An Empirical Analysis of the Determinants of Perceived Inequality

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Abstract

Perception of inequality is important for the analysis of individuals motivations and decisions and for policy assessment. Despite the broad range of analytic gains that it grants, our knowledge about measurement and determinants of perception of inequality is still limited, since it is intrinsically unobservable, multidimensional, and essentially contested. Using a novel econometric approach, we study how observable individual characteristics affect the joint distribution of a set of indicators of perceived inequality in specific domains. Using data from the International Social Survey Programme, we shed light on the associations among these indicators and how they are affected by covariates. The approach also gives insights on some results in the literature on inequality. The role of many subjective indicators for the perception of inequality is re-examined and examples of policy applications are reviewed. The importance of our empirical approach to the measurement of perceived inequality is, in so doing, reinforced
Lingua originaleEnglish
pagine (da-a)264-292
Numero di pagine29
RivistaTHE REVIEW OF INCOME AND WEALTH
Volume65
Stato di pubblicazionePublished - 2019

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Empirical analysis
Individual characteristics
Covariates
Econometrics
Joint distribution

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

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title = "An Empirical Analysis of the Determinants of Perceived Inequality",
abstract = "Perception of inequality is important for the analysis of individuals motivations and decisions and for policy assessment. Despite the broad range of analytic gains that it grants, our knowledge about measurement and determinants of perception of inequality is still limited, since it is intrinsically unobservable, multidimensional, and essentially contested. Using a novel econometric approach, we study how observable individual characteristics affect the joint distribution of a set of indicators of perceived inequality in specific domains. Using data from the International Social Survey Programme, we shed light on the associations among these indicators and how they are affected by covariates. The approach also gives insights on some results in the literature on inequality. The role of many subjective indicators for the perception of inequality is re-examined and examples of policy applications are reviewed. The importance of our empirical approach to the measurement of perceived inequality is, in so doing, reinforced",
author = "Sebastiano Bavetta and {Li Donni}, Paolo",
year = "2019",
language = "English",
volume = "65",
pages = "264--292",
journal = "Review of Income and Wealth",
issn = "0034-6586",
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AU - Bavetta, Sebastiano

AU - Li Donni, Paolo

PY - 2019

Y1 - 2019

N2 - Perception of inequality is important for the analysis of individuals motivations and decisions and for policy assessment. Despite the broad range of analytic gains that it grants, our knowledge about measurement and determinants of perception of inequality is still limited, since it is intrinsically unobservable, multidimensional, and essentially contested. Using a novel econometric approach, we study how observable individual characteristics affect the joint distribution of a set of indicators of perceived inequality in specific domains. Using data from the International Social Survey Programme, we shed light on the associations among these indicators and how they are affected by covariates. The approach also gives insights on some results in the literature on inequality. The role of many subjective indicators for the perception of inequality is re-examined and examples of policy applications are reviewed. The importance of our empirical approach to the measurement of perceived inequality is, in so doing, reinforced

AB - Perception of inequality is important for the analysis of individuals motivations and decisions and for policy assessment. Despite the broad range of analytic gains that it grants, our knowledge about measurement and determinants of perception of inequality is still limited, since it is intrinsically unobservable, multidimensional, and essentially contested. Using a novel econometric approach, we study how observable individual characteristics affect the joint distribution of a set of indicators of perceived inequality in specific domains. Using data from the International Social Survey Programme, we shed light on the associations among these indicators and how they are affected by covariates. The approach also gives insights on some results in the literature on inequality. The role of many subjective indicators for the perception of inequality is re-examined and examples of policy applications are reviewed. The importance of our empirical approach to the measurement of perceived inequality is, in so doing, reinforced

UR - http://hdl.handle.net/10447/244043

M3 - Article

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SP - 264

EP - 292

JO - Review of Income and Wealth

JF - Review of Income and Wealth

SN - 0034-6586

ER -