Skip to main navigation Skip to main content
info(at)avldigital.remove-this.de
Deutsch English
Last searches

Results for *

Displaying results 1 to 12 of 12.

  1. Tracking the COVID-19 crisis with high-resolution transaction data
    Author: Carvalho, Vasco M.; García, Juan Ramón; Hansen, Stephen; Ortiz, Álvaro; Rodrigo, Tomasa; Rodriguez Mora, Sevi; Ruiz, Pep
    Published: 20 April 2020
    Publisher:  Centre for Economic Policy Research, London

    Access:
    Verlag (lizenzpflichtig)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    LZ 161
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Mannheim
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP14642
    Subjects: Coronavirus; Wirtschaftskrise; Privater Konsum; Daten; Spanien; 2020
    Scope: 1 Online-Ressource (circa 32 Seiten), Illustrationen
  2. Remote work across jobs, companies, and space
    Author: Lambert, Peter; Hansen, Stephen; Bloom, Nicholas; Taska, Bledi; Sadun, Raffaella; Davis, Steven J.
    Published: [2023]
    Publisher:  Stanford Institute for Economic Policy Research (SIEPR), Stanford, CA

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    Keine Rechte
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper / Stanford Institute for Economic Policy Research (SIEPR) ; no. 23, 15 (March, 2023)
    NBER working paper series ; 31007
    Subjects: Telearbeit; Offene Stellen; Anforderungsprofil; Arbeitsnachfrage; Coronavirus; USA; Australien; Kanada; Neuseeland; Großbritannien; Telearbeit; Offene Stellen; Anforderungsprofil; Arbeitsnachfrage; Coronavirus; USA; Australien; Kanada; Neuseeland; Großbritannien; remote work; hybrid work; work from home; job vacancies; text classifiers,BERT; pandemic impact; labour markets; BERT; COVID-19
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  3. Remote work across jobs, companies, and space
    Author: Hansen, Stephen; Lambert, Peter; Bloom, Nicholas; Davis, Steven J.; Sadun, Raffaella; Taska, Bledi
    Published: February 2023
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art... more

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 4
    Inter-library loan:
    No inter-library loan

     

    The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art languageprocessing framework that we fit, test, and refine using 30,000 human classifications. We achieve 99% accuracy in flagging job postings that advertise hybrid or fully remote work, greatly outperforming dictionary methods and also outperforming other machine-learning methods. From 2019 to early 2023, the share of postings that say new employees can work remotely one or more days per week rose more than three-fold in the U.S and by a factor of five or more in Australia, Canada, New Zealand and the U.K. These developments are highly non-uniform across and within cities, industries, occupations, and companies. Even when zooming in on employers in the same industry competing for talent in the same occupations, we find large differences in the share of job postings that explicitly offer remote work.

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/272607
    Series: Discussion paper series / IZA ; no. 15980
    Subjects: Telearbeit; Offene Stellen; Anforderungsprofil; Arbeitsnachfrage; Coronavirus; USA; Australien; Kanada; Neuseeland; Großbritannien; remote work; hybrid work; work from home; job vacancies; text classifiers; BERT; pandemic impact; labour markets; COVID-19
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  4. Remote work across jobs, companies, and space
    Author: Hansen, Stephen; Lambert, Peter; Bloom, Nicholas; Davis, Steven J.; Sadun, Raffaella; Taska, Bledi
    Published: 07 March 2023
    Publisher:  Centre for Economic Policy Research, London

    Access:
    Verlag (lizenzpflichtig)
    Verlag (lizenzpflichtig)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    LZ 161
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Mannheim
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP17964
    Subjects: Telearbeit; Offene Stellen; Anforderungsprofil; Arbeitsnachfrage; Coronavirus; USA; Australien; Kanada; Neuseeland; Großbritannien; remote work; hybrid work; work from home; job vacancies; text classifiers,BERT; pandemic impact; labour markets
    Scope: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  5. Remote Work across Jobs, Companies, and Space
    Author: Hansen, Stephen; Lambert, Peter; Bloom, Nicholas; Davis, Steven J.; Sadun, Raffaella; Taska, Bledi
    Published: March 2023
    Publisher:  National Bureau of Economic Research, Cambridge, Mass

    The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art... more

    Access:
    Verlag (lizenzpflichtig)
    Resolving-System (lizenzpflichtig)

    Location:
    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Freiburg
    Inter-library loan:
    No inter-library loan

    Location:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
    Inter-library loan:
    No inter-library loan

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Inter-library loan:
    No inter-library loan

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Inter-library loan:
    No inter-library loan

     

    The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art language-processing framework that we fit, test, and refine using 30,000 human classifications. We achieve 99% accuracy in flagging job postings that advertise hybrid or fully remote work, greatly outperforming dictionary methods and also outperforming other machine-learning methods. From 2019 to early 2023, the share of postings that say new employees can work remotely one or more days per week rose more than three-fold in the U.S and by a factor of five or more in Australia, Canada, New Zealand and the U.K. These developments are highly non-uniform across and within cities, industries, occupations, and companies. Even when zooming in on employers in the same industry competing for talent in the same occupations, we find large differences in the share of job postings that explicitly offer remote work

     
    Export to reference management software   RIS file
      BibTeX file
  6. Remote work across jobs, companies and space
    Author: Bloom, Nicholas; Davis, Steven J.; Hansen, Stephen; Lambert, Peter; Sadun, Raffaella; Taska, Bledi
    Published: [2023]
    Publisher:  Centre for Economic Performance, London School of Economics and Political Science, London

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 449
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / Centre for Economic Performance ; no. 1935 (July 2023)
    Subjects: Telearbeit; Offene Stellen; Anforderungsprofil; Arbeitsnachfrage; Coronavirus; USA; Australien; Kanada; Neuseeland; Großbritannien
    Scope: 1 Online-Ressource (circa 62 Seiten), Illustrationen
  7. Tracking the COVID-19 crisis with high-resolution transaction data
    Author: Carvalho, Vasco M.; García, Juan Ramón; Hansen, Stephen; Ortiz, Álvaro; Rodrigo, Tomasa; Rodríguez Mora, José Vicente; Ruiz, José
    Published: [2020]
    Publisher:  University of Cambridge, Faculty of Economics, Cambridge

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VSP 1362
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Cambridge working paper in economics ; 2030
    Cambridge-INET working paper series ; no.: 2020, 16
    Subjects: Coronavirus; Wirtschaftskrise; Privater Konsum; Daten; Spanien
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  8. Graphical model inference with external network data
    Author: Jewson, Jack; Li, Li; Battaglia, Laura; Hansen, Stephen; Rossell, David; Zwiernik, Piotr
    Published: [2022]
    Publisher:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    A frequent challenge when using graphical models in applications is that the sample size is limited relative to the number of parameters to be learned. Our motivation stems from applications where one has external data, in the form of networks... more

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 243
    Inter-library loan:
    No inter-library loan

     

    A frequent challenge when using graphical models in applications is that the sample size is limited relative to the number of parameters to be learned. Our motivation stems from applications where one has external data, in the form of networks between variables, that provides valuable information to help improve inference. Specifically, we depict the relation between COVID-19 cases and social and geographical network data, and between stock market returns and economic and policy networks extracted from text data. We propose a graphical LASSO framework where likelihood penalties are guided by the external network data. We also propose a spike-and-slab prior framework that depicts how partial correlations depend on the networks, which helps interpret the fitted graphical model and its relationship to the network. We develop computational schemes and software implementations in R and probabilistic programming languages. Our applications show how incorporating network data can significantly improve interpretation, statistical accuracy, and out-of-sample prediction, in some instances using significantly sparser graphical models than would have otherwise been estimated.

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/272832
    Series: Cemmap working paper ; CWP22, 20
    Subjects: Deskriptive Statistik; Bayes-Statistik; Induktive Statistik; Schätztheorie; Coronavirus; Geographische Entfernung; Social Web; Kapitalmarktrendite; USA; GLASSO; Bayesian Inference; Spike-and-Slab
    Scope: 1 Online-Ressource (circa 58 Seiten), Illustrationen
  9. Graphical model inference with external network data
    Author: Jewson, Jack; Li, Li; Battaglia, Laura; Hansen, Stephen; Rossell, David; Zwiernik, Piotr
    Published: 02 November 2022
    Publisher:  Centre for Economic Policy Research, London

    Access:
    Verlag (lizenzpflichtig)
    Verlag (lizenzpflichtig)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    LZ 161
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Mannheim
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP17638
    Subjects: Deskriptive Statistik; Bayes-Statistik; Induktive Statistik; Schätztheorie; Coronavirus; Geographische Entfernung; Social Web; Kapitalmarktrendite; USA; GLASSO; Bayesian Inference; Spike-and-Slab
    Scope: 1 Online-Ressource (circa 59 Seiten), Illustrationen
  10. Firm-level risk exposures and stock returns in the wake of COVID-19
    Author: Davis, Steven J.; Hansen, Stephen; Seminario-Amez, Cristhian
    Published: September 2020
    Publisher:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised... more

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 63
    Inter-library loan:
    No inter-library loan

     

    Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers returns for firms with high exposures to travel, traditional retail, aircraft production and energy supply - directly and via downstream demand linkages - and raises them for firms with high exposures to healthcare policy, e-commerce, web services, drug trials and materials that feed into supply chains for semiconductors, cloud computing and telecommunications. Monetary and fiscal policy responses to the pandemic strongly impact firm-level returns as well, but differently than pandemic news. Despite methodological differences, dictionary and ML approaches yield remarkably congruent return predictions. Importantly though, ML operates on a vastly larger feature space, yielding richer characterizations of risk exposures and outperforming the dictionary approach in goodness-of-fit. By integrating elements of both approaches, we uncover new risk factors and sharpen our explanations for firm-level returns. To illustrate the broader utility of our methods, we also apply them to explain firm-level returns in reaction to the March 2020 Super Tuesday election results.

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/226296
    Series: CESifo working paper ; no. 8594 (2020)
    Subjects: Kapitalmarktrendite; Coronavirus; Wirkungsanalyse
    Scope: 1 Online-Ressource (circa 83 Seiten), Illustrationen
  11. Firm-level risk exposures and stock returns in the wake of COVID-19
    Author: Davis, Steven J.; Hansen, Stephen; Seminario-Amez, Cristhian
    Published: September 2020
    Publisher:  National Bureau of Economic Research, Cambridge, MA

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    W 1 (27867)
    Inter-library loan:
    Unlimited inter-library loan, copies and loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Working paper series / National Bureau of Economic Research ; 27867
    Subjects: Kapitalmarktrendite; Coronavirus; Wirkungsanalyse
    Scope: 80 Seiten, Illustrationen
    Notes:

    Erscheint auch als Online-Ausgabe
  12. Firm-level risk exposures and stock returns in the wake of Covid-19
    Author: Davis, Steven J.; Hansen, Stephen; Seminario-Amez, Cristhian
    Published: 23 September 2020
    Publisher:  Centre for Economic Policy Research, London

    Access:
    Verlag (lizenzpflichtig)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    LZ 161
    Inter-library loan:
    No inter-library loan

    Location:
    Universitätsbibliothek Mannheim
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP15314
    Subjects: Kapitalmarktrendite; Coronavirus; Wirkungsanalyse
    Scope: 1 Online-Ressource (circa 84 Seiten), Illustrationen