Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Do Mothers Matter? A Comparison of Models of the Influence of Mothers' and Fathers' Educational and Occupational Status on Children's Educational Attainment

The first objective of this article is to clarify which model best captures the structure and trend of the influence of social origin on children's education. The second objective is to analyse how general conclusions on historical trends in educational reproduction change if we add mother's status background to the model. Six contrasting hypotheses are derived fromthe body of literature dealing with models on families' socioeconomic status. All hypotheses are translated into empirical models and their explained variance is compared. A pooled data set is used that contains data from the Netherlands, West Germany, and the USA. The Modified Dominance Model, that distinguishes the influence of the highest from thelowest status parent, has the best model fit. Regarding the second objective we see that adding the mother's influence to that of the father's does not change general conclusions on trends in educational reproduction. Over time the influence of both parents decreases continuously. However, the influence of the mother's education and occupational status on children's educational attainment is substantive.     

人民银行员工激励机制设计的进化博弈分析

博弈理论是当代主流经济学发展最迅速和影响最大的分支学科之一。其中,进化博弈理论由于引入了“进化稳定策略”（ESS）的概念,有效解决了博弈双方有限理性的现实问题,在解释经济管理现象时更具说服力和生命力。本文结合人民银行实际,通过构建进化博弈理论的复制动态模型,试述人民银行员工激励路径的选择及机制设计的有关问题。     

神府—东胜矿区沙漠化趋势预测与防治措施

神府－东胜矿区在特定的自然地质环境和人为因素的影响下，土地沙漠化呈不断扩展的演化趋势。矿区大规模的开发建设，更加速了沙漠化进展。本文利用典型地段的沙漠化发展速率，依据矿区总体设计规模，对矿区自然沙漠化趋势和开矿新增沙漠化土地面积进行了定量预测，并提出了相应的防治措施。     

美国农业补贴政策的演变趋势分析

从1933年第一部系统的农业法开始实行以来,美国先后出台了数十个有关农业补贴的法律,对农业进行了长期高强度的补贴,形成了有特色的补贴体系.     

未来三十年我国及省际人口变动趋势

分析了我国人口的变动特点,并对未来三十年我国及省际人口的变动趋势作了预测,论述了我国未来人口的空间分布变动特点。     

不完全合同理论的新视角——基于演化经济学的分析

长期以来,主流不完全合同理论一直没有在理论逻辑上圆满解答"合同为什么不完全",其理论基础存在很大的争议,这也导致其研究范式存在内在的逻辑矛盾与冲突,大量有关不完全合同的研究本质上却是关注完全合同。本文尝试从演化经济学的视角重新审视不完全合同理论,强调必须从知识不完全性的视角来阐释合同的不完全性,认为个体的有限认知是合同不完全性的重要理论基础,在此视角下探讨了不完全合同的功能、生成及其演变,并重新考察了权威在不完全合同中的作用。     

科学与实证——一个基于“神经元经济学”的综述

诞生于20世纪90年代中晚期的神经元经济学(Neuroeconomics)是经济学的最新分支和经济学前沿研究的最新领域,它运用现代神经科学的范式、方法和技术工具分析人类的经济行为以及脑组织(主要是神经元及其相关的神经突触联结和神经网络)在人类决策过程中的功能、作用和机制,把经济学的实证研究提升到一个前所未有的高度,对经济学传统理论提出一系列意义重大的修正,从而为经济学的发展深化开拓了一个全新的空间。     

Evolution of harvesting strategies: replicator and resource dynamics

Abstract. Economic theories of managing renewable resources, such as fisheries and forestry, traditionally assume that individual harvesters are perfectly rational and thus able to compute the harvesting strategy that maximizes their discounted profits. The current paper presents an alternative approach based on bounded rationality and evolutionary mechanisms. It is assumed that individual harvesters face a choice between two harvesting strategies. The evolution of the distribution of strategies in the population is modeled through a replicator dynamics equation. The latter captures the idea that strategies yielding above average profits are demanded more than strategies yielding below average profits, so that the first type ends up accounting for a larger part in the population. From a mathematical perspective, the combination of resource and evolutionary processes leads to complex dynamics. The paper presents the existence and stability conditions for each steady-state of the system and analyzes dynamic paths to the equilibrium. In addition, effects of changes in prices are analyzed. A main result of the paper is that under certain conditions both strategies can survive in the long-run. Correspondence to: J. Noailly     

Evolution of momentum and popularity

In this paper, the evolutionary behavior of two types of investor in a capital market with two risky competing securities is investigated. It is shown that, if all investors are momentum-oriented, then only those who are the most sensitive to popularity will survive. Conversely, if all investors are popularity-oriented, then they will all invest in the same security.