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Measuring total factor productivity, technical change and the rate of returns to research and development

Nguyen, Sang V.; Kokkelenberg, Edward C. - 1990

Persistent link: https://www.econbiz.de/10000809917

Modeling technical progress and total factor productivity : a plant level example

Kokkelenberg, Edward C. - In: Journal of productivity analysis 1 (1989) 1, pp. 21-42

Persistent link: https://www.econbiz.de/10001075770

Measuring total factor productivity, technical change and the rate of returns to research and development

Nguyen, Sang V. - In: Journal of productivity analysis 2 (1992) 4, pp. 269-282

Persistent link: https://www.econbiz.de/10001119600

The rise and fall of unions in the United States

Dinlersoz, Emin Murat; Greenwood, Jeremy - 2016

Persistent link: https://www.econbiz.de/10011537895

Automation, labor share, and productivity : plant-level evidence from U.S. manufacturing

Dinlersoz, Emin Murat; Wolf, Zoltán - 2018

Persistent link: https://www.econbiz.de/10011973922

The rise and fall of unions in the United States

Dinlersoz, Emin Murat; Greenwood, Jeremy - In: Journal of monetary economics 83 (2016), pp. 129-146

Persistent link: https://www.econbiz.de/10011709502

AI adoption in America : who, what, and where

McElheran, Kristina; Li, J. Frank; Brynjolfsson, Erik; … - National Bureau of Economic Research - 2023

Persistent link: https://www.econbiz.de/10014444444

Automation, labor share, and productivity : plant-level evidence from U.S. manufacturing

Dinlersoz, Emin Murat; Wolf, Zoltán - In: Economics of innovation and new technology 33 (2024) 4, pp. 604-626

Persistent link: https://www.econbiz.de/10014574622

AI adoption in America : who, what, and where

McElheran, Kristina; Li, J. Frank; Brynjolfsson, Erik; … - 2023

Persistent link: https://www.econbiz.de/10015062426

AI Adoption in America : Who, What, and Where

McElheran, Kristina; Li, J. Frank; Brynjolfsson, Erik; … - National Bureau of Economic Research - 2023

We study the early adoption and diffusion of five AI-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000 firms across the United States. We find that...

Persistent link: https://www.econbiz.de/10014421214