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dc.contributor.author
Finger, Robert
dc.date.accessioned
2018-02-08T08:52:51Z
dc.date.available
2017-06-08T22:25:23Z
dc.date.available
2018-02-03T07:53:12Z
dc.date.available
2018-02-08T08:52:51Z
dc.date.issued
2010-01
dc.identifier.issn
0002-9092
dc.identifier.issn
1467-8276
dc.identifier.other
10.1093/ajae/aap021
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/17187
dc.identifier.doi
10.3929/ethz-b-000017187
dc.description.abstract
Using a Monte Carlo experiment, the performance of the ordinary least squares (OLS) and the MM-estimator, a robust regression technique, is compared in an application of crop yield detrending. Assuming symmetric as well as skewed crop yield distributions, we show that the MM-estimator performs similarly to OLS for uncontaminated time series of crop yield data, and clearly outperforms OLS for outlier-contaminated samples. In contrast to earlier studies, our analysis suggests that robust regression techniques, such as the MM-estimator, should be reconsidered for detrending crop yield data.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Detrending
en_US
dc.subject
Robust regression
en_US
dc.subject
Yield distributions
en_US
dc.title
Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2010-01-01
ethz.journal.title
American Journal of Agricultural Economics
ethz.journal.volume
92
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Am. j. agric. econ.
ethz.pages.start
205
en_US
ethz.pages.end
211
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.code.jel
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q1 - Agriculture
en_US
ethz.code.jel
D - Microeconomics::D1 - Household Behavior and Family Economics
en_US
ethz.code.jel
C - Mathematical and Quantitative Methods::C1 - Econometric and Statistical Methods and Methodology: General
en_US
ethz.code.jel
D - Microeconomics::D2 - Production and Organizations
en_US
ethz.identifier.wos
ethz.identifier.nebis
000522265
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
03327 - Lehmann, Bernard
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::09564 - Finger, Robert / Finger, Robert
en_US
ethz.leitzahl.certified
03327 - Lehmann, Bernard
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::09564 - Finger, Robert / Finger, Robert
ethz.date.deposited
2017-06-08T22:25:30Z
ethz.source
ECIT
ethz.identifier.importid
imp59364c745a51964355
ethz.ecitpid
pub:29147
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T07:03:49Z
ethz.rosetta.lastUpdated
2019-02-02T14:25:36Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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