Assessing poverty. Some reflections on the literature

Gustafsson, Björn

doi:10.1007/bf00180874

Cited by 9 publications

(5 citation statements)

References 58 publications

(40 reference statements)

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“…Tables A1 and A2 are on pages 136±139 Notes 1 For more detailed analyses on poverty and on poverty measurement see Seidel (1988), Jenkins and Lambert (1993), Gustafsson (1995), Sen (1997) and essays in Jenkins et al (1998). The author is aware that by using income rather than expenditure an underestimate is made of the poverty level of households headed by an elderly head of the family; this has been shown for Italian data by comparing the Commissione sulla povertaÁ in Italia reports based on the expenditure of households and the results of the analyses by Pattarin (1995) and Cannari and Franco (1997) based on income which show a greater incidence of poverty amongst younger people or in households where the head of the family is not elderly.…”

Section: Appendix: Poverty Indices Usedmentioning

confidence: 99%

“…This difference may arise because of the greater precautional savings of the elderly, which increase poverty for people in this group if poverty is measured in terms of their reduced consumption. See Cannari and Franco (1997), Toso (1996) and Trivellato (1998) for a more detailed analysis of the reasons for the discrepancies obtained by measuring poverty in terms of income or in terms of expenditure, and Atkinson (1998), Callan et al (1993) and Gustafsson (1995) for the debate on expenditure versus income as a reference to measure poverty. The results of cross-national comparisons of the incidence of poverty have been shown to be sensitive to the choice of poverty measure, to the equivalence scales, poverty lines and to the different data sources used, and whether one counts individuals or households (on the problems arising in cross-national studies on poverty see Atkinson et al, 1998).…”

Section: Appendix: Poverty Indices Usedmentioning

confidence: 99%

“…3 See Gustafsson (1995) and Atkinson (1998) for the choice between absolute or relative poverty lines. 4 The sensitivity of poverty to the use of different equivalence scales has been investigated by Buhmann et al (1988), Coulter et al (1992) and Burkhauser et al (1996).…”

Section: Appendix: Poverty Indices Usedmentioning

confidence: 99%

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Poverty Dynamics: Analysis of Household Incomes in Italy

Addabbo

2000

Labour

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Poverty increased in Italy during 1993, both in incidence and intensity. This study focuses on the changes which have taken place after the crisis. The data set used is the Bank of Italy Survey on Household Income and Wealth (SHIW), and poverty is defined in terms of disposable income. A descriptive analysis which uses intensity and incidence indices is provided and probit models are estimated on the poverty probability faced by households of the 1993–95 SHIW panel. The latter microeconometric analysis shows that households living in the South of Italy, with an unemployed husband and whose income was further below the poverty line in 1993, are more likely to have remained poor in 1995. Households whose head has a higher level of education and where the number of employed members is higher were more likely to escape from poverty in 1995. On the whole, it can be stated that poverty did not decrease after the 1993 recession and the poverty status of households living in the South of Italy did worsen after the crisis.

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Section: Appendix: Poverty Indices Usedmentioning

confidence: 99%

Section: Appendix: Poverty Indices Usedmentioning

confidence: 99%

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Poverty Dynamics: Analysis of Household Incomes in Italy

Addabbo

2000

Labour

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“…What recommendations can now be made regarding empirical poverty research? Gustafsson (1995), p. 377 has written that the goal for research efforts in the field of poverty measurement methodology "is perhaps not to replace estimates made from disposable income but to indicate in which directions statements made from broader considerations can point." In this vein, I would like to make the following points.…”

Section: Percent Having Consumer Debt Mean Monthly Payment Consumer Dmentioning

confidence: 99%

Poverty and Assets in Belgium

Bosch

1998

Review of Income and Wealth

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This paper discusses how to take assets into account in the measurement of poverty. First asset holdings of current income‐poor households are described. Second, the effects on the measured incidence of poverty of two methods to combine income and assets into a single index of economic resources are presented. Third, since the majority of income‐poor households do not have assets of much value except for their home, I reconsider the matter of the treatment of housing costs in the measurement of poverty. A method where poverty thresholds are adjusted according to home tenure status is favored, and results of this method are shown. Data are used from the Belgian Socio‐Economic Panel, wave 1992.

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“…This approach defines poverty as scarcity of economic resources or incomes to meet minimum basic needs for a decent life. It shows monetary values of the materials necessary for meeting basic needs in terms of consumption expenditure or income (Gustafsson 1995;Townsend 1970). Thus, poverty alleviation policies have focused on providing the poor with means to ends.…”

Section: Introductionmentioning

confidence: 99%

A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia

Bersisa

Heshmati

2021

Soc Indic Res

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This study analyzes uni-and multidimensional poverty and inequalities in rural and small towns in Ethiopia. Unlike the unidimensional measure, the multidimensional measure of poverty shows all the channels through which poverty may manifest itself; it also shows the extent of deprivation. The analysis uses 6 dimensions with 14 indicators to construct a multidimensional index of poverty and inequalities using Ethiopian Households’ Socioeconomic Survey dataset. The study also uses multiple correspondence analyses for determining relative weights in computing a multidimensional index and conducts a stochastic dominance analysis of distribution of poverty for different population segments. The paper sheds light on the degree of inequalities in consumption expenditure and multidimensional deprivations. In addition, it also compares the degree of poverty using the conventional measure of poverty and the multidimensional approach. It also examines the determinants of household poverty status using both unidimensional and multidimensional measures using the logit model. The results show that the intensity, severity, and depth of poverty varies substantially across the 2 measures. The unidimensional measure of poverty shows that 36 percent of the households were poor as compared to 46 percent multidimensionally poor households. Moreover, demographic, regional, and household heads’ characteristics also affect households’ poverty status.

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Assessing poverty. Some reflections on the literature

Cited by 9 publications

References 58 publications

Poverty Dynamics: Analysis of Household Incomes in Italy

Poverty Dynamics: Analysis of Household Incomes in Italy

Poverty and Assets in Belgium

A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia

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