Three Essays on Income Inequality
Author : Gulgun Bayaz Ozturk
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Page : 0 pages
File Size : 25,78 MB
Release : 2010
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Author : Gulgun Bayaz Ozturk
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Page : 0 pages
File Size : 25,78 MB
Release : 2010
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Author : Damir Cosic
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Page : 228 pages
File Size : 41,52 MB
Release : 2015
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ISBN : 9781321754025
Author : Aaron Cooke
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Page : 100 pages
File Size : 50,80 MB
Release : 2018
Category : Electronic dissertations
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In two linked papers I show the importance of fertility to the wealth distribution and how fertility interacts with intergenerational transfer taxation. In a third paper I empirically explore the impact of recession on occupational sorting, using public school teachers as a relatively acyclical comparison occupation.
Author : Aoyu Hou
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Page : pages
File Size : 37,28 MB
Release : 2020
Category : Convergence (Economics)
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Author : Anjan Kumar Saha
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Page : 224 pages
File Size : 48,72 MB
Release : 2015
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This thesis contains three essays on income inequality. The underlying theme is to investigate the relationship of income inequality with political instability, economic growth, and financial development. To this end, the first study aims to explore the relationship of income inequality with political instability. Motivated by the observation that politically unstable countries tend to have wide income gaps, the study explores the possibility that major source of political instability is income inequality, which can be traced back to the history of early development across the globe. Using data for 95 countries, the estimates provide support for the notion that before 1500 CE early development of our ancestors, and after 1500 CE colonization, and evolution of institutions can explain today's income inequality, which subsequently affects political stability of a country. Irrespective of the subsamples used, the results confirm highly significant impact of unequal income distribution on political instability. The second study investigates the endogeneity between income inequality and economic growth, which seems to be impregnable in the literature. Motivated by Spolaore and Wacziarg's (2009) influential idea that genetic distance of population between countries puts barrier to the diffusion of development, this work constructs weighted average growth of other countries as instruments for economic growth that can explain inequality across the countries. The weights come from genetic and geographic distances between two countries. Income growth per capita is instrumented to find growth's impact on the top income shares first, and then the residuals of the regression are used as instruments for the top income shares to identify the net impact of top income shares on economic growth in the subsequent regressions. Using top income data of fourteen OECD countries for around hundred years, the estimates provide support to the view that growth reduces top income shares; however, top income shares in turn enhances economic growth. The third study explores the possibility of financial development as a major determinant of top income shares in the OECD countries. In a century long panel of time series data of top income shares and financial development, the work attempts to capture the impact of financial development on the income distribution of the top income strata. Couple of dynamic models has been used to check the robustness of our hypothesis in favour of financial development as a major source of rise in the top income shares. The results show that a one standard deviation rise in financial development, measured by private credit-GDP ratio, is associated with an increase of the top 1% income shares by around 0.3 standard deviation of its own. The effects are also robust to the other measures of top income shares.
Author : Rachel A. Bouvier
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Page : 270 pages
File Size : 50,81 MB
Release : 2004
Category : Economic development
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Author : Talajeh Livani
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Page : 0 pages
File Size : 17,23 MB
Release : 2017
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Author : Pedro Salas Rojo
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Page : 0 pages
File Size : 47,6 MB
Release : 2022
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This doctoral dissertation is divided in three chapters. All of them deal with aspects related to the measurement of economic inequality, but each one has a distinct topic and puts its focus on a specific standpoint. Inheritances and Wealth Inequality: A Machine Learning Approach. This chapter explores the relationship between received inheritances and the distribution of wealth (financial, non-financial and total) in four developed countries: the United States, Canada, Italy and Spain. We follow the inequality of opportunity (IOp) literature and -considering inheritances as the only circumstance- we show that traditional IOp approaches can lead to non-robust and arbitrary measures of IOp depending on discretionary cut-off choices of a continuous circumstance such as inheritances. Overcoming this limitation, we apply Machine Learning methods to optimize the choice of cut-offs (‘random forest’ algorithm) and we find that IOp explains over 60% of wealth inequality in the US and Spain (using the Gini coefficient), and more than 40% in Italy and Canada. Including parental education as an additional circumstance -available for the US and Italy- we find that inheritances are still the main contributor. Finally, using the S-Gini index with different parameters to weight different parts of the distribution, we find that the effect of inheritances is more prominent at the middle of the wealth distribution, while parental education is more important for the asset-poor...
Author : Andrew Silva
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Page : 198 pages
File Size : 46,21 MB
Release : 2018
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Author : Hosnieh Mahoozi
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Page : pages
File Size : 28,54 MB
Release : 2017
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