Estimating welfare indices: household weights and sample design

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18204

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DC Field	Value	Language
dc.creator	Cowell, Frank A.	-
dc.creator	Jenkins, Stephen P.	-
dc.date	2000	-
dc.date.accessioned	2013-10-16T06:58:51Z	-
dc.date.available	2013-10-16T06:58:51Z	-
dc.date.issued	2013-10-16	-
dc.identifier	http://hdl.handle.net/10419/18204	-
dc.identifier	ppn:320245551	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/10419/18204	-
dc.description	The techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into individual distributions) or from the point of view of sample design. The different types of weights have different implications for the sampling distribution of estimators of welfare indices.	-
dc.language	eng	-
dc.publisher	Deutsches Institut für Wirtschaftsforschung (DIW) Berlin	-
dc.relation	DIW-Diskussionspapiere 219	-
dc.rights	http://www.econstor.eu/dspace/Nutzungsbedingungen	-
dc.subject	D63	-
dc.subject	C13	-
dc.subject	ddc:330	-
dc.subject	Welfare index	-
dc.subject	inequality	-
dc.subject	poverty	-
dc.subject	sample	-
dc.subject	inference	-
dc.subject	Disparitätsmaß	-
dc.subject	Einkommensverteilung	-
dc.subject	Wohlfahrtseffekt	-
dc.subject	Index	-
dc.subject	Stichprobenverfahren	-
dc.subject	Theorie	-
dc.title	Estimating welfare indices: household weights and sample design	-
dc.type	doc-type:workingPaper	-
Appears in Collections:	EconStor

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