Estimating the bias in technical change: a nonparametric approach

DOI10.1016/j.econlet.2017.05.023zbMath1401.62233OpenAlexW2620993864MaRDI QIDQ1782313

Jens J. Krüger, Benjamin Hampf

Publication date: 20 September 2018

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.econlet.2017.05.023

zbMATH Keywords

data envelopment analysisbiased technical changeendogenous directions

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05)

Related Items (1)

Firm-heterogeneous biased technological change: a nonparametric approach under endogeneity

Cites Work

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• Measuring the efficiency of decision making units
• DEA based on strongly efficient and inefficient frontiers and its application on port efficiency measurement
• Productivity Differences
• Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
• Biased Technical Change and the Malmquist Productivity Index
• Directed Technical Change

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