Nermend / Latuszynska / Latuszynska Experimental and Quantitative Methods in Contemporary Economics

Computational Methods in Experimental Economics (CMEE) 2018 Conference
1. Auflage 2020
ISBN: 978-3-030-30251-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, 373 Seiten, eBook

Reihe: Springer Proceedings in Business and Economics

Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.

Zielgruppe

Research

Autoren/Hrsg.

Nermend, Kesra

Latuszynska, Malgorzata

Inhaltsverzeichnis

1;Preface;6
2;Contents;8
3;Theoretical Aspects of Contemporary Economics;11
4;1 Some Remarks on Methodological Foundations of Unified Growth Theory;12
4.1;1.1 Introduction;12
4.2;1.2 Economic Growth and Development in the Theory of Economy;13
4.3;1.3 Studies on Development and Growth in Economic History;16
4.4;1.4 General Characteristics of the Unified Economic Growth Theory by Oded Galor;20
4.5;1.5 Conclusion;22
4.6;References;23
5;2 Innovative Technologies in the Process of Development of the Silver Economy;26
5.1;2.1 Introduction;27
5.2;2.2 The Essence of the Silver Economy;28
5.3;2.3 Innovative Technology as a Challenge for Science;30
5.4;2.4 Barriers to the Development of the Senior Economy;34
5.5;2.5 Conclusion;36
5.6;References;36
6;3 Possibilities of Measuring Sustainable Development—Selected Aspects;38
6.1;3.1 Introduction;38
6.2;3.2 Measurement of Sustainable Development—Introductory Issues;40
6.3;3.3 International Systems of Sustainable Development Indicators;42
6.4;3.4 Synthetic Indicators of Sustainable Development;44
6.5;3.5 Difficulties in Measuring Sustainable Development;47
6.6;3.6 Quantitative and Qualitative Methods Used in the Analysis and Forecasting of Sustainable Development;48
6.7;3.7 Summary/Conclusions;51
6.8;References;52
7;4 Designing Public Policy According to Achievements of Behavioural Economics;55
7.1;4.1 Introduction;55
7.2;4.2 Libertarian Paternalism and Nudging;56
7.3;4.3 Principles of Creating Behavioural Public Policy;59
7.4;4.4 Conclusion;62
7.5;References;63
8;5 Application of Behavioral Economics Insights to Increase Effectiveness of Public Awareness Campaigns;66
8.1;5.1 Introduction;66
8.2;5.2 Behavioral Economics and Its Foundations;67
8.3;5.3 Public Awareness Campaigns and Measurement of its Effectiveness;68
8.4;5.4 Use of Methods of Behavioral Economics in Public Awareness Campaigns;70
8.5;5.5 Conclusion;71
8.6;References;74
9;6 Experimental Methods in Behavioural Economic Sciences;77
9.1;6.1 Introduction;77
9.2;6.2 New Research Methods in Social Sciences;78
9.3;6.3 The Essence of Behavioural Economics, Finance and Accounting;79
9.4;6.4 The Effect of Marriage Between Neuroscience and Behavioural Economics;80
9.5;6.5 Types of Experimental Methods Used in Behavioural Economic Sciences;81
9.6;6.6 Laboratory Experiments;82
9.7;6.7 Simulation Experiments;84
9.8;6.8 Field Experiments;84
9.9;6.9 Neuromeasurement Methods;86
9.10;6.10 Conclusions;88
9.11;References;89
10;7 An Attempt of Knowledge Handling for Experimental Economics Domain;91
10.1;7.1 Introduction;91
10.2;7.2 Literature Review;92
10.2.1;7.2.1 Knowledge Management Mechanisms;92
10.2.2;7.2.2 Ontologies in Experimental Economics (Economy and Finance);93
10.3;7.3 Formal Foundations for Ontology for Experimental Economics Domain;94
10.4;7.4 Ontological Representation for Experimental Economics Domain;99
10.5;7.5 Conclusions;101
10.6;References;102
11;Application of Quantitative and Experimental Methods and Tools in Contemporary Economics;104
12;8 Quantitative Methods in Real Estate Mass Appraisal;105
12.1;8.1 Introduction;106
12.2;8.2 Literature Review;106
12.3;8.3 Methods;107
12.4;8.4 Empirical Results;111
12.5;8.5 Conclusions;117
12.6;References;117
13;9 Application of the Survival Analysis Methods in Contemporary Economics on the Example of Unemployment;119
13.1;9.1 Introduction;119
13.2;9.2 Data Used in the Research;120
13.3;9.3 Research Methodology;122
13.4;9.4 Analysis of Probability and Intensity of Exit from Unemployment;126
13.5;9.5 Conclusions;133
13.6;References;134
14;10 Could the Volatility Be a Measure of Investors’ Optimism?;136
14.1;10.1 Introduction;137
14.2;10.2 Behavioural Background of the Research;138
14.3;10.3 Methodology of the Research;139
14.4;10.4 Empirical Results;141
14.5;10.5 Conclusions;143
14.6;Reference;144
15;11 Factor Analysis of the Green Management in the Context of Poland Regions Sustainable Development;146
15.1;11.1 Introduction;146
15.2;11.2 Green Management as an Element of the Green Economy;147
15.3;11.3 Research Methods;149
15.4;11.4 Results;150
15.5;11.5 Conclusions;157
15.6;References;158
16;12 ESG Risk Perception in Sustainable Financial Decisions. Quantitative Methods Perspective;160
16.1;12.1 Introduction;161
16.2;12.2 ESG Factors Incorporated in Risk Assessment Toward Sustainable Financial Decisions;162
16.3;12.3 Quantitative Methods Used in ESG Risk Assessment;163
16.4;12.4 Conclusions;171
16.5;References;172
17;13 Purchase Decision Support with Internet of Things-Based Systems;176
17.1;13.1 Introduction;176
17.2;13.2 Purchase Decision Support;178
17.3;13.3 Implementation of IoT in Purchase Decision Support;179
17.3.1;13.3.1 Purchase Decision Support System;180
17.3.2;13.3.2 Employing Data from the IoT-Based System to Stimulate Desired Shopping Decisions;182
17.3.3;13.3.3 The Functions of Customer Assistance Systems and Automatic Identification Technologies in Customer Support Solutions;183
17.4;13.4 Conclusions;187
17.5;References;187
18;14 Application of EEG Metrics in the Decision-Making Process;189
18.1;14.1 Introduction;189
18.2;14.2 Limitations in the Applicability of Selected Multi-Criteria Methods;191
18.3;14.3 EEG as a Measuring Technique;193
18.4;14.4 The Metrics Used in Decisions Making;194
18.4.1;14.4.1 Frontal Asymmetry;194
18.4.2;14.4.2 Engagement;195
18.4.3;14.4.3 Distraction;196
18.4.4;14.4.4 Workload;196
18.5;14.5 Conclusions;197
18.6;References;198
19;15 Examining the Degree of Engagement of a Participant in Economic Games Using Cognitive Neuroscience Techniques;202
19.1;15.1 Introduction;202
19.2;15.2 Proposal for a Test Procedure;204
19.3;15.3 Questionnaire Survey;206
19.4;15.4 The Conception of the Economic Game;208
19.5;15.5 Study of EEG;214
19.6;15.6 Examining Procedure;216
19.7;15.7 Conclusions;216
19.8;References;217
20;16 Simulation Modeling to Verify the Efficiency of Information Transfer;218
20.1;16.1 Introduction;218
20.2;16.2 Communication and Networks;220
20.3;16.3 ATENA Communication Model;221
20.4;16.4 Measures for Communication Processes;223
20.5;16.5 Graph Model—Theoretical Assumptions;223
20.6;16.6 Results;226
20.7;16.7 Conclusions;227
20.8;References;229
21;17 Hybrid System Dynamics—Agent-Based Simulation for Research in Economics and Business;230
21.1;17.1 Introduction;231
21.2;17.2 System Dynamics Versus Agent-Based Simulation;231
21.3;17.3 Linking SD and ABS;233
21.4;17.4 Hybrid Simulation for Research in Economics and Business—A Literature Review;239
21.5;17.5 Conclusion;241
21.6;References;244
22;Practical Issues—Case Studies;250
23;18 Measuring Neurophysiological Signals, Fixations and Self-report Data for Product Placement Effectiveness Assessment in Music Videos;251
23.1;18.1 Introduction;252
23.2;18.2 Methodology and Sample;253
23.2.1;18.2.1 EEG Recording and Signal Processing;254
23.2.2;18.2.2 The Autonomic Data Recordings and Signal Processing;255
23.2.3;18.2.3 Eye Tracker Recordings and Signal Processing;255
23.2.4;18.2.4 Data Analysis;256
23.3;18.3 Results;256
23.3.1;18.3.1 Eye Fixations and Recall of Products;256
23.3.2;18.3.2 Spontaneous Recall of Videos: Product Placement Videos Versus Non-product Placement Videos;258
23.3.3;18.3.3 Mental Effort: Product Placement Videos Versus Non-product Placement Videos;258
23.3.4;18.3.4 Emotion Engagement: Product Placement Videos Versus Non-product Placement Videos;260
23.4;18.4 Discussion;260
23.5;18.5 Conclusion;261
23.6;References;261
24;19 Objective and Subjective Perception of Real Estate Features in the Light of an Experimental Study;264
24.1;19.1 Introduction;264
24.2;19.2 Literature Review;265
24.3;19.3 Scope of Data and Organization of the Study;267
24.4;19.4 Test Results;269
24.5;19.5 Conclusions;272
24.6;References;273
25;20 Optimization of Location Attractiveness Zones for the Purpose of Property Mass Appraisal;275
25.1;20.1 Introduction;276
25.2;20.2 Location Attractiveness Zones;277
25.3;20.3 Source Data and Research Assumptions;279
25.4;20.4 Research and Results;280
25.5;20.5 Conclusions;285
25.6;References;285
26;21 Market Timing Models for Equity Funds Operating on the Polish Market in the Years 2003–2017;288
26.1;21.1 Introduction;289
26.2;21.2 Literature Review;290
26.3;21.3 Models of Portfolio Investment Management Skills;291
26.4;21.4 Methodical Assumptions;292
26.4.1;21.4.1 Research Results in 2003–2017;293
26.4.2;21.4.2 Research Results in Five-Year Periods;295
26.4.3;21.4.3 Research Results in Two-Year Periods;298
26.5;21.5 Conclusion;303
26.6;References;305
27;22 Identification of EU Countries Due to the Quality of Data on Intra-Community Supplies of Goods Shipped from Poland in the Years 2005–2017;307
27.1;22.1 Introduction;308
27.2;22.2 The Need and Ways of Identifying Irregularities in Mirror Data—Literature Review;309
27.3;22.3 Analysis Framework;310
27.4;22.4 Data and Methodology;313
27.5;22.5 Quality of Data on Poland’s Intra-Community Supplies by EU Member States—Research Results;314
27.6;22.6 Conclusions;317
27.7;References;318
28;23 Measuring the Provision of Access to Sustainable Energy in the EU as a New Task of Modern Economics in Line with Agenda 2030;319
28.1;23.1 Introduction;320
28.2;23.2 Outline of the Issues;321
28.3;23.3 Research Methods;322
28.4;23.4 Results;324
28.5;23.5 Conclusions;327
28.6;References;329
29;24 Pilot Study as a Case of Applying an Experimental Approach to the Implementation of Tasks in the Public Sector;331
29.1;24.1 Introduction;331
29.2;24.2 Development of the Concept of Implementation of Public Tasks in Public Sector Units;333
29.3;24.3 Piloting as an Expression of Practical Application of the Expected Utility Theory in PSU Decisions;334
29.4;24.4 Example of Practical Application;338
29.4.1;24.4.1 Scientific Approach;338
29.4.2;24.4.2 Findings and Discussion;339
29.5;24.5 Conclusions;344
29.6;References;345
30;25 What Really Helps Us Make a Choice? An Experimental Evaluation of AHP;348
30.1;25.1 Introduction;349
30.2;25.2 Literature Review;350
30.3;25.3 Experimental Procedure;351
30.4;25.4 Results;353
30.5;25.5 Discussion and Conclusions;356
30.6;References;357
31;26 Declared Preference Method—Research Experiment Concerning Air Quality;359
31.1;26.1 Introduction;359
31.2;26.2 Public Goods and Issues of Demand and Supply: Literature Review;361
31.3;26.3 Methodology and Data;362
31.4;26.4 Results of the Survey;365
31.4.1;26.4.1 Declared Preference Ranking (Including Social Circumstances);365
31.4.2;26.4.2 Analysis of the Willingness to Pay for a Public Good and Socio-economic Aspects;368
31.4.3;26.4.3 Assessment of Decisions Efficiency Understood as an Ability to Achieve the Goal;369
31.5;26.5 Discussion;371
31.6;26.6 Conclusions;372
31.7;References;372

Über Autor(innen)

Kesra Nermend
is Professor at University of Szczecin (Poland), President of Center of Knowledge and Technology Transfer at University of Szczecin, and Head of the Department of Computational Methods in Experimental Economics in Institute of IT in Management in The Faculty of Economics and Management at University of Szczecin. He has authored and co-authored about 100 publications mainly in the area of using quantitative methods and tools for the analysis of economic phenomena.
Malgorzata Latuszynska
is Professor and Head of the Department of Economic Processes Modelling and Simulation Methods and Vice-Dean for Student Affairs at Institute of IT in Management in The Faculty of Economics and Management, University of Szczecin. She is also Vice-president of Center of Knowledge and Technology Transfer at University of Szczecin.  She is author and co-author of about 170 publications mainly from the scope of simulation methods and tools of computer science in economics, management and transport.