Non-parametric analysis of optimizing behavior with measurement error
dc.contributor.author | Varian, Hal R. | en_US |
dc.date.accessioned | 2006-04-07T18:58:00Z | |
dc.date.available | 2006-04-07T18:58:00Z | |
dc.date.issued | 1985 | en_US |
dc.identifier.citation | Varian, Hal R. (1985)."Non-parametric analysis of optimizing behavior with measurement error." Journal of Econometrics 30(1-2): 445-458. <http://hdl.handle.net/2027.42/25557> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6VC0-4582JY6-36/2/fdd6f21de756fb893e8ab752f2ef4b26 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/25557 | |
dc.description.abstract | We consider how one might test observed choice data for consistency with optimizing models in the presence of measurement error. We derive an appropriate test statistic and conduct case study involving cost minimization behavior by electric utility plants. | en_US |
dc.format.extent | 903081 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Non-parametric analysis of optimizing behavior with measurement error | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/25557/1/0000099.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0304-4076(85)90150-2 | en_US |
dc.identifier.source | Journal of Econometrics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.