Inequality : causes and consequences / edited by Lorenzo Cappellari (Università Cattolica Milano and IZA), Solomon W. Polachek (State University of New York at Binghamton and IZA), Konstantinos Tatsiramos (University of Nottingham and IZA).

"IZA."

Includes bibliographical references.

Online resource; title from PDF title page (EBSCO, viewed March 16, 2016).

Front Cover; Inequality: Causes and Consequences; Copyright page; Contents; Editorial Advisory Board; Preface; Inequality of Opportunity in Europe: Is There a Role for Institutions?; 1. Introduction; 2. Measuring Opportunity Inequality: A Simple Model; 3. The Empirical Analysis: Income Inequality and Opportunity Inequality in Europe; 3.1. Data Description; 3.2. Circumstances; 3.3. Labour Market Participation; 3.4. Income and Opportunity Inequality Rankings in Europe; 3.5. Measuring Inequality of Opportunities; 4. The Empirical Analysis: Inequality of Opportunity and Institutions.

5. Concluding RemarksReferences; Appendix; Household Lifetime Inequality Estimates in the U.S. Labor Market; 1. Introduction; 2. Model; 2.1. Environment; 2.2. Value Functions; 2.3. Optimal Decision Rules; 3. Data; 3.1. Sample Restrictions; 3.2. Descriptive Statistics; 4. Estimation and Identification; 4.1. Identification; 4.2. Estimation Method; 4.3. Estimation Results; 5. Inequality; 5.1. Simulations and Lifetime Variables; 5.2. Inequality Measures; 5.3. Benchmark Model Results; 5.4. Counterfactual Experiments Results; 5.4.1. Labor Market Structure and Household Inequality.

5.4.2. Decomposition of Gender Differentials in Inequality6. Conclusions; References; Estimating the Intergenerational Elasticity and Rank Association in the United States: Overcoming the Current Limitations: Overcoming the currentlimitations of Taxdata ; 1. Introduction; 2. Conceptual Issues; 3. Measurement Issues and the Ideal Intergenerational Sample; 3.1. Measurement Issues; 3.2. Comparisons of Intergenerational Samples; 3.3. Estimating the IGE when Children Have Zero Income; 3.4. Estimating the IGE when Parents Have Zero Income; 4. PSID Data; 5. Results; 5.1. IGE Estimates.

5.2. Robustness Checks5.3. Sensitivity Checks in Chetty et al. (2014); 5.4. Rank-Rank Slope Estimates; 6. Conclusion; References; Income Shocks or Insurance -- What Determines Consumption Inequality?; 1. Introduction; 2. The Data; 2.1. The Panel Study of Income Dynamics; 2.2. The Imputation Procedure; 3. Methodological Framework; 3.1. The Income Process; 3.2. The Response of Consumption to Income Shocks; 3.3. Minimum Distance Estimation of the Model Parameters; 4. Results; 4.1. Results of the Minimum Distance Estimation; 4.2. Robustness; 5. Discussion; 6. Conclusion; References.

Appendix A: SAMPLE SELECTION AND VARIABLE CONSTRUCTIONAppendix B: THE IMPUTATION PROCEDURE; Appendix C: MINIMUM DISTANCE ESTIMATION; Treatment of Biennial Data; Estimation Procedure; Estimation Results; Appendix D: ROBUSTNESS; The Role of Establishments and the Concentration of Occupations in Wage Inequality; 1. Introduction; 2. The Microdata of the OES Survey; 3. The Role of Establishments; 4. Occupational Concentration: A Link between Establishments and Occupations; 4.1. Measuring Occupational Concentration; 4.2. Relationships between Occupational Concentration Measures and Wages.

Research in Labor Economics volume 43 contains new and innovative research on the causes and consequences of inequality.

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