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dc.contributor.authorFalk, Martin Thomas
dc.contributor.authorHagsten, Eva
dc.date.accessioned2021-05-18T08:00:25Z
dc.date.available2021-05-18T08:00:25Z
dc.date.created2020-11-30T21:33:54Z
dc.date.issued2020
dc.identifier.citationFalk M. & Hagsten E. (2020). Technological Innovations and Labor Demand Using Linked Firm-Level Data. I K. Zimmermann (Red.), Handbook of Labor, Human Resources and Population Economics (s. 1-18). Springer, Cham.en_US
dc.identifier.isbn978-3-319-57365-6
dc.identifier.urihttps://hdl.handle.net/11250/2755356
dc.description.abstractThis chapter illustrates how the relationship between technological innovations and labor demand can be analyzed in a cross-country setting by use of harmonized, multilinked, and microaggregated firm-level data. An investigation of the relationship between new market product (market novelty) sales and labor demand (employment) derived from a two-output cost function is used as an example. The example is embedded in recent literature and discussions on data availability, data limitations, and possible estimation methods. Fixed effects estimations reveal that the sales of market novelties have a significant impact on relative employment in the representative manufacturing firm. In contrast, employment in the representative service firm does not benefit from new market products but rather from the intensity with which information and communication technology innovations are used (in this case the proportion of broadband internet connected employees). The results coincide with those in the firm-level literature, but the approach allows inclusion of a broader variety of firm characteristics, such as firm size, international experience, and ICT intensity.en_US
dc.language.isoengen_US
dc.relation.ispartofHandbook of Labor, Human Resources and Population Economics
dc.titleTechnological Innovations and Labor Demand Using Linked Firm-Level Dataen_US
dc.title.alternativeCross-country analyses of technological innovations and labor demand based on harmonized, multi-linked and micro-aggregated firm-level dataen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Springer Nature Switzerland AG 2020.en_US
dc.source.pagenumber1-18en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-319-57365-6_170-1
dc.identifier.cristin1854541
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpreprint


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