Empirical Estimation of CES Elasticity of Substitution for AI-Augmented Production

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Mateusz Maciaszek
DOI: 10.5281/zenodo.18743779
Cited by: 0

Abstract

Empirical estimation of sector-specific CES elasticity of substitution for AI-augmented production. OECD panel: 34 countries × 6 sectors × 2000–2023 Methods: First-differenced OLS (GMM-style) + Bayesian prior-data compromise Key finding: calibrated σ overestimated 2–9×; monetary regime dominates over σ calibration ABM sensitivity confirms qualitative robustness of the acceleration paradox 15-page paper, 8 figures, 3 tables

Fields of Study & Subjects

Economic Growth and Productivity Monetary Policy and Economic Impact Labor market dynamics and wage inequality

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
23 February 2026
Language
EN