Direct and Indirect Measures of Poverty

1988 ◽  
Vol 17 (3) ◽  
pp. 351-365 ◽  
Author(s):  
Stein Ringen

ABSTRACTPoverty can be defined and measured either directly (in terms of consumption) or indirectly (in terms of income). The relative deprivation concept of poverty is a direct concept; poverty is understood as visible poverty, that is, a low standard of consumption. The income poverty line is an indirect measure; poverty is established as low income. It is argued that recent mainstream poverty research combines a direct definition and an indirect measure. This causes there to be no logical line of deduction between definition and measurement and, along with other problems in the approach, renders the statistics produced invalid.

2006 ◽  
Vol 35 (4) ◽  
pp. 559-584 ◽  
Author(s):  
PETER SAUNDERS ◽  
LAURA ADELMAN

Poverty research has a long history in both Australia and Britain, but its influence on policy remains subject to political priorities and ideology. This can partly be explained by the limitations of defining poverty as low income and measuring it using an income poverty line. This article examines two national data sets that allow the income poverty profile to be compared with, and enriched by, the incidence of deprivation and social exclusion, measured using data that directly reflect experience. Although a degree of care must be applied when interpreting these new indicators within and between countries, a validated poverty measure is developed that reflects both low income and the experience of deprivation and exclusion. When results for the two countries are compared, they reveal stark differences between the alternative indicators. Britain has the higher income poverty rate and, although the incidence of both deprivation and exclusion are higher in Australia, Britain still has more validated poverty. The distributional profiles of deprivation and exclusion are shown to be very different in the two countries. These differences are explained by the very low incomes of low-income households in Britain, relative to other British households and relative to their Australian counterparts. Despite these differences, the results indicate that the same three groups face the greatest risk in both countries: lone parents, single working-age people and large (couple) families.


2020 ◽  
pp. 11-22
Author(s):  
Yazmin Denisse Salvador-Garcia ◽  
Erika Guadalupe May-Guillermo ◽  
Samuel De La Cruz-May

The objective of this document is to analyze the distribution of income in the states of the southeast region of Mexico during the period 2010-2016, to identify the levels of inequality in economic matters. For this, a documentary, descriptive and longitudinal investigation was carried out, analyzing six economic indicators reported by the Consejo Nacional de Evaluación de la Política de Desarrollo Social (CONEVAL) for the period studied: 1) Gini coefficient, 2) population in poverty situation, 3) vulnerable population by income, 4) population in extreme poverty, 5) population with income below the extreme poverty line by income and 6) population with income below the income poverty line. The results indicate that Chiapas, Guerrero and Oaxaca were the most vulnerable states due to low income levels, high poverty in general, and prevailing inequality in the region. In contrast, the state with the least economic vulnerability was Quintana Roo. The main contribution of the study lies in the identification of the poorest and most vulnerable states in the southeast of Mexico, as well as in the formulation of recommendations for the better distribution of income and poverty reduction in the analyzed region.


Author(s):  
Mesran Mesran ◽  
Suginam Suginam ◽  
Surya Darma Nasution ◽  
Andsyah Putera Utama Siahaan

Community Health Insurance is one of the government programs for the people of Indonesia in obtaining treatment services at Puskesmas. The program is very helpful for people who are low income and live below the poverty line. Indicators for the government in providing this service consists of 10 (ten) criteria that are House Ownership Status, Floor Area per Household Member, Type of Floor of House, Type of Wall House, Lighting House Used, Fuel Used, Frequency Of Eating In A Day, Ability Buy meat/chicken/milk in a week, Employment of head of household, Education of head of household. In the application, of course, has constraints in deciding who the participants who get the Jamkesmas service. With the application of one of Multi-Criteria Decision Making (MCDM) able to overcome obstacles faced by government. Some methods of MCDM such as Simple Additive Weighting(SAW), Weighted Product(WP), Weighted Sum Model(WSM) can solve this problem. By applying the WSM is relatively easy and fast, is believed to be able to get the best results.


Author(s):  
Rodney Schmidt

This paper synthesizes and develops research undertaken by participants in The North-South Institute project, "Macroeconomic policy choices for growth and poverty reduction" in low- income developing countries.1 The project analysed the features of poverty and growth in seven poor countries of varying circumstances and proposed macroeconomic and growth policies for poverty reduction for them. The research was guided by the question: "How does poverty inform growth strategy?" Our research provides evidence of the channels through which growth and distribution or poverty processes depend on each other and respond to policy together. We encapsulate the messages of these case studies in the following six propositions, discussed at length in the paper: i) macroeconomic stability reduces poverty; ii) land redistribution enhances growth; iii) income poverty traps constrain growth; iv) urban-rural growth disparities drive income inequality; v) regional poverty traps resist growth, and vi) ley growth policies can aggravate poverty gaps.  The propositions suggest growth policies that may be either of two types in terms of impact on growth and distribution. They have the potential to enhance both growth and distribution (win-win) or to enhance growth while aggravating income gaps or vice versa (win-lose).


2018 ◽  
Vol 51 (2) ◽  
pp. 403-419 ◽  
Author(s):  
Mark Fransham

A recent change in the geography of poverty in Britain has been reported: it appears to be becoming more evenly distributed in major cities, such that low-income individuals are less likely to be living in the highest poverty areas. Studying all local authority areas in England between 2005 and 2014, this paper finds that this phenomenon is strongly differentiated by age group and local authority type. Poverty amongst children and working age people is becoming more evenly distributed in almost all local authority types, with the largest changes occurring in the most urban areas. The change is strongly associated with the increasing proportion of low-income households living in private sector housing. Conversely, there is evidence of an increasing residential concentration of poverty at older ages. The paper also proposes a method for decomposing a change in rates between changes in the numerator and changes in the denominator. It concludes by discussing the implications of these findings for area effects, area-based initiatives and gentrification by displacement.


2019 ◽  
Vol 13 (1) ◽  
pp. 155798831982995 ◽  
Author(s):  
Caryn N. Bell ◽  
Roland J. Thorpe

Racial disparities in obesity among men are accompanied by positive associations between income and obesity among Black men only. Race also moderates the positive association between marital status and obesity. This study sought to determine how race, income, and marital status interact on obesity among men. Using data from the 2007 to 2014 National Health and Nutrition Examination Survey, obesity was measured as body mass index ≥30 kg/m2 among 6,145 Black and White men. Income was measured by percentage of the federal poverty line and marital status was categorized as currently, formerly, or never married. Using logistic regression and interaction terms, the associations between income and obesity were assessed by race and marital status categories adjusted for covariates. Black compared to White (OR = 1.19, 95% CI [1.03, 1.38]), currently married compared to never married (OR = 1.45, 95% CI [1.24, 1.69]), and high-income men compared to low income men (OR = 1.26, 95% CI [1.06, 1.50]) had higher odds of obesity. A three-way interaction was significant and analyses identified that income was positively associated with obesity among currently married Black men and never married White men with the highest and lowest probabilities of obesity, respectively. High-income, currently married Black men had higher obesity rates and may be at increased risk for obesity-related morbidities.


2020 ◽  
Vol 35 (2) ◽  
pp. 123-157 ◽  
Author(s):  
Adam Wagstaff ◽  
Patrick Eozenou ◽  
Marc Smitz

Abstract This paper provides an overview of research on out-of-pocket health expenditures by reviewing the various summary measures and the results of multi-country studies using these measures. The paper presents estimates for 146 countries from all World Bank income groups for all summary measures, along with correlations between the summary measures and macroeconomic and health system indicators. Large differences emerge across countries in per capita out-of-pocket expenditures in 2011 international dollars, driven in large part by differences in per capita income and the share of GDP spent on health. The two measures of dispersion or risk—the coefficient of variation and Q90/Q50—are only weakly correlated across countries and not explained by our macroeconomic and health system indicators. Considerable variation emerges in the out-of-pocket health expenditure budget share, which is highly correlated with the incidence of “catastrophic expenditures”. Out-of-pocket expenditures tend to be regressive and catastrophic expenditures tend to be concentrated among the poor when expenditures are assessed relative to income, while expenditures tend to be progressive and catastrophic expenditures tend to be concentrated among the rich when expenditures are assessed relative to consumption. At the extreme poverty line of $1.90-a-day, most impoverishment due to out-of-pocket expenditures occurs among low-income countries.


1997 ◽  
Vol 11 (1) ◽  
pp. 8-28 ◽  
Author(s):  
Wendy Frisby ◽  
Susan Crawford ◽  
Therese Dorer

In contrast to traditional approaches to research, participatory action research calls for the active involvement of the community—including both the beneficiaries and providers of sport services—in defining research problems, executing interventions, interpreting results, and designing strategies to change existing power structures. The purpose of this paper was to analyze a participatory action research project designed to increase the access of women living below the poverty line and their families to local physical activity services. A framework developed by Green et al. (1995) formed the basis of the analysis. To place the analysis in context, the historical origins and theoretical assumptions underlying participatory action research were addressed. The case of the Women's Action Project demonstrated how the process can result in a more inclusive local sport system and, at the same time, provide a rich setting for examining organizational dynamics including collaborative decision-making, community partnerships, power imbalances, resource control, resistance to change, and nonhierarchical structures.


Author(s):  
Adeleye Ifeoluwa A. ◽  
Obabire Ibikunle E. ◽  
Fasuan Yetunde O. ◽  
Babadiji Abike O.

The incidence of poverty in Nigeria is worrisome, and it has constituted a national menace. The occurrence of poverty incidence had been found to be more pronounced among Rural farming households in the country. However, paucity of data exists in terms of decomposition of household poverty into relevant subgroups using their socio-economic characteristics. Therefore, this paper assessed the decomposition analysis of poverty among rural farming Households in Oyo State, Nigeria using the data collected through a well-structured interview schedule from 170 respondents who were selected through a multi-stage sampling procedure. Data collected were described using frequency counts and percentage while poverty Indices was analyzed using Foster-Greer Thorbecke model and Decomposition analysis. The findings revealed that higher proportion (73.5%) of the respondents were above 40 years, 65.3% were male, 78.2% were married and 27.6% had secondary education, while 62.4% had household size of between 5 and 9 persons. Majority (79.4%) had farm size of more than 1.5 hectares and 62.9% had no access to remittance. Poverty incidence (P0) was 40.59%, Poverty depth/gap (P1) was 16.11% and Poverty severity (P2) was 0.09%, among the respondents using income-poverty line measure. Decomposition analysis showed that Poverty was high among households that were headed by male, young with low literacy level, and large household size. The severity of poverty was higher among households headed by labour of other farms. Effective poverty reduction strategies should therefore focus on education, livelihood diversification and control of household size.


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