Working paper icon

Working paper

Measurement errors and multidimensional poverty

Subtitle:
OPHI working paper no. 50
Abstract:

Under quite likely conditions, data measurement errors can cause an (upward) bias in unidimensional poverty estimates and thus mislead both conceptual analyses and policy implications. In the case of multidimensional poverty, we find that by proposing a dual cut-off strategy, the Alkire-Foster method will typically attenuate this bias. With data from a 2010 Living Standard Measurement Survey (LSMS) from Peru, we find empirical evidence in support of this virtue of the dual cut-off strategy.

Publication status:
Published
Peer review status:
Reviewed (other)
Version:
Publisher's version

Actions


Access Document


Files:

Authors


More by this author
Institution:
Universidad de Piura
Role:
Author
More by this author
Institution:
Universidad de Piura
Role:
Author

Contributors

Economic and Social Research Council More from this funder
Robertson Foundation More from this funder
Georg-August-Universität Göttingen More from this funder
Expand funders...
Publisher:
Oxford Poverty & Human Development Initiative (OPHI) Publisher's website
Publication date:
2012-01-01
ISSN:
2040-8188
URN:
uuid:76f29c49-3c03-4d2d-92a3-37dd4cf5f539
Local pid:
ora:9462
ISBN:
978-1-907194-36-8

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP