The Productivity and Unemployment Effects of the Digital Transformation: an Empirical and Modelling Assessment
Marco Raberto () and
MPRA Paper from University Library of Munich, Germany
Since the last 30 years, the economy has been undergoing a massive digital transformation. Intangible digital assets, like software solutions, web services, and more recently deep learning algorithms, artificial intelligence and digital platforms, have been increasingly adopted thanks to the diffusion and advancements of information and communication technologies. Various observers argue that we could rapidly approach a technological singularity leading to explosive economic growth. The contribution of this paper is on the empirical and the modelling side. First, we present a cross-country empirical analysis assessing the correlation between intangible digital assets and different measures of productivity. Then we figure out their long-term impact on unemployment under different scenarios by means of an agent-based macro-model.
Keywords: Intangible assets; Digital transformation; Total factor productivity; Technological unemployment; Agent-based economics (search for similar items in EconPapers)
JEL-codes: C63 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-big, nep-eff, nep-ict, nep-ore, nep-pay and nep-tid
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Journal Article: The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:98233
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