BEHAVIORAL ECONOMICS AND COMPLEXITY

Academic Year 2019/2020 - 1° Year
Teaching Staff: Alessio Emanuele Biondo
Credit Value: 9
Scientific field: SECS-P/02 - Politica Economica
Taught classes: 60 hours
Term / Semester:

Learning Objectives

1. Knowledge and understanding

The course aims to build consciousness on the roots of complexity in human behaviors, with reference to their consequences on dynamic perspectives of economic relations. Main contributions of related literature will provide the methodological approach to understand socio-economic relations, by comparing theoretical models and empirical data.

2. Applying knowledge and understanding

The course will analyze both the micro- and the macro-economic perspective, by underlining, respectively, the behavioral approach in the individual choice paradigm and the emergent dynamics in collective phenomena. An essential introduction to agent-based modelling will be given, as one of the most adequate tools of analysis in the field.

3. Making judgements

The course will provide students with adequate abilities to distinguish complex phenomena and to reconcile correct modeling structures with socio-economic problems at hands.

4. Communication skills

The course has an experimental nature. It deals with borderline topics and non-standard approaches for economic analysis. Therefore, a specific effort will be done to help students learning the appropriate terminology and the ability to discuss actual aspects of studied concepts.

5. Learning skills

The course will be a starting point more than a consolidated set of results. All teaching materials, references and presented topics will create a toolbox for many possible future developments, for both further studies and professional applications.


Course Structure

Lectures.


Required Prerequisites

Mathematics, Microeconomics, Macroeconomics.


Attendance of Lessons

Mandatory.


Detailed Course Content

The course aims to present the developments in the context of Micro- and Macroeconomic Theory deriving from the analysis of, respectively, the behavioral approach in the choice paradigm and the emergent dynamics in collective phenomena. Thus, the first part of the course will provide a broad introduction to the concept of rationality in economics and to the advances of modern literature related to the implementation of bounded rationality and behavioral approaches. The second part, instead, will be focused on the concepts of complexity, heterogeneity and interaction in economic models, and special attention will be devoted to the study of macroeconomic agent-based models. For both blocks, a step-by-step introduction of essential ABM building elements will be provided. Finally, a user-friendly open access platform will be presented in order to enable students to build their own models and perform simulations to be confronted with empirical data for policies assessment.

A - Economic Behavior and Microeconomics:

Rational choice in Economics and Bounded Rationality; Introduction to Computational Economics.

B - Complexity and Macroeconomics:

Complexity and Emergent Macroeconomics; Network Economics, Agent-based Modeling.


Textbook Information

Becker G.S., The Economic Approach to Human Behavior, The University of Chicago Press, 1976, chapters: 1, 7, 8, 12, 13.

Gilboa I., Rational Choice, 2010, The MIT Press, Cambridge.

Simon H.A., (1955) A Behavioral Model of Rational Choice, The Quarterly Journal of Economics, vol.69, No.1., pp.99-118.

Kahneman D., Tversky A., (1979) An Analysis of Decision under Risk​, Econometrica, Vol. 47, No. 2 (Mar., 1979), pp. 263-291

Kahneman D., Tversky A., (1984) Choice, Values, Frames, American Psychologist, vol. 39, No. 4, 341-350.

Cioffi-Revilla C., Introduction to Computational Social Science, Springer 2014, chapters: 5, 6, 7.

Delli Gatti D., Gaffeo E., Gallegati M., Giulioni G., Palestrini A., Emergent Macroeconomics, 2008, Springer-Verlag, Milan.

Jackson M.O., Social and Economic Networks, 2010, Princeton University Press, chapters: 2, 3, 6, 7, 8, 9, 12.



Course Planning

 SubjectsText References
1The Economic Approach to Human Behavior for a New Theory of Consumer BehaviorBecker G.S., The Economic Approach to Human Behavior, The University of Chicago Press, 1976, ch. 1, 7, 8 
2Altruism, Egoism, and Genetic Fitness: Social InteractionsBecker G.S., The Economic Approach to Human Behavior, The University of Chicago Press, 1976, ch. 12, 13 
3OptimizationGilboa I., Rational Choice, 2010, The MIT Press, Cambridge, ch. 1, 2, 3 
4Risk and UncertaintyGilboa I., Rational Choice, 2010, The MIT Press, Cambridge, ch. 4, 5 
5Group ChoicesGilboa I., Rational Choice, 2010, The MIT Press, Cambridge, ch. 6, 7, 8 
6Rationality and EmotionsGilboa I., Rational Choice, 2010, The MIT Press, Cambridge, ch. 9, 10 
7Behavioral Decision-MakingSimon H.A., (1955) A Behavioral Model of Rational Choice, The Quarterly Journal of Economics, vol.69, No.1., pp.99-118. 
8Prospect TheoryKahneman D., Tversky A., (1979) An Analysis of Decision under Risk​, Econometrica, Vol. 47, No. 2 (Mar., 1979), pp. 263-291 
9Framing in Decision-makingKahneman D., Tversky A., (1984) Choice, Values, Frames, American Psychologist, vol. 39, No. 4, 341-350. 
10Social and Economic Networks: Representation, Measures, and EmpiricsJackson M.O., Social and Economic Networks, 2010, Princeton University Press, ch. 2,3 
11Strategic Network formation and LearningJackson M.O., Social and Economic Networks, 2010, Princeton University Press, ch. 6, 8 
12Decisions, Behavior, and Games on NetworksJackson M.O., Social and Economic Networks, 2010, Princeton University Press, ch. 9 
13Allocation Rules, Networks, and Cooperative GamesJackson M.O., Social and Economic Networks, 2010, Princeton University Press, ch. 12 
14Social ComplexityCioffi-Revilla C., Introduction to Computational Social Science, Springer 2014, ch. 5, 6, 7 
15Crucial Issues and Stylized facts of Industrial DynamicsDelli Gatti D., Gaffeo E., Gallegati M., Giulioni G., Palestrini A., Emergent Macroeconomics, 2008, Springer-Verlag, Milan, ch. 1, 2, 3 
16Agent-based Macroeconomics and Future ParadigmsDelli Gatti D., Gaffeo E., Gallegati M., Giulioni G., Palestrini A., Emergent Macroeconomics, 2008, Springer-Verlag, Milan, ch. 4, 5 

Learning Assessment

Learning Assessment Procedures

Written Exam


Examples of frequently asked questions and / or exercises

Discuss implications of a behavioral approach on the concept of rationality in economics

Present the distance-based utility model

Discuss the problem of statistical aggregation in macroeconomics