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Displaying results 1 to 4 of 4.

  1. Growth during the time of covid19
    Author: Reside, Renato E.
    Published: [2021]
    Publisher:  [University of the Philippines School of Economics], [Diliman, Quezon City]

    This short piece discusses the results of simple regression analysis using cross country data to determine the factors that have influenced fluctuations in real output during the covid-19 pandemic period. Focus is on explaining not only output growth... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 139
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    This short piece discusses the results of simple regression analysis using cross country data to determine the factors that have influenced fluctuations in real output during the covid-19 pandemic period. Focus is on explaining not only output growth from 2020 to the first half of 2021, but also the length or duration of recessions. The most prominent factors influencing growth include the ability of a country to contain the spread of infections and vaccinate their population. The size of the covid19-induced fiscal stimulus, also matters, especially health care spending. However, the relationship is nonlinear. Beyond a certain point, fiscal spending leads to lower quarterly growth. Policy recommendations are given.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/266062
    Series: Discussion paper / UP School of Economics ; no. 2021, 08 (December 2021)
    Subjects: Economic growth; fiscal policy; government expenditures; covid19; crisis management
    Scope: 1 Online-Ressource (circa 15 Seiten)
  2. Housing demand and remote work
    Author: Mondragon, John; Wieland, Johannes
    Published: [2022]
    Publisher:  Federal Reserve Bank of San Francisco, [San Francisco, CA]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 385
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: Working papers series / Federal Reserve Bank of San Francisco ; 2022, 11 (May 2022)
    Subjects: housing; house price growth; remote work; location choice; inflation; covid19
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  3. Vaccination strategies in the midst of an epidemic
    Author: Dewatripont, Mathias
    Published: October 2021
    Publisher:  ECARES, Brussels, Belgium

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 313
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/332843
    Series: ECARES working paper ; 2021, 22
    Subjects: covid19; vaccination strategy; epidemic
    Scope: 1 Online-Ressource (circa 15 Seiten), Illustrationen
  4. Labour and technology at the time of Covid-19
    can artificial intelligence mitigate the need for proximity?
    Author: Carbonero, Francesco; Scicchitano, Sergio
    Published: 2021
    Publisher:  Global Labor Organization (GLO), Essen

    Social distancing has become worldwide the key public policy to be implemented during the COVID-19 epidemic and reducing the degree of proximity among workers turned out to be an important dimension. An emerging literature looks at the role of... more

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    Verlag (kostenfrei)
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 565
    Inter-library loan:
    No inter-library loan

     

    Social distancing has become worldwide the key public policy to be implemented during the COVID-19 epidemic and reducing the degree of proximity among workers turned out to be an important dimension. An emerging literature looks at the role of automation in supporting the work of humans but the potential of Artificial Intelligence (AI) to influence the need for physical proximity on the workplace has been left largely unexplored. By using a unique and innovative dataset that combines data on advancements of AI at the occupational level with information on the required proximity in the job-place and administrative employer-employee data on job flows, our results show that AI and proximity stand in an inverse U-shape relationship at the sectoral level, with high advancements in AI that are negatively associated with proximity. We detect this pattern among sectors that were closed due to the lockdown measures as well as among sectors that remained open. We argue that, apart from the expected gains in productivity and competitiveness, preserving jobs and economic activities in a situation of high contagion may be the additional benefits of a policy favouring digitization.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/228711
    Series: GLO discussion paper ; no. 765
    Subjects: artificial intelligence; automation; covid19; proximity
    Scope: 1 Online-Ressource (circa 26 Seiten), Illustrationen