Estimating the bias in technical change: A nonparametric approach

Benjamin Hampf and Jens Krüger ()

Economics Letters, 2017, vol. 157, issue C, 88-91

Abstract: In this note we propose a nonparametric methodology to estimate the bias in technical change. We apply the model to estimate the direction of technical progress for a sample of 81 countries covering the period 1970–2014. Our results confirm previous findings that during the 1980s technical change in industrialized countries has become increasingly capital-using. Moreover, we find that patterns in the bias of technical change have converged among different country groups after the productive decade 1995–2004.

Keywords: Biased technical change; Endogenous directions; Data envelopment analysis (search for similar items in EconPapers)
JEL-codes: C14 D24 O30 O47 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016517651730201X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:157:y:2017:i:c:p:88-91

DOI: 10.1016/j.econlet.2017.05.023

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().