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Variable Income Equivalence Scales [electronic resource] : An Empirical Approach / by Carsten Schröder.

By: Contributor(s): Material type: TextTextSeries: Contributions to EconomicsPublisher: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2004Edition: 1st ed. 2004Description: VIII, 168 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783790827118
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 339
LOC classification:
  • HB172.5
Online resources:
Contents:
1.1 A Brief Overview -- 1.2 Objective of the Thesis -- 1.3 Structure of the Thesis -- Equivalence-Scale Measurement -- 2.1 Expert Approaches -- 2.2 Economic Approaches -- 2.3 Survey Approaches -- The Potential Dependence of Equivalence Scales on Income -- 3.1 Plausibility of Constant Equivalence Scales -- 3.2 Empirical Picture -- 3.3 Conclusion -- Equivalence Scales, Employment and Household Production -- 4.1 The Earnings-Capacity Argument -- 4.2 The Household Production Argument -- 4.3 Conclusion -- A New Consensual Approach -- 5.1 Introduction -- 5.2 The New Survey Design -- 5.3 On the Choice of Income as an Indicator of Well-Being -- 5.4 Validity and Reliability: Test Methods -- Survey I -- 6.1 Motivation and Outline -- 6.2 Questionnaire Design -- 6.3 Breakdown of the Samples -- 6.4 Regression Model, Notation, and Data Preparation -- 6.5 Country-specific Regression Analysis -- 6.6 Cross-country Differences -- 6.7 Descriptive Analysis -- 6.8 Validity -- 6.9 Reliability -- Survey II -- 7.1 Motivation and Outline -- 7.2 On Internet Surveys -- 7.3 Questionnaire Design -- 7.4 Breakdown of the Samples -- 7.5 Regression Model, Notation, and Data Preparation -- 7.6 Country-specific Regression Analysis -- 7.7 Cross-country Differences -- 7.8 Descriptive Analysis -- 7.9 Validity -- 7.10 Reliability -- Conclusion -- List of Symbols -- List of Figures and Tables -- References.
In: Springer Nature eBookSummary: The book presents a new survey method for assessing equivalence scales. While previous surveys have frequently been accused of providing data which are substantially biased by respondents' personal characteristics and other subjective biases the new method keeps bias to an absolute minimum. Another key feature is that the derived data adds information as to the impact of two key variables on equivalence scales: income and the number of employed household members. In contrast to the standard 'independence of base assumption', the equivalence scales presented are inversely related to the income level of the reference household (a single adult), and increase in the number of employed household members. .
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1.1 A Brief Overview -- 1.2 Objective of the Thesis -- 1.3 Structure of the Thesis -- Equivalence-Scale Measurement -- 2.1 Expert Approaches -- 2.2 Economic Approaches -- 2.3 Survey Approaches -- The Potential Dependence of Equivalence Scales on Income -- 3.1 Plausibility of Constant Equivalence Scales -- 3.2 Empirical Picture -- 3.3 Conclusion -- Equivalence Scales, Employment and Household Production -- 4.1 The Earnings-Capacity Argument -- 4.2 The Household Production Argument -- 4.3 Conclusion -- A New Consensual Approach -- 5.1 Introduction -- 5.2 The New Survey Design -- 5.3 On the Choice of Income as an Indicator of Well-Being -- 5.4 Validity and Reliability: Test Methods -- Survey I -- 6.1 Motivation and Outline -- 6.2 Questionnaire Design -- 6.3 Breakdown of the Samples -- 6.4 Regression Model, Notation, and Data Preparation -- 6.5 Country-specific Regression Analysis -- 6.6 Cross-country Differences -- 6.7 Descriptive Analysis -- 6.8 Validity -- 6.9 Reliability -- Survey II -- 7.1 Motivation and Outline -- 7.2 On Internet Surveys -- 7.3 Questionnaire Design -- 7.4 Breakdown of the Samples -- 7.5 Regression Model, Notation, and Data Preparation -- 7.6 Country-specific Regression Analysis -- 7.7 Cross-country Differences -- 7.8 Descriptive Analysis -- 7.9 Validity -- 7.10 Reliability -- Conclusion -- List of Symbols -- List of Figures and Tables -- References.

The book presents a new survey method for assessing equivalence scales. While previous surveys have frequently been accused of providing data which are substantially biased by respondents' personal characteristics and other subjective biases the new method keeps bias to an absolute minimum. Another key feature is that the derived data adds information as to the impact of two key variables on equivalence scales: income and the number of employed household members. In contrast to the standard 'independence of base assumption', the equivalence scales presented are inversely related to the income level of the reference household (a single adult), and increase in the number of employed household members. .

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