Unveiling Participant Level Determinants of Unit Non-Response in Business Tendency Surveys
Open access
Date
2014-07Type
- Working Paper
ETH Bibliography
yes
Altmetrics
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. Show more
Permanent link
https://doi.org/10.3929/ethz-a-010193021Publication status
publishedJournal / series
KOF Working PapersVolume
Publisher
KOF Swiss Economic Institute, ETH ZurichSubject
Hurdle model; ERHEBUNGSVERFAHREN (SOZIALWISSENSCHAFTEN); ECONOMIC RESEARCH; BUSINESS CYCLE; Response behavior; WIRTSCHAFTSFORSCHUNG; Qualitative surveys; SURVEY METHODS (SOCIAL SCIENCES); Count data; Selectivity; Business tendency surveys; Unit non-response; KONJUNKTURZYKLUS; Participant levelOrganisational unit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
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ETH Bibliography
yes
Altmetrics