Multiple imputation techniques: An application to Swiss value-added data
Jean-Marie Grether and
No 21-09, IRENE Working Papers from IRENE Institute of Economic Research
We use imputation techniques and combine official data sources to address the various shortcomings affecting the analysis of value-added data at the level of production units in Switzerland. The new ad hoc databases that emerge include consistent information on value added and employment at the level of geographically localized pseudo-firms over the 2011-2015 period. Our preferred sample is obtained through multiple imputation techniques, includes 18'000 pseudo-firms per year, covers two-third of Swiss municipalities and is suitable to address productivity issues at the microeconomic level.
Keywords: Swiss firms; value-added; multiple imputation; spatial distribution. (search for similar items in EconPapers)
JEL-codes: R11 R32 (search for similar items in EconPapers)
Pages: 32 pages.
New Economics Papers: this item is included in nep-geo and nep-isf
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:irn:wpaper:21-09
Access Statistics for this paper
More papers in IRENE Working Papers from IRENE Institute of Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by Rebecca Stuart ().