scholarly journals Educational Homogamy and Inter-Couple Income Inequality: Linking Demographic and Socio-Economic Consequences of Educational Expansion in Germany and Switzerland

2017 ◽  
Vol 43 (3) ◽  
pp. 587-610 ◽  
Author(s):  
Ramsey Wise ◽  
Christoph Zangger
Keyword(s):  
Decision Making ◽  
Panel Data ◽  
Income Inequality ◽  
Income Distribution ◽  
Working Time ◽  
Economic Consequences ◽  
Educational Expansion ◽  
Educational Homogamy ◽  
Marginal Impact

AbstractHow is educational expansion associated with increased educational homogamy and income inequality? Using SOEP and SHP panel data, we randomly match couples and compare the resulting income distribution to the observed one. Educational homogamy thereby has had only a marginal impact on earnings-based income inequality between couples, which is largely due to the endogenous decision-making of couples concerning working time.

The effects of debt restructurings on income inequality in the developing world

2021 ◽  
pp. 135406612110014
Author(s):  
Glen Biglaiser ◽  
Ronald J. McGauvran
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Income Distribution ◽  
Government Spending ◽  
Tax Reform ◽  
Social Spending ◽  
The Poor ◽  
The Rich ◽  
The Impact

Developing countries, saddled with debts, often prefer investors absorb losses through debt restructurings. By not making full repayments, debtor governments could increase social spending, serving poorer constituents, and, in turn, lowering income inequality. Alternatively, debtor governments could reduce taxes and cut government spending, bolstering the assets of the rich at the expense of the poor. Using panel data for 71 developing countries from 1986 to 2016, we assess the effects of debt restructurings on societal income distribution. Specifically, we study the impact of debt restructurings on social spending, tax reform, and income inequality. We find that countries receiving debt restructurings tend to use their newly acquired economic flexibility to reduce taxes and lower social spending, worsening income inequality. The results are also robust to different model specifications. Our study contributes to the globalization and the poor debate, suggesting the economic harm caused to the less well-off following debt restructurings.

scholarly journals Robust determinants of income distribution across and within countries

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253291
Author(s):  
Liang Frank Shao
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Income Distribution ◽  
Empirical Studies ◽  
Time Variable ◽  
Omitted Variables ◽  
Cross Sectional ◽  
Innovative Strategy ◽  
Positive Effects ◽  
Selection Operator

Multicollinearity widely exists in empirical studies, which leads to imprecise estimation and even endogeneity when omitted variables are correlated with any regressors. We apply an innovative strategy, different from the usual tools (instrumental variable, ridge regression, and least absolute shrinkage and selection operator), to estimate the robust determinants of income distribution. We transform panel data into (quasi-) cross-sectional data by removing country and time effects from the data so that all variables become zero mean and orthogonal to the country dummies and time variable, and multicollinearity becomes very low or even disappears with the quasi-cross sectional data in any specifications regardless of country dummies and time variable being included or not. Our contribution is threefold. First, we build a general method to address the multicollinearity issue in panel data, which is to isolate the common contents of correlated variables and ensures robust estimates in different specifications (dynamic or static specifications) and estimators (within- or between-effects estimators). Second, we find no evidence for the Kuznets hypothesis within and across countries; investment is economically and statistically the most robust determinant of income inequality; meanwhile, labor income share shows robustly and consistently positive effects on income inequality, which challenges the related literature. Last, simulations with our estimates show that the total marginal effects of development (regarding GDP, capital stock and investment) on income inequality are very likely to be positive within and between countries except that the impacts on middle-60% and top-quintile income shares are not so likely to increase income inequality across countries.

scholarly journals Trend of income inequality in Asia and effects of education

2020 ◽  
Vol 10 (2) ◽  
pp. 42-59
Author(s):  
Kang Park
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Income Distribution ◽  
Educational Inequality ◽  
Level Of Education ◽  
Education Inequality ◽  
Marginal Effects ◽  
Negative Effect ◽  
Educational Variables ◽  
Unbalanced Panel Data

This study considers how education and globalization affect income inequality in Asia, with the unbalanced panel data. The evidence supports the validity of Kuznets inverted-U hypothesis for the connection between the income level and income inequality. However, when more variables are integrated into the model, the consistency of inverse U-shaped curve becomes weaker. The empirical results suggest that educational variables are highly influential in affecting income distribution. Our analysis indicates that a higher level of education achieved by the population aged 15 and over has improved income distribution in Asia, while educational inequality, measured by the educational Gini, has a negative effect on income distribution. Higher levels of globalization are correlated with higher levels of income inequality, while freedom, either political or economic, has marginal effects on the level of inequity in income distribution. Key words: Education inequality, globalisation, income inequality

Credit Market Depth and Income Inequality in Vietnam: A Panel-Data Analysis

2016 ◽  
pp. 5-18
Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Inflection Point ◽  
Panel Data Analysis ◽  
Credit Market ◽  
Method Of Moment ◽  
Market Depth ◽  
Generalized Method Of Moment

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.

Competition Law and Income Inequality: A Panel Data Econometric Approach

2020 ◽  
Author(s):  
Amit Zac ◽  
Carola Casti ◽  
Christopher Decker ◽  
Ariel Ezrachi
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Competition Law ◽  
Econometric Approach

Philanthropy and Income Inequality

2018 ◽  
Author(s):  
Elizabeth Anderson ◽  
Ing-Haw Cheng ◽  
Harrison Hong
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Tax Policies ◽  
Middle Income ◽  
Alternative Models ◽  
Tax Relief ◽  
Bill Gates ◽  
Welfare Implications ◽  
Tax Cuts

Bill Gates recently argued that philanthropy by households at the top of the income distribution might help ameliorate income inequality, and that tax policies should take this into account. Much of the research in economics on giving has been focused on middle-income households, so we know very little about the motives for giving by the very rich. We provide some initial evidence on what drives the giving of the richest Americans. First, we extrapolate anthropological evidence on how status concerns might influence philanthropy. Second, since the richest own a significant amount of equity, we use the Jobs and Growth Tax Relief Act of 2003 to see how their giving responded to unanticipated tax cuts, particularly for dividends. Third, we consider the welfare implications of philanthropy as opposed to alternative models for redistributing the wealth of the extremely rich.

scholarly journals Income Distribution and Trade Pattern

2020 ◽  
Vol 71 (1) ◽  
pp. 1-14
Author(s):  
Sugata Marjit ◽  
Reza Oladi ◽  
Punarjit Roychowdhury
Keyword(s):  
Social Psychology ◽  
Income Inequality ◽  
Income Distribution ◽  
Behavioral Economics ◽  
Trade Pattern ◽  
Industry Trade

AbstractMotivated by recent insights from behavioral economics and social psychology, we present a theory of trade that seeks to explain inter-industry trade between countries that are similar in their production sides, but differ in their income distribution. By assuming status-dependent preferences that are non-homothetic, we show that income inequality differential can be a basis for inter-industry trade between otherwise similar economies.

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