@techreport{Aerts2004Using,
abstract = {This study focuses on the impact of R&D policies in Flanders. We conduct a
treatment effects analysis at the firm level to investigate possible crowdingout
effects on the input side of the innovation process. Different
specifications of R&D activity are considered as outcome variables in the
treatment effects analysis. Applying a non-parametric matching, we
conclude that subsidized firms would have invested significantly less in
R&D activities, on average, if they had not received public R&D funding.
Thus, crowding-out effects can be rejected in this case.},
address = {Mannheim},
author = {Kris Aerts and Dirk Czarnitzki},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {O38; C25; C14; H50; 330; R&D; Subsidies; Policy Evaluation; Non-parametric matching; Forschungs- und Technologiepolitik; Forschungssubvention; Wirtschaftspolitische Wirkungsanalyse; Innovation; Industrielle Forschung; Crowding out; Sch\"{a}tzung; Belgien},
language = {eng},
number = {04-55},
publisher = {Zentrum f\"{u}r Europ\"{a}ische Wirtschaftsforschung (ZEW)},
title = {Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium},
type = {ZEW Discussion Papers},
url = {http://hdl.handle.net/10419/24064},
year = {2004}
}
