Global poverty estimates minoiu camelia dhongde shatakshee. EconPapers: Global Poverty Estimates; A Sensitivity Analysis 2019-03-13

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Global Poverty Estimates : Global Poverty Estimates : A Sensitivity Analysis:

global poverty estimates minoiu camelia dhongde shatakshee

Central to reconciling both principles in practice is our pursuit for austerity in setting poverty thresholds as well as the view that differences in social norms mainly reflect differences in social inclusion needs. The decline in poverty over the past decade is found to be robust across methodological choices. Responsibility: Shatakshee Dhongde and Camelia Minoiu. Savings rates increased across all demographic groups, and the age profile of savings has an unusual pattern in recent years, with younger and older households having relatively high savings rates. The decline in poverty over the past decade is found to be robust across methodological choices. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. The quality of these deflators depends on the extent to which the underlying poverty lines adhere to the principles of consistency and specificity.

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IS POVERTY INCREASING IN THE DEVELOPING WORLD?

global poverty estimates minoiu camelia dhongde shatakshee

Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. We conclusively reject the null hypothesis that the optimal weight on surveys is greater than the optimal weight on national accounts, and we generally fail to reject the null hypothesis that the optimal weight on surveys is zero. However the change is small, and numbers of poor increased at roughly the rate of population growth. The authors argue that such social effects on welfare call for a reconsideration of how we assess global poverty, but they do not support standard measures of relative poverty. Current estimates of global poverty vary substantially across studies.

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Global Poverty Estimates: A Sensitivity Analysis

global poverty estimates minoiu camelia dhongde shatakshee

Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. These estimates neglect income differences within shares, introducing, therefore, a potential source of measurement error. This article summarizes the recent evidence on global poverty and inequality, including both developed and developing countries. We also discuss the importance of the intra-household resource allocation process in determining within-household inequalities and potentially influencing poverty estimates. General contact details of provider:.

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Global poverty estimates: Present and future

global poverty estimates minoiu camelia dhongde shatakshee

Based on a sensitivity analysis of global poverty estimates to different methodological approaches, we show that existing figures vary markedly with the choice of data source for mean income or consumption used to scale relative distributions; and with the statistical method used to estimate income distributions from tabulated data. The debate has run parallel to the wider debate about globalization and poverty in the 1990s and is also an important part of that debate. We also discuss the importance of the intra-household resource allocation process in determining within-household inequalities and potentially influencing poverty estimates. Upper middle group was equally divided into facing severe, moderate or no difficulty. Some considerations concerning future possible developments conclude the paper. The results indicate that the incidence of both absolute and weakly-relative poverty in the developing world has been falling since the 1990s, but more slowly for the relative measure. The chapter computes standard errors of the resulting poverty estimates and compares the incidence of income poverty across these three countries.

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(PDF) Global Poverty Estimates: A Sensitivity Analysis

global poverty estimates minoiu camelia dhongde shatakshee

His books have been translated into more than thirty languages. Partiendo de la metodología común de Alkire y Foster que superan algunas de las limitaciones de la tradicional línea de pobreza monetaria,se evidencia que existe una oportuna flexibilidad de elección en dimensiones, umbrales, ponderaciones y líneas de corte divisorias entre pobres y no pobres. We review the recent empirical literature on global poverty, focusing on key methodological aspects. Although there is no consensus on what happened to poverty in India in the 1990s, there is good evidence both that poverty fell and that the official estimates of poverty reduction are too optimistic, particularly for rural India. The trends over time and regional profile are robust to various changes in methodology, though precise counts are more sensitive. As basic public goods such as electricity are often included as a dimension of poverty Dhongde and Minoiu, 2013 , and as our measure of nighttime light is sensitive enough to detect street lights see e. Grouped data in form of income shares have been conventionally used to estimate income inequality due to the lack of availability of individual records.

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IS POVERTY INCREASING IN THE DEVELOPING WORLD?

global poverty estimates minoiu camelia dhongde shatakshee

We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Most prior research on economic inequality relies on lower bounds of inequality measures in order to avoid the need to impose a parametric functional form to describe the income distribution. Those methodological concerns cast reasonable doubts on the poverty rates reported. Section 3 discusses the empirical relationship between economic growth, poverty, and inequality dynamics. Section 4 turns to the likely economic determinants of poverty and inequality changes. The global absolute poverty rates of the World Bank demonstrate a continued decline of poverty in developing countries between 1983 and 2012.

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(PDF) Global Poverty Estimates: Present and Future

global poverty estimates minoiu camelia dhongde shatakshee

A computational algorithm is developed to implement the method. We argue that these patterns are best explained by the rising private burden of expenditures on housing, education, and health care. Find sources: — · · · · November 2015 Thesis 2005 Shatakshee Ramesh Dhongde is assistant professor at the School of Economics, ,. Having considered differing definitions of poverty for developed and developing countries, poverty in Latin America is analyzed, especially rural poverty in Brazil. The aim of this paper is to explore a nuanced alternative to estimate income inequality, which leads to a reliable representation of the income distribution within shares.

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(PDF) Global Poverty Estimates: A Sensitivity Analysis

global poverty estimates minoiu camelia dhongde shatakshee

We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Aided upper lower group was dependent on welfare schemes for in-hospital treatment but could not access other components of management once discharged. The method is applied to study the dynamic of China's urban income distribution using published interval aggregated data of 1985—2010. Working Papers describe research in progress by the author s and are published to elicit comments and to further debate Summary: Current estimates of global poverty vary substantially across studies. Based on a sensitivity analysis of global poverty estimates to different methodological approaches, we show that existing figures vary markedly with the choice of data source for mean income or consumption used to scale relative distributions; and with the statistical method used to estimate income distributions from tabulated data. He has taught in India, England, and the United States and is currently the Lamont University Professor at Harvard University. However, the performance of this approach seems to be extremely sensitive to the selection of the bandwidth parameter, which might lead to significant biases on the estimates of poverty and inequality measures Minoiu and Reddy, 2014.

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