dc.contributor.author | Mathiassen, Astrid | |
dc.date.accessioned | 2011-11-22T16:18:09Z | |
dc.date.available | 2011-11-22T16:18:09Z | |
dc.date.issued | 2005 | |
dc.identifier.issn | 1892-753x | |
dc.identifier.uri | http://hdl.handle.net/11250/180181 | |
dc.description.abstract | Abstract:
The primus inter pares of the UN-approved Millennium Development Goals is to reduce poverty. The
only internationally accepted method of estimating poverty requires a measurement of total
consumption based on a time-consuming and resource-demanding measure of household
expenditure in an integrated survey over 12 months. Rather than measuring poverty, say, only every
fifth year, a model is presented to predict poverty based on a small set of household variables to be
collected annually between two 12-monthly household surveys. Information obtained from these
"light" surveys might then be used to predict poverty rates. The key question is whether the
inaccuracy in these predictions is acceptable. It is recommended that these models be tested at a
country level and if the test results are similar to those found here, that this approach be adopted. | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Statistics Norway, Research Department | no_NO |
dc.relation.ispartofseries | Discussion Papers;No. 415 | |
dc.subject | Stochastic model | no_NO |
dc.subject | Poverty measurement | no_NO |
dc.subject | Money metric poverty | no_NO |
dc.subject | Survey methods | no_NO |
dc.subject | JEL classification: C31 | no_NO |
dc.subject | JEL classification: C42 | no_NO |
dc.subject | JEL classification: C81 | no_NO |
dc.subject | JEL classification: D12 | no_NO |
dc.subject | JEL classification: D31 | no_NO |
dc.subject | JEL classification: I32 | no_NO |
dc.title | A Statistical Model for Simple, Fast and Reliable Measurement of Poverty. A revised version of DP 415 | no_NO |
dc.type | Working paper | no_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412 | no_NO |
dc.subject.nsi | VDP::Social science: 200::Economics: 210 | no_NO |
dc.source.pagenumber | 28 s. | no_NO |