Asset-Based Measurement of Poverty

Brandolini, Andrea; Magri, Silvia; Smeeding, Timothy M.

doi:10.2139/ssrn.1670125

Cited by 73 publications

(86 citation statements)

References 133 publications

(2 reference statements)

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“…This is surprising given the importance of wealth for a households' financial situation, consumption opportunities, subjective well-being, vulnerability and ability to sustain periods of low income (see, for example, Heady and Wooden, 2004;Graham and Pettinato, 2002;Harper and Price, 2011;Azpitarte, 2012;Haveman and Wolff, 2004;Nolan 3 and Whelan, 2010;Sherraden, 1991). 3 A frequently mentioned argument for including wealth in poverty measures is put forward by Brandolini et al (2010). According to these authors, classic income poverty measures "… ignore the possibility that a consumer unit decreases accumulated savings to meet current needs."…”

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

“…There are some published papers combining wealth and income concepts in assessing the well-being or poverty of households (see Brandolini et al, 2010;Aziptarte, 2012;Haveman and Wolff, 2012;Gornick et al, 2009). The two main approaches proposed for using both income and wealth to assess poverty can be summarised as follows: The first strategy is to treat wealth as a form of income and integrate it completely and directly with income into one single poverty measure.…”

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

“…Most studies we are aware of use the income thresholds for both the income-only measure and the combined poverty measure (e.g. Brandolini et al, 2010).…”

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

“…Albacete and Lindner, 2013 Some papers have compared poverty measures based on income and wealth for several countries. Brandolini et al (2010) analyse data from Finland, Germany, Italy and the US and find that including wealth leads to a sizeable reduction in poverty rates. They also show substantial heterogeneity in poverty rates across countries, irrespective of the indicator.…”

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

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Identifying Income and Wealth-Poor Households in the Euro Area

Müller

Schmidt

2017

Journal of Poverty

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In dieser Studie werden unterschiedliche Arten von Armutsindikatoren, basierend auf Einkommen und Vermögen, betrachtet. Insbesondere soll untersucht werden, inwieweit die Zahl armer Haushalte und deren sozio-demographische Struktur, sowie die Zusammensetzung ihres Vermögens und ihre Konsumausgaben von der Wahl eines bestimmten Armutskonzeptes abhängen. Beitrag AbstractIn this paper, we analyse different measures of asset and income poverty using micro-data for 15 euro area countries from the 2010 Household Finance and Consumption Survey (HFCS). We are particularly interested in the way in which specific definitions of income and wealth poverty affect the number and socio-demographic characteristics of poor households, as well as their portfolio composition and consumption expenditure. We find that adding wealth to the poverty definition mainly influences the percentage of poor households but has a limited effect on the documented socio-demographic composition, portfolio structure and food consumption of poor households compared to the patterns under a pure income poverty measure. Within each country, we document some heterogeneity with regard to the percentage of poor households across different poverty measures. However, across countries, the percentage of households in poverty for any given indicator is relatively homogenous. We find the typical socio-demographic patterns for poor households: the risk of being income and/or wealth-poor is, in almost all countries, higher for smaller households, households with a less educated head and single-parent households. We also show that the percentage of female, old and retired reference persons is higher for poor households than for the population at large. Additionally, the participation rates in real and financial assets for poor households are lower than for the population as a whole. Poor households spend more than 30% of their gross income on food.

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Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

“…Most studies we are aware of use the income thresholds for both the income-only measure and the combined poverty measure (e.g. Brandolini et al, 2010).…”

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

Section: Measuring Poverty Using Income and Wealth -Approaches And Ismentioning

confidence: 99%

See 2 more Smart Citations

Identifying Income and Wealth-Poor Households in the Euro Area

Müller

Schmidt

2017

Journal of Poverty

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“…It is an important, but not the only, source for financing material needs. Savings or credit help meet expenses (Brandolini et al 2010). If access to public services is subsidized, more income is left for other expenses (Paulus et al 2010).…”

Section: Measuring Child Povertymentioning

confidence: 99%

Child Poverty in Ontario: The Value Added of Material Deprivation Indicators for Comparative Policy Analysis in North America

Notten

2015

Journal of Comparative Policy Analysis: Research and Practice

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North America lags behind in the use of outcome-based indicators such as material deprivation to study child poverty. Instead income indicators dominate research and policy-making. A large body of international research concludes that income poverty and material deprivation are complementary indicators because each measures specific but related aspects of material wellbeing. For children this distinction is even more pertinent because children have specific needs and their material circumstances affect both their current and future well-being. This research uses Ontario data to investigate whether material deprivation also contributes to a better understanding of child poverty in North America. It shows that the choice of poverty indicator affects estimates of the level of child poverty, its correlates, and the success of policy interventions in reaching poor children.

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The Effects of Foreclosure Counseling for Distressed Homeowners

Collins¹,

Schmeiser²

2012

J Policy Anal Manage

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In the face of the housing market downturn of the late 2000s, policymakers promoted third‐party mortgage default counseling as a way to help people at risk of losing their homes to avoid foreclosure. Using a unique data set of monthly loan payments remitted to investors combined with administrative data from a national counseling agency, this study estimates the effects of default counseling on the probability that troubled mortgage borrowers will lose their homes to foreclosure. Borrowers are actually more likely to miss loan payments after receiving counseling, but the probability of losing a home to foreclosure drops after counseling, suggesting that counseling policies may be beneficial during housing crises.

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Asset-Based Measurement of Poverty

Cited by 73 publications

References 133 publications

Identifying Income and Wealth-Poor Households in the Euro Area

Identifying Income and Wealth-Poor Households in the Euro Area

Child Poverty in Ontario: The Value Added of Material Deprivation Indicators for Comparative Policy Analysis in North America

The Effects of Foreclosure Counseling for Distressed Homeowners

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