Анализ лабораторной серии экспериментов "Интернет-трафик"
This paper presents statistics of a controlled laboratory gift-exchange-game experiment. These numbers can be used for assumptions about human behavior in analysis of noisy web data. The experiment was described in ‘The Impact of Social Comparisons on Reciprocity’ by Gachter et al. 2012. As already shown in relevant literature from experimental economics, human decisions deviate from rational payoff maximization. The average gift rate was 31%. Gift rate was under no conditions zero. Further, we derive some additional findings and calculate their significance.
We used a mobile eye-tracking system (in the form of glasses) to study the characteristics of visual perception in decision making in the Prisoner's Dilemma game. In each experiment, one of the 12 participants was equipped with eye-tracking glasses. The experiment was conducted in three stages: an anonymous Individual Game stage against a randomly chosen partner (one of the 12 other participants of the experiment); a Socialization stage, in which the participants were divided into two groups; and a Group Game stage, in which the participants played with partners in the groups. After each round, the respondent received information about his or her personal score in the last round and the overall winner of the game at the moment. The study proves that eye-tracking systems can be used for studying the process of decision making and forecasting. The total viewing time and the time of fixation on areas corresponding to noncooperative decisions is related to the participants’ overall level of cooperation. The increase in the total viewing time and the time of fixation on the areas of noncooperative choice is due to a preference for noncooperative decisions and a decrease in the overall level of cooperation. The number of fixations on the group attributes is associated with group identity, but does not necessarily lead to cooperative behavior.
In this paper, we want to introduce experimental economics to the field of data mining and vice versa. It continues related work on mining deterministic behavior rules of human subjects in data gathered from experiments. Game-theoretic predictions partially fail to work with this data. Equilibria also known as game-theoretic predictions solely succeed with experienced subjects in specific games – conditions, which are rarely given. Contemporary experimental economics offers a number of alternative models apart from game theory. In relevant literature, these models are always biased by philosophical plausibility considerations and are claimed to fit the data. An agnostic data mining approach to the problem is introduced in this paper – the philosophical plausibility considerations follow after the correlations are found. No other biases are regarded apart from determinism. The dataset of the paper “Social Learning in Networks” by Choi et al 2012 is taken for evaluation. As a result, we come up with new findings. As future work, the design of a new infrastructure is discussed.
Ambiguity attitudes have been prominently used in economic models, but we still know little about their demographic correlates or their generalizability beyond the West. We analyze the ambiguity attitudes of almost 3,000 students across thirty countries. For gains, we find ambiguity aversion everywhere, while ambiguity aversion is much weaker for losses. Ambiguity attitudes change systematically with probabilities for both gains and losses. Much of the between-country variation can be explained through a few macroeconomic characteristics. In contrast, we find massive unexplained variation at the individual level. We also find much unexplained heterogeneity in individual responses to different decision tasks.
Hegel’s philosophy has witnessed periods of revival and oblivion, at times considered to be an unrivalled and all-embracing system of thought, but often renounced with no less ardour. This book renews the dialogue with Hegel by looking at his legacy as a source of insight and judgement that helps us rethink contemporary economics. This book focuses on a concept of institution which is equally important for Hegel's political philosophy and for economic theory to date.
The key contributions of this Hegelian perspective on economics lead us to the synthesis of traditional approaches and new ideas gained in economic experiments and advanced by neuroeconomists, sociologists and cognitive scientists. The proper account of contemporary 'civil society' involves comprehending it as a historically evolving totality of individual minds, ideas and intersubjective structures that are mutually dependent, tied by recognitive relations, and assert themselves as a whole in the ongoing performative movement of 'objective spitit'. The ethics of recognition is paired with the ethics of associations that supports moral principles and gives them true, concrete universality.
This unusual constellation of seemingly remote fields suggests that Hegel, read in a pragmatist mode, anticipated the new theories and philosophies of extended mind, social cognition and performativity. By providing a new conceptual apparatus and reformulating the theory of institutions in the light of this new synthesis, this book claims to give new meaning both to Hegel as interpreted from today, and to the social sciences. Seen from this perspective, such phenomena as cooperation in games, personal identity or justice in the version of Amartya Sen's 'realization-focused comparisons' are reinscribed into the logic of institutional theory. This 'Hegel' clearly goes beyond the limits of philosophical discussion and becomes a decisive reference for economists, sociologists, political scientists and other scholars who study the foundations and consequences of human sociality and try to explore and design the institutions necessary for a worthy common life.
Workshop concentrates on an interdisciplinary approach to modeling human behavior incorporating data mining and/or expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments can be compared with noisy industrial data-sets from the web e.g.. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to research from industrial data science. Market leaders in Big Data, as Microsoft, Facebook, and Google, have already realized the importance of experimental economics know-how for their business. In Experimental Economics, although financial rewards restrict subjects preferences in experiments, exclusive application of analytical game theory is not enough to explain the collected data. It calls for the development and evaluation of more sophisticated models. The more data is used for evaluation, the more statistical significance can be achieved. Since large amounts of behavioral data are required to scan for regularities, along with automated agents needed to simulate and intervene in human interactions, Machine Learning is the tool of choice for research in Experimental Economics. This workshop is aimed at bringing together researchers from both Data Analysis and Economics in order to achieve mutually-beneficial results.
This paper presents a preliminary analysis of hotel room prices in several European cities based on the data from Booking.com website. The main question raised in the study is whether early booking is advantageous indeed, and if so, how early should it be? First a script was developed to download more than 600 thousand hotel offers for reservations from 25 March 2013 to 17 March 2014. Then an attempt to discover more details concerning the early booking effect was made via basic statistics, graphical data representation and hedonic pricing analysis. It was revealed that making reservations in advance can be really gainful, although more data and research are needed to measure the exact numbers, as they depend on at least seasonality and city.