du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Auxiliary variables for nonresponse adjustment in business surveys
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-0971-0589
Dalarna University, School of Technology and Business Studies, Business Administration and Management.ORCID iD: 0000-0002-5043-6289
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
(English)Manuscript (preprint) (Other academic)
National Category
Business Administration
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-28521OAI: oai:DiVA.org:du-28521DiVA, id: diva2:1250740
Available from: 2018-09-24 Created: 2018-09-24 Last updated: 2018-10-26Bibliographically approved
In thesis
1. Nonresponse issues when analysing business survey data
Open this publication in new window or tab >>Nonresponse issues when analysing business survey data
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Data issues due to nonresponse or missing data arises often in company surveys or in firm data. Missing data and nonresponse causes bias. Another problem that causes bias is omitted variables. Accordingly, it will lead to wrong conclusions. The idea behind this licentiate thesis is to address these problems. The aim is to develop an insight into how common problems can be solved by transforming the data and changing the statistical method. There is no claim that the method suggested in the papers is always optimal. Rather, the goal of the papers is to give an awareness of problems that occurs in quantitative business research.

Place, publisher, year, edition, pages
Borlänge: Dalarna University, 2018
Series
Dalarna Licentiate Theses in Microdata Analysis ; 9
National Category
Economics and Business
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-28524 (URN)978-91-88679-10-9 (ISBN)
Presentation
2018-11-16, Högskolan Dalarna, Clas Ohlson, Borlänge, 13:00 (English)
Opponent
Supervisors
Available from: 2018-10-26 Created: 2018-09-25 Last updated: 2019-06-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Grek, ÅsaHartwig, FredrikDougherty, Mark

Search in DiVA

By author/editor
Grek, ÅsaHartwig, FredrikDougherty, Mark
By organisation
Microdata AnalysisBusiness Administration and Management
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 68 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf