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  • Search: subject:"unconventional data"
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Year of publication
Subject
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Job advertisements 4 Unconventional data 4 Working from home 4 Coronavirus 3 COVID-19 2 Covid-19 2 Norway 2 Telearbeit 2 Telework 2 unconventional data 2 Artificial intelligence 1 Bank 1 Bank lending 1 Bargeld 1 COVID-19 pandemic 1 Cash 1 Consumer behaviour 1 Credit risk 1 Epidemic 1 Epidemie 1 Großbritannien 1 Konsumentenverhalten 1 Kreditgeschäft 1 Kreditrisiko 1 Künstliche Intelligenz 1 Norwegen 1 Payment transactions 1 Risikomanagement 1 Risk management 1 Theorie 1 Theory 1 United Kingdom 1 Zahlungsverkehr 1 artificial intelligence 1 bank management 1 cash 1 credit risk models 1 payment habits 1
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Online availability
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Free 6 CC license 2
Type of publication
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Article 3 Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2 Article 1
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Language
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English 6
Author
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Holgersen, Henning 4 Jia, Zhiyang 4 Svenkerud, Simen 4 Ardizzi, Guerino 1 Locatelli, Rossella 1 Nobili, Andrea 1 Pepe, Giovanni 1 Rocco, Giorgia 1 Salis, Fabio 1 Uselli, Andrea 1
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Published in...
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Discussion Papers 1 Discussion papers / Statistics Norway, Research Department 1 Journal for Labour Market Research 1 Journal for labour market research 1 Questioni di economia e finanza 1 Risk management magazine 1
Source
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ECONIS (ZBW) 4 EconStor 2
Showing 1 - 6 of 6
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Artificial intelligence : new data and new models in credit risk management
Locatelli, Rossella; Pepe, Giovanni; Salis, Fabio; … - In: Risk management magazine 18 (2023) 3, pp. 4-15
During the last decade, the increase in computational capacity, the consolidation of new data processing methodologies and the availability of access to new information concerning both individuals and organizations, aided by the widespread internet usage, has increased the development and...
Persistent link: https://www.econbiz.de/10014491959
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Who and how many can work from home? Evidence from task descriptions
Holgersen, Henning; Jia, Zhiyang; Svenkerud, Simen - In: Journal for Labour Market Research 55 (2021) 1, pp. 1-13
The Covid-19 crisis has forced great societal changes, including forcing many to work from home (WFH) in an effort to limit the spread of the disease. The ability to work from home has long been considered a perk, but we have few estimates of how many jobs are actually possible to be performed...
Persistent link: https://www.econbiz.de/10012518462
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Who and how many can work from home? : Evidence from task descriptions
Holgersen, Henning; Jia, Zhiyang; Svenkerud, Simen - In: Journal for labour market research 55 (2021) 1/4, pp. 1-13
The Covid-19 crisis has forced great societal changes, including forcing many to work from home (WFH) in an effort to limit the spread of the disease. The ability to work from home has long been considered a perk, but we have few estimates of how many jobs are actually possible to be performed...
Persistent link: https://www.econbiz.de/10012485884
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Cover Image
Who and how many can work from home in Norway? Evidence from task descriptions
Holgersen, Henning; Jia, Zhiyang; Svenkerud, Simen - 2020
The COVID-19 crisis has forced great societal changes, including forcing many to work remotely (work from home) in an effort to increase social distancing. The ability to work fromhome has long been considered a perk, but we have few estimates of how many are actually able to work from home....
Persistent link: https://www.econbiz.de/10012801083
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Cover Image
Who and how many can work from home in Norway? : evidence from task descriptions
Holgersen, Henning; Jia, Zhiyang; Svenkerud, Simen - 2020
The COVID-19 crisis has forced great societal changes, including forcing many to work remotely (work from home) in an effort to increase social distancing. The ability to work fromhome has long been considered a perk, but we have few estimates of how many are actually able to work from home....
Persistent link: https://www.econbiz.de/10012239680
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A game changer in payment habits : evidence from daily data during a pandemic
Ardizzi, Guerino; Nobili, Andrea; Rocco, Giorgia - 2020
Persistent link: https://www.econbiz.de/10012813756
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