Problems, Methods and Tools in Experimental and Behavioral Economics [electronic resource] : Computational Methods in Experimental Economics (CMEE) 2017 Conference /
Nermend, Kesra.editor.
Łatuszyńska, Małgorzata.editor.
These proceedings highlight research on the latest trends and methods in experimental and behavioral economics. Featuring contributions presented at the 2017 Computational Methods in Experimental Economics (CMEE) conference, which was held in Lublin, Poland, it merges findings from various domains to present deep insights into topics such as game theory, decision theory, cognitive neuroscience and artificial intelligence. The fields of experimental economics and behavioral economics are rapidly evolving. Modern applications of experimental economics require the integration of know-how from disciplines including economics, computer science, psychology and neuroscience. The use of computer technology enhances researchers' ability to generate and analyze large amounts of data, allowing them to use non-standard methods of data logging for experiments such as cognitive neuronal methods. Experiments are currently being conducted with software that, on the one hand, provides interaction with the people involved in experiments, and on the other helps to accurately record their responses. The goal of the CMEE conference and the papers presented here is to provide the scientific community with essential research on and applications of computer methods in experimental economics. Combining theories, methods and regional case studies, the book offers a valuable resource for all researchers, scholars and policymakers in the areas of experimental and behavioral economics.
Part 1: Theoretical Aspects of Experimental and Behavioral Economics -- Mazur-Wierzbicka, E: Mainstream Economics vs. Behavioral Economics - A Contribution to Reflection -- Kiziukiewicz, T. and Jaworska, E: Behavioral Aspects of Cost Management -- Włodarczyk, K: The Financial Management of Households - Behavioral Economics Perspective -- Doszyń, M: Propensity to Risk and the Prospect Theory -- Kowgier, H: Some Theoretical Aspect of Equilibrium in Behavioral Economics -- Part 2: Methods and Tools of Contemporary Economics -- Foryś, I. and Gaca, R: Intuitive Methods Versus Analytical Methods in Real Estate Valuation: Preferences of Polish Real Estate Appraisers -- Nermend, K. and Duda, J: The Methodology of Choosing the Location of Advertising Billboards in Computer Games -- Piwowarski, M: Narzędzia Neuromarketingu w Badaniu Modeli Oddziaływania Reklam Społecznych na Odbiorców -- Borawska, A. and Maison, D: Impact of Negative Emotions on Public Awareness Campaigns Effectiveness -- Borawski, M: Use of Computer Game as an Element of Social Campaign Focusing Attention on Reliability of Information in the Internet -- Dmytrów, K. and Bieszk-Stolorz, B: Application of the Survival Trees for Estimation of the Propensity to Accepting a Job and Resignation from the Labour Office Mediation by the Long-term Unemployed People -- Cypryjański, J. and Grzesiuk, A: Expressing our Preferences with the use of AHP: The Game's not Worth the Candle? -- Furaiji, F. and Łatuszyńska, M: Experimental Study of Consumer Behavior Using Agent - Based Simulation -- Part 3: Practical Issues - Case Studies -- Rudawska, I. and Krot, K: Doctors' Communication and Its Impact on Trust in the Patient-doctor Relationship: Some Behavioral Data -- Cherubino, P., Cartocci, G., Modica, E., Rossi, D., Trettel, A. and Babiloni, F: Wine Tasting: How Much is the Contribution of the Olfaction? -- Nowakowski, M: Information Assimilation as a Decisive Factor about Websites user's Behaviors -- Zofia Filipiak, B. and Dylewski, M: Participatory Budget as an Example of Behavioral Influence in Conducting Public Policies -- Majewski, S: Confirmation Bias in Valuation of Footballers' Performance Rights -- Dmytrów, K: Comparison of the Order-picking Route and Time Obtained by using the TMAL Method with Results of Selected Take-out Strategies -- Kryk, B: Gra Symulacyjna "Krok w Przyszłość" Jako Narzędzie Ekonomii Eksperymentalnej - Case Study -- Baran, P. and Markowicz, I: Behavioral Economics and Rationality of Certain Economic Activities. The Case of Intra-Community Supplies -- Czerwonka, M., Staniszewska, A. and Kompa, K: Cognitive Reflection Test to Predict Rational Behavior in the Dictator Game -- Nagaj, R. and Žuromskaitė, B: A Scientific Experiment as a Method of the Assessing Lithuanian and Polish Outbound Tourists' Preferences in the Context of Terrorism Threat -- Nagaj, R. and Žuromskaitė, B: The Role of Behavioral Methods used in Research of Tourism Development.
These proceedings highlight research on the latest trends and methods in experimental and behavioral economics. Featuring contributions presented at the 2017 Computational Methods in Experimental Economics (CMEE) conference, which was held in Lublin, Poland, it merges findings from various domains to present deep insights into topics such as game theory, decision theory, cognitive neuroscience and artificial intelligence. The fields of experimental economics and behavioral economics are rapidly evolving. Modern applications of experimental economics require the integration of know-how from disciplines including economics, computer science, psychology and neuroscience. The use of computer technology enhances researchers' ability to generate and analyze large amounts of data, allowing them to use non-standard methods of data logging for experiments such as cognitive neuronal methods. Experiments are currently being conducted with software that, on the one hand, provides interaction with the people involved in experiments, and on the other helps to accurately record their responses. The goal of the CMEE conference and the papers presented here is to provide the scientific community with essential research on and applications of computer methods in experimental economics. Combining theories, methods and regional case studies, the book offers a valuable resource for all researchers, scholars and policymakers in the areas of experimental and behavioral economics.
Behavioral economics.
Econometrics.
Social sciences
Behavioral/Experimental Economics.
Econometrics.
Computer Appl. in Social and Behavioral Sciences.