Replication data for: Income Inequality, Capitalism, and Ethno-linguistic Fractionalization
Principal Investigator(s): View help for Principal Investigator(s) Jan-Egbert Sturm; Jakob De Haan
Version: View help for Version V1
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Project Description
Summary:
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We examine the relationship between capitalism and income inequality for a large sample of countries using an adjusted economic freedom index as proxy for capitalism. Our results suggest that there is no robust relationship between economic freedom and Gini coefficients based on gross income. Subsequently, we analyze the relationship between income redistribution and ethno-linguistic fractionalization. We find that the impact of ethno-linguistic fractionalization on income redistribution is conditional on the level of economic freedom: countries that have a high degree of fractionalization redistribute income less, while capitalist countries that have a low degree of fractionalization redistribute income more.
Scope of Project
Subject Terms:
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[Income inequality, ethnic fractionalisation, capitalism]
JEL Classification:
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D31 Personal Income, Wealth, and Their Distributions
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
E02 Institutions and the Macroeconomy
H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
O43 Institutions and Growth
D31 Personal Income, Wealth, and Their Distributions
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
E02 Institutions and the Macroeconomy
H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
O43 Institutions and Growth
Geographic Coverage:
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up to 108 countries
Data Type(s):
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[observational data, aggregate data]
Methodology
Data Source:
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several
Unit(s) of Observation:
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countries-years,
Related Publications
Published Versions
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