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The Populist Voter : A Machine Learning Approach for the Individual Characteristics
Arin, K. Peren; Polyzos, Efstathios; Thum, Marcel P. - 2023
Populist parties recently have shaken Western democracies, yet there is no consensus regarding the characteristics of populist voters. By using large-scale surveys from four European countries (France, Germany, Spain, and the U.K.), we investigate individual determinants of populist voting. Our...
Persistent link: https://www.econbiz.de/10014348048
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The Behavioral Economics of Artificial Intelligence : Lessons from Experiments with Computer Players
March, Christoph - 2019
artificial agents more and more common. At the same time, experimental economic research has increasingly employed computer … AI-shaped future? I review 90 experimental studies using computer players. I find that, in a nutshell, humans act more … selfishly and more rational in the presence of computer players, and they are often able to exploit these players. Still, many …
Persistent link: https://www.econbiz.de/10012859609
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Priority of Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium
Cockx, Bart - 2020
Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find...
Persistent link: https://www.econbiz.de/10012833725
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Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods
Berens, Johannes - 2018
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and a private university to predict...
Persistent link: https://www.econbiz.de/10012908654
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A Machine Learning Approach to Analyze and Support Anti-Corruption Policy
Ash, Elliott; Galletta, Sergio; Giommoni, Tommaso - 2021
Can machine learning support better governance? In the context of Brazilian municipalities, 2001-2012, we have access to detailed accounts of local budgets and audit data on the associated fiscal corruption. Using the budget variables as predictors, we train a tree-based gradient-boosted...
Persistent link: https://www.econbiz.de/10013232407
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Using Machine Learning for Measuring Democracy : An Update
Gründler, Klaus; Krieger, Tommy - 2021
We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...
Persistent link: https://www.econbiz.de/10013244246
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Economic Determinants of Regional Trade Agreements Revisited Using Machine Learning
Blöthner, Simon; Larch, Mario - 2021
While traditional empirical models using determinants like size and trade costs are able to predict RTA formation reasonably well, we demonstrate that allowing for machine detected non-linear patterns helps to improve the predictive power of RTA formation substantially. We employ machine...
Persistent link: https://www.econbiz.de/10013216253
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How Communication Makes the Difference between a Cartel and Tacit Collusion : A Machine Learning Approach
Andres, Maximilian; Bruttel, Lisa; Friedrichsen, Jana - 2022
This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude...
Persistent link: https://www.econbiz.de/10014243096
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Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index
Jayachandran, Seema; Biradavolu, Monica; Cooper, Jan - 2021
We propose a new method to design a short survey measure of a complex concept such as women’s agency. The approach combines mixed-methods data collection and machine learning. We select the best survey questions based on how strongly correlated they are with a “gold standard” measure of...
Persistent link: https://www.econbiz.de/10013235120
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Citations and Incentives in Academic Contests
Amegashie, J. Atsu - 2019
There are several empirical studies of ex post analysis of citations in academia. There is no ex ante analysis of citations. I consider a game-theoretic model of a contest between scholars on the basis of two widely-used measures of citations (i.e., the h-index and total citation count) and the...
Persistent link: https://www.econbiz.de/10012860576