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dc.contributor.authorCoad, Alexanderen_US
dc.contributor.authorRao, Rekhaen_US
dc.date.accessioned2007-09-11en_US
dc.date.accessioned2010-05-14T11:16:26Z-
dc.date.available2010-05-14T11:16:26Z-
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/10419/31811-
dc.description.abstractThe issue of technological unemployment receives perennial popular attention. Although there are previous empirical investigations that have focused on the relationship between innovation and employment, the originality of our approach lies in our choice of method. We focus on four 2-digit manufacturing industries that are known for their high patenting activity. We then use Principal Components Analysis to generate a firm- and year-specific 'innovativeness' index by extracting the common variance in a firm’s patenting and R&D expenditure histories. To begin with, we explore the heterogeneity of firms by using semi-parametric quantile regression. Whilst some firms may reduce employment levels after innovating, others increase employment. We then move on to a weighted least squares (WLS) analysis, which explicitly takes into account the different job-creating potential of firms of different sizes. As a result, we focus on the effect of innovation on total number of jobs, whereas previous studies have focused on the effect of innovation on firm behavior. Indeed, previous studies have typically taken the firm as the unit of analysis, implicitly weighting each firm equally according to the principle of 'one firm equals one observation'. Our results suggest that firm-level innovative activity leads to employment creation that may have been underestimated in previous studies.en_US
dc.language.isoengen_US
dc.publisherMax-Planck-Inst. für Ökonomik Jenaen_US
dc.relation.ispartofseriesPapers on economics and evolution 0705en_US
dc.subject.jelL25en_US
dc.subject.jelO33en_US
dc.subject.jelJ01en_US
dc.subject.ddc330en_US
dc.subject.keywordTechnological Unemploymenten_US
dc.subject.keywordInnovationen_US
dc.subject.keywordFirm Growthen_US
dc.subject.keywordWeighted Least Squaresen_US
dc.subject.keywordAggregationen_US
dc.subject.keywordQuantile Regressionen_US
dc.subject.stwInnovationen_US
dc.subject.stwHochtechnologiesektoren_US
dc.subject.stwBeschäftigungseffekten_US
dc.subject.stwTechnischer Fortschritten_US
dc.subject.stwArbeitslosigkeiten_US
dc.subject.stwUSAen_US
dc.titleThe employment effects of innovations in high-tech industriesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn543493938en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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