Forecasting the labor intensity and labor income share for G7 countries in the digital age
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DOI: 10.1016/j.techfore.2021.120675
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- Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
- Zhang, Shangfeng & Zhu, Chun & Li, Xiujie & Yu, Xiuwen & Fang, Qi, 2022. "Sectoral heterogeneity, industrial structure transformation, and changes in total labor income share," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
- Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2022. "Labour market regimes, technology and rent-sharing in Japan," Economic Modelling, Elsevier, vol. 112(C).
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More about this item
Keywords
CES production functions; Labor share; Technological change; Artificial intelligence; Inequality;All these keywords.
JEL classification:
- J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
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