The study has used real consumption as the main variable to measure the inequality. This study is based on the raw data taken from the 3rd Nepal Living Standard Survey-2011 conducted by the Central Bureau of Statistics (CBS). This study aims at computing, comparing and decomposing the different inequality indices by rural and urban areas, sex of household head and ecological belt, so that policy maker can make the policy to reduce the inequality in Nepal. Specifically, geographic location, parents' education, and parental wealth are found to be the principal factors contributing to inequality of opportunity in child health outcome. The results also reveal that the share of circumstances in inequality of opportunity in child health varies significantly according to health indicator and geographic region. The contribution of inequality of opportunity to total inequality in child health outcome is found to be substantial and varies, both across and within regions. The results of the generalized entropy measures indicate that the overall inequality in child health is high, particularly in poor and conflict-affected regions. It investigates the variation in inequality across and within regions, decomposing inequality into a portion that is due to inequality of opportunity and a portion due to other factors, such as random variations in health. #Tiny thief ingresos drivers#This study aims to examine the drivers of inequality of opportunity in health outcome among children below 5 years of age, using the Sudanese 2014 Multiple Indicator Cluster Survey. High inequality in these non-wage income sources and unequal access to income sources tied to wealth and capital may help explain why inequality is perceived to be high. Enterprise earnings (in Egypt) and agricultural earnings (in Tunisia) as well as rent and other capital income in both countries play a large role in inequality. Social assistance does little to offset income inequality in either country. Informal wage work and earnings from household enterprises are more common in Egypt than Tunisia, while formal wage work, pensions, and social assistance are more common in Tunisia. We find that higher-income households have more income sources than lower-income ones. In this study we explore a different dimension of inequality in Egypt and Tunisia by using a more complete measure of income and decomposing inequality by income sources (factor components). This second approach has nevertheless also been recently and increasingly advocated by economists and non-economists alike as a multidimensional complement to the unidimensional standard of living approach.Įgypt and Tunisia are perceived to have high levels of inequality, yet based on standard measures, inequality in these two countries is not unusually high. The second approach has historically been advocated mainly by social scientists other than economists and partly in reaction to the first approach. The first approach tends to concentrate in practice mainly on comparisons of “economic wellbeing”, which we will also call “standard of living” or “income” (for short), As we will see, this approach has strong links with traditional economic theory, and it is also widely used by economists in the operations and research work of organizations such as the World Bank, the International Monetary Fund, and Ministries of Finance and Planning of both developed and developing countries. The assessment of well-being for poverty analysis is traditionally characterized according to two main approaches, which, following Ravallion (1994), we will term the welfarist and the non-welfarist approaches. It requires basic understanding of calculus and statistics.Ībdelkrim Araar and Jean-Yves Duclos teach economics at Université Laval in Québec City. #Tiny thief ingresos software#Most of the book’s measurement and statistical tools have been programmed in DAD, a well established and widely available free software program that has been tailored especially for income distribution analysis and is used by scholars, researchers, and analysts in nearly 100 countries worldwide. Part IV discusses ways of using policy to alleviate poverty, improve welfare, increase equity, and assess the impact of growth. Part III presents and develops recent methods for testing the robustness of distributive rankings. Part II develops an integrated framework for measuring poverty, social welfare, inequality, vertical equity, horizontal equity, and redistribution. Part I discusses basic fundamental issues of well-being and poverty measurement. This text addresses the understanding and alleviation of poverty, inequality, and inequity using a unique and broad mix of concepts, measurement methods, statistical tools, software, and practical exercises.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |