Sources of welfare disparities between and within regions of Brazil: evidence from the 2002-2003 household budget survey (POF)

Skoufias, Emmanuel; Katayama, Roy

doi:10.1093/jeg/lbq030

Cited by 14 publications

(12 citation statements)

References 24 publications

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“…In India, there are substantial disparities across states in terms of literacy rates, life expectancy and living conditions, as well as income (Drèze and Sen 1997). Poverty rates vary widely within Brazil, with low rates in the booming south-east and much higher rates in the rural north-east (Skoufias and Katayama 2011). The list could easily be multiplied but, as Williamson (1965) remarks, many countries have a tendency to see their own regional imbalances as uniquely pronounced and intractable.…”

Section: Introductionmentioning

confidence: 99%

Regional Growth and Regional Decline

Breinlich

Ottaviano

Temple

2014

Handbook of Economic Growth

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Since the early 1990s, there has been a renaissance in the study of regional growth, spurred by new models, methods and data. We survey a range of modelling traditions, and some formal approaches to the 'hard problem' of regional economics, namely the joint consideration of agglomeration and growth. We also review empirical methods and findings based on natural experiments, spatial discontinuity designs, and structural models. Throughout, we give considerable attention to regional growth in developing countries. Finally, we highlight the potential importance of processes that are specific to regional decline, and which deserve greater research attention.

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Section: Introductionmentioning

confidence: 99%

Regional Growth and Regional Decline

Breinlich

Ottaviano

Temple

2014

Handbook of Economic Growth

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“…The data includes information concerning the head of the household, composition, area of household's location and total household's consumption expenditures. The choice of explanatory variables is based on the literature (Nguyen et al ., ; Skoufias and Katayam, ) and is validated by the AIC and BIC criteria . Therefore, we use household size, the proportion of children under 15 years old in each household and the gender of the household head.…”

Section: Sample Characteristics and Methodologymentioning

confidence: 99%

Semi‐parametric Regression‐based Decomposition Methods: Evidence from Regional Inequality in Tunisia

Jmaii¹,

Rousselière²,

Daniel³

2017

African Development Review

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This paper examines urban-rural welfare inequality in Tunisia. Founded on the recentred influence function and quantile regression based counterfactual decomposition, we dissect the gap between the two areas. Results of the present study suggest that the difference between rural poor households and urban poor households is due essentially to characteristic effects; while for wealthier households both characteristic and returns to these characteristic effects (for example, efficiency of educational system) are responsible for this gap. Additionally, the results demonstrate that this is an issue of value, and, more specifically, an economic development fairness conflict. It is suggested that policymakers should address a positive discrimination programme in favour of the marginalized region.Ã Amal Jmaii (corresponding author), Tunisia, as a developing country, has implemented since the early years of statehood, several national programmes to reduce poverty and regional disparities. The country has indeed shown some progress in many areas. The per capita income has risen, public services have developed, health indicators have improved and the demographic trends have been favourable. In fact, the Semi-parametric Regression-based Decomposition Methods 661

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“…However, comparing the lagging Northeast region with the leading Southeast region, differences in the welfare gains of attributes are associated with a large part of the welfare disparities, in particular in metropolitan areas, supporting the presence of agglomeration effects in booming areas [8].…”

Section: Advances In Economics Business and Management Research Volmentioning

confidence: 99%

Relative Poverty Measurement by Equivalent Income

Sadyrtdinov¹,

Rodnyansky²,

Макаров³

et al. 2017

Proceedings of the International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017

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-In the article results of the relative poverty measurement by equivalent income for households of Volga Federal District in the Russian Federation are presented. Using equivalence scales, the authors estimate equivalent incomes and distribute households in the form of the stratification scale. Based on the research, the following conclusions are made. The majority of households in almost all regions belong to the lowermiddle class (second group), but not to the middle class (third group). Percentage is different for these regions, but on average, it is 38.9 %. Only two regions: the Republic of Mordovia and the Republic of Udmurtia, have more households in the third group which refers to the middle class. In almost all regions of Volga Federal District, the percentage of households below the relative poverty line is less than 10 %. In all regions, the proportion of households in the upper-middle and upper class together does not exceed 30% of the whole sample. The third hypothesis is confirmed.

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Sources of welfare disparities between and within regions of Brazil: evidence from the 2002-2003 household budget survey (POF)

Cited by 14 publications

References 24 publications

Regional Growth and Regional Decline

Regional Growth and Regional Decline

Semi‐parametric Regression‐based Decomposition Methods: Evidence from Regional Inequality in Tunisia

Relative Poverty Measurement by Equivalent Income

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