解释国际体育赛事成功与主导地位的随机人口统计模型

IF 1.2 Q3 ECONOMICS Research in Economics Pub Date : 2024-08-24 DOI:10.1016/j.rie.2024.100990

Julian Alexander Klöcker, Frank Daumann

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引用次数: 0

摘要

我们建立了一个基于人口统计的随机框架模型，通过考虑人口发展和与体育相关的人力资本积累等因素，研究经验证明的所谓先发优势如何影响国家在体育方面的长期成功。为了在体育经济学框架内阐明并正式表述这一优势，我们借鉴了随机优势的概念。由于我们的模型是动态的，因此可以展示一个国家的成功概率是如何演变的，以及在哪些条件下随机优势会减弱。

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A stochastic-demographic model to explain success and dominance in international sports

We model a stochastic, demographic-based framework to examine how an empirically proven, so-called first mover advantage affects the long-term sporting success of states by considering, among other things, demographic developments and the accumulation of sport-related human capital. In order to clarify and formalize this advantage in a sports economics framework, we draw on the concept of the stochastic dominance. Since our model is dynamic, it allows us to show how the probability of success of a nation evolves and under which conditions the stochastic dominance reduces.

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来源期刊

Research in Economics ECONOMICS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

89 days

期刊介绍： Established in 1947, Research in Economics is one of the oldest general-interest economics journals in the world and the main one among those based in Italy. The purpose of the journal is to select original theoretical and empirical articles that will have high impact on the debate in the social sciences; since 1947, it has published important research contributions on a wide range of topics. A summary of our editorial policy is this: the editors make a preliminary assessment of whether the results of a paper, if correct, are worth publishing. If so one of the associate editors reviews the paper: from the reviewer we expect to learn if the paper is understandable and coherent and - within reasonable bounds - the results are correct. We believe that long lags in publication and multiple demands for revision simply slow scientific progress. Our goal is to provide you a definitive answer within one month of submission. We give the editors one week to judge the overall contribution and if acceptable send your paper to an associate editor. We expect the associate editor to provide a more detailed evaluation within three weeks so that the editors can make a final decision before the month expires. In the (rare) case of a revision we allow four months and in the case of conditional acceptance we allow two months to submit the final version. In both cases we expect a cover letter explaining how you met the requirements. For conditional acceptance the editors will verify that the requirements were met. In the case of revision the original associate editor will do so. If the revision cannot be at least conditionally accepted it is rejected: there is no second revision.