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  • Search: subject:"Biased Learning"
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Year of publication
Subject
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biased learning 4 turnover 4 Arbeitskräfte 2 Arbeitsmobilität 2 Arbeitsproduktivität 2 Bayesian Learning 2 Biased Learning 2 Labour mobility 2 Labour productivity 2 Model Misspecification 2 Momentum 2 Overconfidence 2 Reversal 2 Workforce 2 firm-sponsored training 2 overconfidence 2 truck driver 2 truckload 2 Allgemeines Gleichgewicht 1 Bayes-Statistik 1 Bayesian inference 1 Betriebliches Bildungsmanagement 1 Bias 1 Confidence 1 Employer-provided training 1 General equilibrium 1 Lastkraftwagen 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Modellierung 1 Profitability 1 Rentabilität 1 Road freight transport 1 Scientific modelling 1 Straßengüterverkehr 1 Systematischer Fehler 1 Theorie 1 Theory 1
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Online availability
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Free 6 CC license 1
Type of publication
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Book / Working Paper 4 Article 2
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
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Language
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English 6
Author
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Burks, Stephen V. 4 Hoffman, Mitchell 4 Antico, Andrea 2 Bottazzi, Giulio 2 Giachini, Daniele 2
Published in...
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Discussion paper series / IZA 1 IZA Discussion Papers 1 LEM Working Paper Series 1 LEM working paper series 1 Quantitative Economics 1 Quantitative economics : QE ; journal of the Econometric Society 1
Source
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ECONIS (ZBW) 3 EconStor 3
Showing 1 - 6 of 6
Cover Image
Pricing anomalies in a general equilibrium model with biased learning
Antico, Andrea; Bottazzi, Giulio; Giachini, Daniele - 2024
We investigate the emergence of momentum and reversal anomalies in a general equilibrium model with complete markets and cognitively biased agents, accounting for the presence of representativeness heuristic, conservatism, and anchoring and adjusting in their beliefs. We characterize anomalies...
Persistent link: https://www.econbiz.de/10014577247
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Cover Image
Pricing anomalies in a general equilibrium model with biased learning
Antico, Andrea; Bottazzi, Giulio; Giachini, Daniele - 2024
We investigate the emergence of momentum and reversal anomalies in a general equilibrium model with complete markets and cognitively biased agents, accounting for the presence of representativeness heuristic, conservatism, and anchoring and adjusting in their beliefs. We characterize anomalies...
Persistent link: https://www.econbiz.de/10014531948
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Worker overconfidence: Field evidence and implications for employee turnover and firm profits
Hoffman, Mitchell; Burks, Stephen V. - In: Quantitative Economics 11 (2020) 1, pp. 315-348
Combining weekly productivity data with weekly productivity beliefs for a large sample of truckers over 2 years, we show that workers tend to systematically and persistently overpredict their productivity. If workers are overconfident about their own productivity at the current firm relative to...
Persistent link: https://www.econbiz.de/10012215419
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Worker overconfidence : field evidence and implications for employee turnover and firm profits
Hoffman, Mitchell; Burks, Stephen V. - In: Quantitative economics : QE ; journal of the … 11 (2020) 1, pp. 315-348
Combining weekly productivity data with weekly productivity beliefs for a large sample of truckers over 2 years, we show that workers tend to systematically and persistently overpredict their productivity. If workers are overconfident about their own productivity at the current firm relative to...
Persistent link: https://www.econbiz.de/10012202367
Saved in:
Cover Image
Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training
Hoffman, Mitchell; Burks, Stephen V. - 2017
Combining weekly productivity data with weekly productivity beliefs for a large sample of truckers over two years, we show that workers tend to systematically and persistently over-predict their productivity. If workers are overconfident about their own productivity at the current firm relative...
Persistent link: https://www.econbiz.de/10011744506
Saved in:
Cover Image
Worker overconfidence : field evidence and implications for employee turnover and returns from training
Hoffman, Mitchell; Burks, Stephen V. - 2017
Combining weekly productivity data with weekly productivity beliefs for a large sample of truckers over two years, we show that workers tend to systematically and persistently over-predict their productivity. If workers are overconfident about their own productivity at the current firm relative...
Persistent link: https://www.econbiz.de/10011664442
Saved in:
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