nep-spo New Economics Papers
on Sports and Economics
Issue of 2024‒02‒12
four papers chosen by
Humberto Barreto, DePauw University


  1. "Discovering the Significance of Sports Footwear Brands through Text Analysis " By Sara Slamić Tarade
  2. Game Mining: How to Make Money from those about to Play a Game By James W. Bono; David H. Wolpert
  3. Unpacking Overconfident Behavior When Betting on Oneself By Mohammed Abdellaoui; Han Bleichrodt; Cédric Gutierrez
  4. A Two-Step Guessing Game By King King Li; Kang Rong

  1. By: Sara Slamić Tarade (Zagreb University of Applied Sciences, Vrbik 8, 10000, Zagreb, Croatia Author-2-Name: Dijana Vuković Author-2-Workplace-Name: University of North, Jurja Križanića 31b, 42000, Varaždin, Croatia Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)
    Abstract: "Objective - This paper focuses on analyzing the significance of sports footwear brands by processing large text data from the Internet. In a modern environment, the brand distinguishes a company's products or services from those of its competitors. A strong brand can help build trust with customers as they perceive the brand as reliable and trustworthy. Methodology/Technique - The study uses NLP (Natural Language Processing) methods to analyze rich text content on the Internet. The research focus is based on the application of innovative methods to determine the importance and value of a brand using NLP techniques by analyzing the content of a large corpus of text originating from websites dealing with sports footwear brands. The NLP analysis models were programmed using the low-code analysis tool KNIME. Findings - The analysis is carried out for the most well-known sports footwear brands such as Nike, Adidas, Puma, Under Armour, Reebok and Asics. The research object refers to the analysis of brand significance and the evaluation of consumer opinions on sports footwear, based on the processing of large text data from the internet. Novelty - The research results are based on an innovative approach to measuring and evaluating the brand significance in sports footwear using NLP methods to analyze large text content from the Internet. The results obtained show that this new approach to metrics and evaluation can significantly improve existing methods of brand evaluation. Type of Paper - Empirical"
    Keywords: Brand, NLP Method, Text Analysis, Online Brand Management Strategies, Sports Footwear
    JEL: M39
    Date: 2023–12–31
    URL: http://d.repec.org/n?u=RePEc:gtr:gatrjs:jmmr326&r=spo
  2. By: James W. Bono; David H. Wolpert
    Abstract: It is known that a player in a noncooperative game can benefit by publicly restricting his possible moves before play begins. We show that, more generally, a player may benefit by publicly committing to pay an external party an amount that is contingent on the game's outcome. We explore what happens when external parties -- who we call ``game miners'' -- discover this fact and seek to profit from it by entering an outcome-contingent contract with the players. We analyze various structured bargaining games between miners and players for determining such an outcome-contingent contract. These bargaining games include playing the players against one another, as well as allowing the players to pay the miner(s) for exclusivity and first-mover advantage. We establish restrictions on the strategic settings in which a game miner can profit and bounds on the game miner's profit. We also find that game miners can lead to both efficient and inefficient equilibria.
    Date: 2024–01
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2401.02353&r=spo
  3. By: Mohammed Abdellaoui (HEC Paris - Ecole des Hautes Etudes Commerciales); Han Bleichrodt (UA - Université d'Alicante, Espagne); Cédric Gutierrez (Università Bocconi)
    Abstract: Overconfident behavior, the excessive willingness to bet on one's performance, may be driven by optimistic beliefs and/or ambiguity attitudes. Separating these factors is key for understanding and correcting overconfident behavior, as they call for different corrective actions. We present a method to do so, which we implement in two incentivized experiments. The first experiment shows the importance of ambiguity attitudes for overconfident behavior. Optimistic ambiguity attitudes (ambiguity seeking) counterbalanced the effect of pessimistic beliefs, leading to neither over- nor underconfident behavior. The second experiment applies our method in contexts where overconfident behavior is expected to vary: easy versus hard tasks. Our results showed that task difficulty affected both beliefs and ambiguity attitudes. However, although beliefs were more optimistic for relative performance (rank) and more pessimistic for absolute performance (score) on easy tasks compared with hard tasks, ambiguity attitudes were always more optimistic on easy tasks for both absolute and relative performance. Our findings show the subtle interplay between beliefs and ambiguity attitudes: they can reinforce or offset each other, depending on the context, increasing or lowering overconfident behavior. This paper was accepted by Yuval Rottenstreich, behavioral economics and decision analysis. Funding: This work was supported by HEC Paris research budget and Bocconi junior researchers' grants. Supplemental Material: The data and online appendix are available at https://doi.org/10.1287/mnsc.2021.00165 .
    Date: 2023–12–06
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-04383402&r=spo
  4. By: King King Li (SAFTI - Shenzhen Audencia Financial Technology Institute); Kang Rong (Shanghai University of Finance and Economics)
    Abstract: We propose a two-step guessing game to measure the depth of thinking. We apply this method to the P beauty contest game. Using our method, we find that 81% of subjects do not make choice following best response reasoning while the classical method would suggest only 12%. The result suggests that the classical method has the fundamental problem that it cannot distinguish if a submitted number is due to best response reasoning or not. It also suggests that traditional level k analysis falsely attributes some sophistication to random players, and that the degree of false attribution is large. Our procedure provides an alternative way to identify whether the individual has best response reasoning which is essential for any positive level of depth of thinking and differentiates between the depth of thinking and random choice, and hence provides a very different conclusion, which is suggestive of limitations of the classical method.
    Keywords: P Beauty Contest, Best Response Reasoning, Experiment
    Date: 2023–12–28
    URL: http://d.repec.org/n?u=RePEc:hal:journl:hal-04376266&r=spo

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