Firm-Heterogeneous Biased Technological ...
Document type :
Article dans une revue scientifique
Title :
Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity
Author(s) :
Dewitte, Ruben [Auteur]
Universiteit Gent = Ghent University [UGENT]
Dumont, Michel [Auteur]
Universiteit Gent = Ghent University [UGENT]
Merlevede, Bruno [Auteur]
Universiteit Gent = Ghent University [UGENT]
Rayp, Glenn [Auteur]
Universiteit Gent = Ghent University [UGENT]
Verschelde, Marijn [Auteur]
Lille économie management - UMR 9221 [LEM]
Universiteit Gent = Ghent University [UGENT]
Dumont, Michel [Auteur]
Universiteit Gent = Ghent University [UGENT]
Merlevede, Bruno [Auteur]
Universiteit Gent = Ghent University [UGENT]
Rayp, Glenn [Auteur]
Universiteit Gent = Ghent University [UGENT]
Verschelde, Marijn [Auteur]
Lille économie management - UMR 9221 [LEM]
Journal title :
European Journal of Operational Research
Pages :
1172-1182
Publisher :
Elsevier
Publication date :
2020-06-16
ISSN :
0377-2217
English keyword(s) :
Productivity and competitiveness
Technological change
Firm heterogeneity
Nonparametric
Endogeneity
Technological change
Firm heterogeneity
Nonparametric
Endogeneity
HAL domain(s) :
Sciences de l'Homme et Société
Sciences de l'Homme et Société/Gestion et management
Sciences de l'Homme et Société/Gestion et management
English abstract : [en]
We propose a fully nonparametric framework to test to what extent technological change is factor-biased and heterogeneous. We show in a Monte Carlo simulation that our framework resolves the endogeneity issue between ...
Show more >We propose a fully nonparametric framework to test to what extent technological change is factor-biased and heterogeneous. We show in a Monte Carlo simulation that our framework resolves the endogeneity issue between productivity and input choice and provides accurate estimates of firm-specific biases. For all Belgian manufacturing industries analyzed, we reject the predominant assumption of Hicks-neutral technological change over the period 1996–2015. We find that technological change is skill-biased, capital saving and domestic materials using. Moreover, we find significant heterogeneity in the pattern of technological change between and within industries. Relying on a rich dataset of firm characteristics, we provide robust indications that firm-level technological change can be attributed to specific firm strategies and technological characteristics.Show less >
Show more >We propose a fully nonparametric framework to test to what extent technological change is factor-biased and heterogeneous. We show in a Monte Carlo simulation that our framework resolves the endogeneity issue between productivity and input choice and provides accurate estimates of firm-specific biases. For all Belgian manufacturing industries analyzed, we reject the predominant assumption of Hicks-neutral technological change over the period 1996–2015. We find that technological change is skill-biased, capital saving and domestic materials using. Moreover, we find significant heterogeneity in the pattern of technological change between and within industries. Relying on a rich dataset of firm characteristics, we provide robust indications that firm-level technological change can be attributed to specific firm strategies and technological characteristics.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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