Firm-heterogeneous biased Technological Change: A Nonparametric Approach under Endogeneity

Publication Date: 
16 June 2020
Publisher: 
ScienceDirect - Elsevier
Publication Language: 
EN
Appearing in: 
European Journal of Operational Research
Volume: 
283
Issue: 
3
Pages: 
1172-1182
DOI: 
https://doi.org/10.1016/j.ejor.2019.11.063
Abstract: 

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.

Keywords: 
Productivity and Competitiveness, Technological change, Firm heterogeneity, Nonparametric Endogeneity