Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/126289 
Autor:innen: 
Erscheinungsjahr: 
2015
Schriftenreihe/Nr.: 
WIDER Working Paper No. 2015/036
Verlag: 
The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki
Zusammenfassung: 
This paper uses recently published top 1% income share series in studying the inequality-development association. The top income shares data are of high quality and cover about a century for some countries and thus provide an interesting opportunity to study slow development processes. The empirical inequality-development studies have started to call into question the use of parametric (quadratic) specifications. To address the issue of functional form, this study exploits penalized spline methods. The association between top 1% share and development is found to experience a reversal at later stages of development and, thus, a positive link is observed in many advanced economies. Although this study is not taking a strong stand on causality, additional analysis in this paper advocates that more than sectoral shifts are needed to explain distributional changes.
Schlagwörter: 
inequality
top incomes
development
nonlinearity
longitudinal data
JEL: 
N30
O11
O15
Persistent Identifier der Erstveröffentlichung: 
ISBN: 
978-92-9230-921-3
Dokumentart: 
Working Paper

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