Do Labor Market Policies and Growth Fundamentals Matter for Income Inequality in Oecd Countries? Some Empirical Evidence

Income distribution may be related to fundamentals affecting economic growth and to labor market policies. Noting that inequality is affected by unemployment. This paper presents a model in which labor market policies affect unemployment which in turn affects inequality. The model also includes the...

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Bibliographic Details
Main Author: Van Houdt, Patrick
Format: eBook
Language:English
Published: Washington, D.C. International Monetary Fund 1997
Series:IMF Working Papers
Subjects:
Online Access:
Collection: International Monetary Fund - Collection details see MPG.ReNa
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245 0 0 |a Do Labor Market Policies and Growth Fundamentals Matter for Income Inequality in Oecd Countries? Some Empirical Evidence  |c Patrick Van Houdt 
260 |a Washington, D.C.  |b International Monetary Fund  |c 1997 
300 |a 26 pages 
651 4 |a United Kingdom 
653 |a Active labor market policies 
653 |a Distribution: General 
653 |a Income 
653 |a Labor Economics Policies 
653 |a Labour 
653 |a Income distribution 
653 |a Personal income 
653 |a Labor market policy 
653 |a Fiscal Policy 
653 |a Aggregate Factor Income Distribution 
653 |a Personal Income, Wealth, and Their Distributions 
653 |a National accounts 
653 |a Labor 
653 |a Manpower policy 
653 |a Macroeconomics 
653 |a Economic Growth and Aggregate Productivity: General 
653 |a Income inequality 
653 |a Income economics 
653 |a Fiscal Policies and Behavior of Economic Agents: General 
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520 |a Income distribution may be related to fundamentals affecting economic growth and to labor market policies. Noting that inequality is affected by unemployment. This paper presents a model in which labor market policies affect unemployment which in turn affects inequality. The model also includes the effects of changes in per capita income on inequality through the accumulation of physical capital and technological know–how. When a resulting reduced–form relationship is estimated, its explanatory power is surprisingly high: on average, it explains about three quarters of the variation in inequality measures for the OECD countries, and Granger Causality tests confirm the model’s predictions