2005
DOI: 10.2139/ssrn.825965
|View full text |Cite
|
Sign up to set email alerts
|

The Construction and Interpretation of Combined Cross-Section and Time-Series Inequality Datasets

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
8
0

Year Published

2006
2006
2016
2016

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 29 publications
1
8
0
Order By: Relevance
“…Furthermore, changes in inequality have been episodic rather than steadily trending, and apparently not "glacial" as had been previously thought (see Atkinson, 1997Atkinson, , 2000Francois and Rojas-Romagosa, 2005).…”
mentioning
confidence: 68%
“…Furthermore, changes in inequality have been episodic rather than steadily trending, and apparently not "glacial" as had been previously thought (see Atkinson, 1997Atkinson, , 2000Francois and Rojas-Romagosa, 2005).…”
mentioning
confidence: 68%
“…16 To measure income inequality we use the Gini coefficient data recently updated and re-calculated by Francois and Rojas-Romagosa (2005).…”
mentioning
confidence: 99%
“…6 We use θ=1 7 These data are part of a larger project aimed at evaluating the impact of household data comparability problems on the current empirical literature on globalization, distribution of income, and poverty. See Francois and Rojas-Romagosa (2004). 8 See Kanbur (2000) for a recent survey.…”
Section: Regression Model and Resultsmentioning
confidence: 99%