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Artificial Intelligence and the economics of decision-making
Naudé, Wim - 2023
decisions. In this challenge, they confront two questions: what decision theory to follow and how to implement it in AI systems …. This paper provides answers to these questions and makes three contributions. The first is to discuss how economic decision … consideration of procedural rationality, overcoming computational difficulties, and understanding decision-making in disequilibrium …
Persistent link: https://www.econbiz.de/10014230173
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Double machine learning based program evaluation under unconfoundedness
Knaus, Michael C. - 2020
This paper consolidates recent methodological developments based on Double Machine Learning (DML) with a focus on program evaluation under unconfoundedness. DML based methods leverage flexible prediction methods to control for confounding in the estimation of (i) standard average effects, (ii)...
Persistent link: https://www.econbiz.de/10012193410
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A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014535259
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Social learning and health insurance enrollment : evidence from China's New Cooperative Medical Scheme
Liu, Hong; Sun, Qi; Zhao, Zhong - 2013
Nutrition Survey, we find that the social network effects in the enrollment decision are large and significant. Furthermore, we …
Persistent link: https://www.econbiz.de/10009719735
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A double machine learning approach to estimate the effects of musical practice on student's skills
Knaus, Michael C. - 2018
This study investigates the dose-response effects of making music on youth development. Identification is based on the conditional independence assumption and estimation is implemented using a recent double machine learning estimator. The study proposes solutions to two highly practically...
Persistent link: https://www.econbiz.de/10011867890
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Artificial intelligence and reduced SMEs' business risks : a dynamic capabilities analysis during the COVID-19 pandemic
Drydakis, Nick - 2022
developed to capture the use of AI applications in core services such as marketing and sales, pricing and cash flow. Data were …
Persistent link: https://www.econbiz.de/10012822083
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Automation and related technologies: a mapping of the new knowledge base
Santarelli, Enrico; Staccioli, Jacopo; Vivarelli, Marco - 2022
Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...
Persistent link: https://www.econbiz.de/10012805445
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The race of man and machine: implications of technology when abilities and demand constraints matter
Gries, Thomas; Naudé, Wim - 2021
In "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," Acemoglu and Restrepo (2018b) combine the task-based model of the labor market with an endogenous growth model to model the economic consequences of artificial intelligence (AI). This...
Persistent link: https://www.econbiz.de/10012517812
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Crowdsourcing artificial intelligence in Africa: findings from a machine learning contest
Naudé, Wim; Bray, Amy; Lee, Celina - 2021
In this paper, we study the crowdsourcing of innovation in Africa through a data science contest on an intermediated digital platform. We ran a Machine Learning (ML) contest on the continent's largest data science contest platform, Zindi. Contestants were surveyed on their motivations to take...
Persistent link: https://www.econbiz.de/10012589259
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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. We...
Persistent link: https://www.econbiz.de/10012603258