The effect of microaggregation on regression results: an application to Spanish innovation data
AbstractMicroaggregation 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 30403.
Date of creation: Jan 2011
Date of revision:
Microaggregation; Individual ranking; Bias; Innovation data;
Find related papers by JEL classification:
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-04-30 (All new papers)
- NEP-INO-2011-04-30 (Innovation)
- NEP-KNM-2011-04-30 (Knowledge Management & Knowledge Economy)
- NEP-SBM-2011-04-30 (Small Business Management)
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