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On the causes and consequences of deviations from rational behavior

Zēgners, Dainis; Sunde, Uwe; Strittmatter, Anthony - 2020

This paper presents novel evidence for the prevalence of deviations from rational behavior in human decision making - and for the corresponding causes and consequences. The analysis is based on move-by-move data from chess tournaments and an identification strategy that compares behavior of...

Persistent link: https://www.econbiz.de/10012237567

Data-intensive innovation and the State : evidence from AI firms in China

Beraja, Martin; Yang, David Y.; Yuchtman, Noam - 2021

Persistent link: https://www.econbiz.de/10012509952

AI-tocracy

Beraja, Martin; Kao, Andrew; Yang, David Y.; Yuchtman, Noam - 2021

Persistent link: https://www.econbiz.de/10012655860

How do workers adjust when firms adopt new technologies?

Genz, Sabrina; Gregory, Terry; Janser, Markus; Lehmer, … - 2021

We investigate how workers adjust to firms’ investments into new digital technologies, including artificial intelligence, augmented reality, or 3D printing. For this, we collected novel data that links survey information on firms’ technology adoption to administrative social security data....

Persistent link: https://www.econbiz.de/10012623549

Decisions and performance under bounded rationality : a computational benchmarking approach

Zēgners, Dainis; Sunde, Uwe; Strittmatter, Anthony - 2020

This paper presents a novel approach to analyze human decision-making that involves comparing the behavior of professional chess players relative to a computational benchmark of cognitively bounded rationality. This benchmark is constructed using algorithms of modern chess engines and allows...

Persistent link: https://www.econbiz.de/10012499843

Do robo-advisors make us better investors?

Back, Camila; Morana, Stefan; Spann, Martin - 2021

Investors increasingly can obtain assistance from "robo-advisors," artificial intelligence - enabled digitalized service agents imbued with anthropomorphic design elements that can communicate using natural language. The present article considers the impact of anthropomorphized robo-advisors on...

Persistent link: https://www.econbiz.de/10012500401

Artificial intelligence and industrial innovation : evidence from firm-level data

Rammer, Christian; Fernández, Gastón P.; Czarnitzki, Dirk - 2021 - This version: March 2021

new business models. This paper analyses the extent to which the use of AI contributes to the innovation performance of … actively using AI in their business operations or products and services in 2019. The use of AI generated additional sales with …-first innovations in the German business sector. Firms that developed AI by combining in-house and external resources obtained …

Persistent link: https://www.econbiz.de/10012500899

Web-based innovation indicators : which firm website characteristics relate to firm-level innovation activity?

Axenbeck, Janna; Breithaupt, Patrick - 2019

Web-based innovation indicators may provide new insights into firm-level innovation activities. However, little is known yet about the accuracy and relevance of web-based information. In this study, we use 4,485 German firms from the Mannheim Innovation Panel (MIP) 2019 to analyze which website...

Persistent link: https://www.econbiz.de/10012153221

An evaluation of early warning models for systemic banking crises : does machine learning improve predictions?

Beutel, Johannes; List, Sophia; Schweinitz, Gregor von - 2018

This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the...

Persistent link: https://www.econbiz.de/10011948379

Testing for consistency using artificial regressions

MacKinnon, James G.; Davidson, Russell - 1987

Persistent link: https://www.econbiz.de/10003522198