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dc.contributor.author
Bannert, Matthias
dc.contributor.author
Dibiasi, Andreas
dc.date.accessioned
2017-10-18T13:58:56Z
dc.date.available
2017-06-11T11:13:15Z
dc.date.available
2017-10-18T13:58:56Z
dc.date.issued
2014-07
dc.identifier.uri
http://hdl.handle.net/20.500.11850/86957
dc.identifier.doi
10.3929/ethz-a-010193021
dc.description.abstract
Business Tendency Surveys (BTS) continue to be an important source of timely informa- tion on business cycles in many countries. We address quality of economic survey data by uncovering the relation between unit non-response and participant characteristics on company respectively respondent level. We use a unique, matched dataset that merges rich business tendency survey panel data with data from an exclusively conducted meta survey. Our meta information enhances the set of rm characteristics by information such as valuation of business tendency surveys or perceived response burden. We use dierent count data models to explain non-response count. Our models include weighted count data regressions as well as a two part hurdle model. We nd that response burden, a company's survey track record, timeliness and participation mode are the strongest and most robust predictors of unit non-response. We also nd a weaker negative eect of the business situation on unit response. Remarkably we do not nd a signicant in uence of neither company size nor valuation of BTS on the propensity to respond to periodical qualitative BTS.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
KOF Swiss Economic Institute, ETH Zurich
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Hurdle model
en_US
dc.subject
ERHEBUNGSVERFAHREN (SOZIALWISSENSCHAFTEN)
en_US
dc.subject
ECONOMIC RESEARCH
en_US
dc.subject
BUSINESS CYCLE
en_US
dc.subject
Response behavior
en_US
dc.subject
WIRTSCHAFTSFORSCHUNG
en_US
dc.subject
Qualitative surveys
en_US
dc.subject
SURVEY METHODS (SOCIAL SCIENCES)
en_US
dc.subject
Count data
en_US
dc.subject
Selectivity
en_US
dc.subject
Business tendency surveys
en_US
dc.subject
Unit non-response
en_US
dc.subject
KONJUNKTURZYKLUS
en_US
dc.subject
Participant level
en_US
dc.title
Unveiling Participant Level Determinants of Unit Non-Response in Business Tendency Surveys
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2014
ethz.journal.title
KOF Working Papers
ethz.journal.volume
363
en_US
ethz.size
32 p.
en_US
ethz.code.ddc
DDC - DDC::3 - Social sciences::330 - Economics
en_US
ethz.identifier.nebis
010193021
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
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.::02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
en_US
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.::02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
ethz.date.deposited
2017-06-11T11:18:15Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59366b609543512807
ethz.identifier.importid
imp5936521e2f06a11453
ethz.ecolpid
eth:8861
ethz.ecitpid
pub:136880
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T00:02:02Z
ethz.rosetta.lastUpdated
2021-02-14T19:29:43Z
ethz.rosetta.versionExported
true
ethz.COinS
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