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dc.contributor.authorMathiassen, Astrid
dc.contributor.authorØvensen, Geir
dc.date.accessioned2012-02-22T20:32:57Z
dc.date.available2012-02-22T20:32:57Z
dc.date.issued2007
dc.identifier.issn1892-7513
dc.identifier.urihttp://hdl.handle.net/11250/181341
dc.description.abstractThe objective of this report is to provide practical guidance for producing poverty estimates based on ”light” household surveys. Mathiassen (2005) outlines the theoretical model. A household budget survey is used to estimate a statistical consumption model where a small set of variables are linked to consumption and poverty. These indicators are then collected through light surveys in years where no household budget survey is made available. By combining the light survey indicators and the parameters from the consumption model, poverty rates and their standard errors can be predicted. The report takes the reader through each step of the procedure, from preparing and utilizing the survey datasets, selecting good indicators and predicting the poverty rates, to evaluating the predictions. The SPSS syntax generated by the INE workshops is available at: www.ssb.no/en/int.no_NO
dc.language.isoengno_NO
dc.publisherStatistisk sentralbyråno_NO
dc.relation.ispartofseriesRapporter;2007/9
dc.subjectPovertyno_NO
dc.subjectStatistical methodsno_NO
dc.subjectStatistical modelsno_NO
dc.subjectDocumentationno_NO
dc.subjectPractical guidanceno_NO
dc.subjectPoverty estimatesno_NO
dc.subjectHousehold surveysno_NO
dc.subjectPoverty indicatorsno_NO
dc.titleA practical approach for modelbased poverty predictionno_NO
dc.typeReportno_NO
dc.subject.nsiVDP::Social science: 200::Economics: 210no_NO
dc.source.pagenumber34 s.no_NO


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