R&D, Attrition and Multiple Imputation in BRDIS
January 2017
Working Paper Number:
CES-17-13
Abstract
Multiple imputation in business establishment surveys like BRDIS, an annual business survey in which some companies are sampled every year or multiple years, may enhance the estimates of total R&D in addition to helping researchers estimate models with subpopulations of small sample size. Considering a panel of BRDIS companies throughout the years 2008 to 2013 linked to LBD data, this paper uses the conclusions obtained with missing data visualization and other explorations to come up with a strategy to conduct multiple imputation appropriate to address the item nonresponse in R&D expenditures. Because survey design characteristics are behind much of the item and unit nonresponse, multiple imputation of missing data in BRDIS changes the estimates of total R&D significantly and alters the conclusions reached by models of the determinants of R&D investment obtained with complete case analysis.
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:
estimating,
analysis,
investment,
data,
enterprise,
aggregate,
survey,
accounting,
imputation,
expenditure,
gdp,
expense,
imputed,
imputation model
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National Science Foundation,
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Center for Economic Studies,
Bureau of Economic Analysis,
Longitudinal Business Database,
Survey of Industrial Research and Development,
University of California Los Angeles,
Research Data Center,
North American Industry Classification System,
Business Register,
Special Sworn Status,
Business Research and Development and Innovation Survey
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