By ~ 1

Author(s):

Lukas Salecker ◽

Anar K. Ahmadov ◽

Leyla Karimli

Keyword(s):

Risk Factors ◽

Low Income ◽

Multidimensional Poverty ◽

Poverty Measurement ◽

Sub Saharan Africa ◽

Analytical Strategy ◽

Poverty Risk ◽

Two Measures ◽

Sub Saharan ◽

Over Time

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.

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Poverty Measurement in Australia: Towards a New Consensus

The Australian Quarterly ◽

10.2307/20635634 ◽

1991 ◽

Vol 63 (3) ◽

pp. 235 ◽

Cited By ~ 1

Author(s):

Anthony King

Keyword(s):

Poverty Measurement

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Poverty in the European Union and in Russia: A comparative analysis

Economic Analysis Theory and Practice ◽

10.24891/ea.20.4.697 ◽

2021 ◽

Vol 20 (4) ◽

pp. 697-717

Author(s):

Eka R. ERMAKOVA ◽

Dar'ya V. VASHURKINA

Keyword(s):

Comparative Analysis ◽

Western Europe ◽

Poverty Line ◽

Poverty Measurement ◽

Federal State ◽

Economic Science ◽

The European Union ◽

Monetary Approach ◽

Study Results ◽

The Absolute

Subject. The article considers and compares methods used in the European and domestic practice for determining the poverty line. Objectives. Our aim is to underpin the need to abandon the absolute approach to determining the poverty line in Russia in favor of relative approaches. Methods. We employ general scientific methods of cognition (comparison, analysis, and synthesis) and special methods of economic science (rationed assessments). The data of the Federal State Statistics Service and its territorial bodies, the Statistical Office of the European Communities, etc. serve as the information base of the study. Results. The paper shows the failure of the absolute approach to poverty measurement, reveals its shortcomings, determines that it distorts the picture of economic reality in the study of poverty. We apply the European monetary approach to poverty measurement. The comparative analysis of poverty rates in Western Europe and in Russia confirms the existence of extreme forms of poverty, both in developed European States and in our country. The paper uses the ‘zone theory’ to assess the severity of poverty in Russia; the actual values of these indicators in Western Europe serve as thresholds. Conclusions. The use of the relative monetary approach to measure poverty in the country gives a more accurate idea. Since 2021, Russia has switched to a similar method of calculating the subsistence rate and the minimum wage. Hence, the officially recorded level of poverty in the country will increase, and this will require additional measures to support the poor by the State.

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