The effect of microaggregation on regression results: an application to Spanish innovation data
Alberto López
MPRA Paper from University Library of Munich, Germany
Abstract:
Microaggregation is a technique for masking confidential data by aggregation. The aim of this paper is to analyze the extent to which microaggregated data can be used for rigorous empirical research. In doing this, I adopt an empirical perspective. I use data from the Technological Innovation Panel (PITEC) and compare regression results using both original and anonymized data. PITEC is a new firm-level panel data base for innovative activities of Spanish firms based on CIS data. I find that the microaggregation procedure used has a slight effect on the coefficient estimates and their estimated standard errors, especially when estimating linear models.
Keywords: Microaggregation; Individual ranking; Bias; Innovation data (search for similar items in EconPapers)
JEL-codes: C80 O30 (search for similar items in EconPapers)
Date: 2011-01
New Economics Papers: this item is included in nep-ino, nep-knm and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/30403/1/MPRA_paper_30403.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:30403
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter (winter@lmu.de).