Measuring trends in US income inequality: theory and applications
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Berlin u.a.
Springer
1998
|
| Schriftenreihe: | Lecture notes in economics and mathematical systems
459 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 195 S. graph. Darst. |
| ISBN: | 3540642293 |
Internformat
MARC
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| 245 | 1 | 0 | |a Measuring trends in US income inequality |b theory and applications |c Hang K. Ryu ; Daniel J. Slottje |
| 264 | 1 | |a Berlin u.a. |b Springer |c 1998 | |
| 300 | |a XI, 195 S. |b graph. Darst. | ||
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| 650 | 7 | |a Revenu - Répartition - Modèles économétriques |2 ram | |
| 650 | 4 | |a Ökonometrisches Modell | |
| 650 | 4 | |a Income distribution -- United States -- Econometric models | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Table of Contents
Foreword v
1 Introduction 1
1.1 Introduction 1
1.2 A Brief Review of the Literature 2
1.3 An Overview of Recent Trends in Income Inequality in the U.S. 4
1.4 The Plan of the Book 8
2 The Maximum Entropy Estimation Method 11
2.1 Review of Jaynes (1979) Concentration Theorem 12
2.2 Determination of a Maximum Entropy Density Function
Given Known Moments 13
2.3 Estimation of the Maximum Entropy (ME) Density Function
When Moments are Unknown 20
2.3 1 Estimation of the Exponential Density Function (N = l) 22
2.3.2 Estimation of the Normal Density Function (N = 2) 28
2.4 Estimation of the Exponential Density Function for N 2 34
2.5 Asymptotic Properties of the Maximum Entropy Density Function 37
2.6 Maximum Entropy Estimation of Univariate Regression Functions 40
2.7 Model Selection for Maximum Entropy Regression 45
3 Capabilities and Earnings Inequality 49
3.1 Introduction 49
3.2 The Theory 51
3.2.1 The Earnings Potential Accumulation Model 51
3.2.2 A Semiparametric Transformation from Earnings to Capability 54
3.2.3 The Loglinear Transformation Function 58
3.3 Empirical Results 59
3.3.1 A Transformation from Earnings to Normally
Distributed Capability 60
3.3.2 A Loglinear Transformation without the Normality
Assumption for Capability 64
3.4 Summary and Concluding Remarks 67
Appendix 3.A . Derivation of an Earnings Distribution With
Maximum Entropy Method 68
x Contents
4 Some New Functional Forms for Approximating
Lorenz Curves 71
4.1 Introduction 71
4.2 A Flexible Lorenz Curve with Exponential Polynomials 74
4.3 Approximation of the Empirical Lorenz Curve 75
4.4 A Comparison of Two Alternative Derivations of the Lorenz Curves 76
4.5 Choosing an Exponential Series Expansion Rather Than a Plain
Series Expansion 78
4.6 About Expanding the Inverse Distribution Rather Than a
Lorenz Curve in a Series 79
4.7 Orthonormal Basis Expansion for Discrete Ordered Income
Observations 79
4.8 A Flexible Lorenz Curve with Bernstein Polynomials 82
4.9 Applications with Actual Data ^5
4.10 Summary and Concluding Remarks 99
5 Comparing Income Distributions Using Index Space
Representations 101
5.1 Introduction 1^1
5.2 The Theory l02
5.3 Theil s Entropy Measure ^
5.4 Maximum Entropy Estimation of Share Functions J
5.5 Motivation for Decomposing the Share Function Through the
Legendre Functions J
5.6 A Comparison of Index Space Analysis to Spectral Analysis ]19
5.7 Empirical Results l2°
5.8 Summary and Concluding Remarks ^
Appendix 5 A : A Review of the Concepts of Completeness,
Orthonormality, and Basis
6 Coordinate Space vs. Index Space Representations as
Estimation Methods : An Application to How Macro
Activity Affects the U.S. Income Distribution l37
6.1 Introduction l
6.2 The Theory ^9
Contents xi
6.3 An Index Space Representation of the Share Function 140
6.4 A Comparison of the Index Space Representation with the
Coordinate Space Representation 142
6.5 The Impact of Macroeconomic Variables on the Share Function 144
6.6 Inequality Measures Associated with the Legendre Polynomial
Expanded Share Function 146
6.7 The Empirical Results 148
6.7.1 The Performance of the Lorenz Curve Expanded in an
Exponential Polynomial Series 148
6.7.2 The Impact of Macroeconomic Variables on the Share
Function 151
6.8 Summary and Concluding Remarks 159
7 A New Method for Estimating limited Dependent
Variables . An Analysis of Hunger 161
7.1 Introduction 161
7.2 Model Specification 165
7.3 Posterior Odds Ratios to Compare Alternative Regression
Hypotheses 172
7.4 The Empirical Results 175
7.5 Summary and Concluding Remarks 181
Bibliography 183
Author Index 193
|
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| discipline | Mathematik Wirtschaftswissenschaften |
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| isbn | 3540642293 |
| language | German |
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| series2 | Lecture notes in economics and mathematical systems |
| spelling | Ryu, Hang K. Verfasser aut Measuring trends in US income inequality theory and applications Hang K. Ryu ; Daniel J. Slottje Berlin u.a. Springer 1998 XI, 195 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in economics and mathematical systems 459 Econometrische modellen gtt Inkomensverdeling gtt Revenu - Répartition - Modèles économétriques ram Ökonometrisches Modell Income distribution -- United States -- Econometric models Messung (DE-588)4038852-9 gnd rswk-swf Einkommensverteilung (DE-588)4013898-7 gnd rswk-swf USA USA (DE-588)4078704-7 gnd rswk-swf USA (DE-588)4078704-7 g Einkommensverteilung (DE-588)4013898-7 s Messung (DE-588)4038852-9 s DE-604 Slottje, Daniel Jonathan 1957- Verfasser (DE-588)121791432 aut Lecture notes in economics and mathematical systems 459 (DE-604)BV000000036 459 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008003123&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ryu, Hang K. Slottje, Daniel Jonathan 1957- Measuring trends in US income inequality theory and applications Lecture notes in economics and mathematical systems Econometrische modellen gtt Inkomensverdeling gtt Revenu - Répartition - Modèles économétriques ram Ökonometrisches Modell Income distribution -- United States -- Econometric models Messung (DE-588)4038852-9 gnd Einkommensverteilung (DE-588)4013898-7 gnd |
| subject_GND | (DE-588)4038852-9 (DE-588)4013898-7 (DE-588)4078704-7 |
| title | Measuring trends in US income inequality theory and applications |
| title_auth | Measuring trends in US income inequality theory and applications |
| title_exact_search | Measuring trends in US income inequality theory and applications |
| title_full | Measuring trends in US income inequality theory and applications Hang K. Ryu ; Daniel J. Slottje |
| title_fullStr | Measuring trends in US income inequality theory and applications Hang K. Ryu ; Daniel J. Slottje |
| title_full_unstemmed | Measuring trends in US income inequality theory and applications Hang K. Ryu ; Daniel J. Slottje |
| title_short | Measuring trends in US income inequality |
| title_sort | measuring trends in us income inequality theory and applications |
| title_sub | theory and applications |
| topic | Econometrische modellen gtt Inkomensverdeling gtt Revenu - Répartition - Modèles économétriques ram Ökonometrisches Modell Income distribution -- United States -- Econometric models Messung (DE-588)4038852-9 gnd Einkommensverteilung (DE-588)4013898-7 gnd |
| topic_facet | Econometrische modellen Inkomensverdeling Revenu - Répartition - Modèles économétriques Ökonometrisches Modell Income distribution -- United States -- Econometric models Messung Einkommensverteilung USA |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008003123&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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