Direkt zur Hauptnavigation springen Direkt zum Inhalt springen
info(at)avldigital.remove-this.de
Deutsch English
Filtern nach
Aktive Filter
Letzte Suchanfragen

Ergebnisse für *

Zeige Ergebnisse 1 bis 3 von 3.

  1. Artificial intelligence, income distribution and economic growth
    Autor*in: Gries, Thomas; Naudé, Wim
    Erschienen: August 17, 2020
    Verlag:  Verein für Socialpolitik, [Köln]

    The economic impact of Artificial Intelligence (AI) is studied using a (semi) endogenous growth model with two novel features. First, the task approach from labor economics is reformulated and integrated into a growth model. Second, the standard... mehr

    Zugang:
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DSM 13
    Fernleihe:
    keine Fernleihe

     

    The economic impact of Artificial Intelligence (AI) is studied using a (semi) endogenous growth model with two novel features. First, the task approach from labor economics is reformulated and integrated into a growth model. Second, the standard represen- tative household assumption is rejected, so that aggregate demand restrictions can be introduced. With these novel features it is shown that (i) AI automation can decrease the share of labor income no matter the size of the elasticity of substitution between AI and labor, and (ii) when this elasticity is high, AI will unambiguously reduce aggre- gate demand and slow down GDP growth, even in the face of the positive technology shock that AI entails. If the elasticity of substitution is low, then GDP, productivity and wage growth may however still slow down, because the economy will then fail to benefit from the supply-side driven capacity expansion potential that AI can deliver. The model can thus explain why advanced countries tend to experience, despite much AI hype, the simultaneous existence of rather high employment with stagnating wages, productivity, and GDP.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/224623
    Schriftenreihe: Jahrestagung 2020 / Verein für Socialpolitik ; 141
    Schlagworte: Technology; artificial intelligence; productivity; labor demand; income dis-tribution; growth theory
    Umfang: 1 Online-Ressource (circa 71 Seiten)
  2. The race of man and machine: implications of technology when abilities and demand constraints matter
    Autor*in: Gries, Thomas; Naudé, Wim
    Erschienen: April 2021
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    In "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," Acemoglu and Restrepo (2018b) combine the task-based model of the labor market with an endogenous growth model to model the economic... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4
    Fernleihe:
    keine Fernleihe

     

    In "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," Acemoglu and Restrepo (2018b) combine the task-based model of the labor market with an endogenous growth model to model the economic consequences of artificial intelligence (AI). This paper provides an alternative endogenous growth model that addresses two shortcomings of their model. First, we replace the assumption of a representative household with the premise of two groups of households with different preferences. This allows our model to be demand constrained and able to model the consequences of higher income inequality due to AI. Second, we model AI as providing abilities, arguing that "abilities" better characterises the nature of the services that AI provide, rather than tasks or skills. The dynamics of the model regarding the impact of AI on jobs, inequality, wages, labor productivity and long-run GDP growth are explored.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/236372
    Schriftenreihe: Discussion paper series / IZA ; no. 14341
    Schlagworte: technology; artificial intelligence; productivity; labor demand; income distribution; growth theory
    Umfang: 1 Online-Ressource (circa 74 Seiten)
  3. Artificial intelligence, jobs, inequality and productivity
    does aggregate demand matter?
    Autor*in: Gries, Thomas; Naudé, Wim
    Erschienen: 2018
    Verlag:  Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), Maastricht, The Netherlands

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Fernleihe:
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Volltext (kostenfrei)
    Volltext (kostenfrei)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Working paper series / United Nations University, UNU-MERIT ; #2018, 047
    Schlagworte: Technology; artificial intelligence; productivity; labour demand; innovation; growth theory
    Umfang: 1 Online-Ressource (circa 42 Seiten), Illustrationen