An intensive 5-day summer school devoted to instructing macroeconomists in experimental methods will be offered on the main campus of the Universitat Pompeu Fabra from June 11-15, 2012. The aim of the summer school will be both to promote experimental methods among macroeconomists and to assist with and critique participants' proposals for macroeconomic experiments.

Additionally students of the summer school are invited to the 2-day LeeX International Conference on Theoretical and Experimental Macroeconomics in Universitat Pompeu Fabra from June 18-19, 2012

There are many insights to be gained from controlled laboratory experimentation that cannot be obtained using standard macroeconometric approaches, i.e., econometric analyses of the macroeconomic data reported by government agencies. Often the data most relevant to testing a macroeconomic model are simply unavailable. There may also be identification, endogeneity and equilibrium selection issues that cannot be satisfactorily addressed using econometric methods. Indeed, Nobel Laureate Robert Lucas (1986) was among the first macroeconomist to make such observations and he invited laboratory tests of rational expectations macroeconomic models. The summer school will review the experimental literature in macroeconomics that has arisen in the 20 years since Lucas's invitation. A tentative schedule of topics to be covered is given below.

 

Files

• Guessing Introduction Rosemarie Nagel
• Introduction to Experiments Rosemarie Nagel
• Global Games Experiment Frank Heinemann
• Understanding Financial Crises Frank Heinemann
• Macroeconomics: A survey of Laboratory Research John Duffy
• Macroeconomic Experiments Charles Noussair
• Structure and Behavior Shyam Sunder
• Laboratory Experiments in Economics Shyam Sunder

 

Schedule

Day 1: Introduction

09:00-09:30	Welcome
09:30-11:00	Basic Experimental Methodology (Rosemarie Nagel) Key Readings: Samuelson (2005), Smith (2002)
11:30-13:00	Participation in Experiment; introduction of participants
	Lunch
14:30-16:00	Overview of Macroeconomic Experiments (John Duffy) Key Readings: Ochs (1995), Duffy (2008),      Ricciuti (2005).
16:30-18:00	Participate in Experiment, Form Groups to work on Projects

 

Day 2: Designing Macro experiments

09:00-10:30	Complexity and Abstraction: Designing Macro Experiments (Shyam Sunder) Key readings: Sunder (2006), Lim et al. (1994),  Marimon, Sunder, (1993), (1994), Huber, Shubik, Sunder. (2011a), (2011b).
11:00-13:00	Group session: work on project
	Lunch
14:30-16:00	Experiments with Minimally Institutions and Minimally Intelligent Agents (Shyam Sunder) Key readings: Gode, Sunder (1993), (1997), (2004), Huber, Shubik, Sunder (2010). Angerer, Huber, Shubik, Sunder (2010), Huber, Shubik, Sunder (2011).
16:30-17:45	Participation in Experiment

 

Day 3: Financial Crises and Speculative Attacks

09:00-10:30	Understanding Financial Crises: The Contribution of Experimental Economics  (Frank Heinemann) Key readings: Brunnermeier, M, and J. Morgan (2008), Kübler, D. and G. Weizsäcker (2004), Heinemann, F., R.Nagel, and P. Ockenfels (2009)
11:00-13:00	Group session: work on project
	Lunch
14:30-16:00	Speculative Attacks and the Theory of Global Games (Frank Heinemann) Key Readings: Morris, S., and H.S. Shin (1998), Heinemann, Frank (2000), Heinemann, F., R. Nagel, and P. Ockenfels (2004)
16:30-17:45	Participation in Experiment.
20.30	Dinner with all participants and lecturers

 

Day 4: Financial Markets and Stabilization Policies

09:00-10:30	Asset Pricing, Bubbles and Crashes (John Duffy) Key reading: Smith Suchaneck and Williams (1998), Lei Noussair and Plott (2001),Hommes et al. (2005), Hussam et al (2008), Crockett and Duffy (2010).
11:00-13:00	Group session: work on project
	Lunch
14:30-16:00	Search Models of Money (John Duffy) Key Readings: Kiyotaki and Wright (1989); Duffy and Ochs (1999, 2002); Lagos and Wright (2005); Duffy and Puzzello (2011)
16:30-17:45	Participation in Experiments

 

Day 5: Growth and Coordination

09:00-10:30	Experimental Studies on Economic Growth and   DSGE models (Charles Noussair) Key Readings: Vivian Lei and Charles Noussair (2002), C. Monica Capra, Colin Camerer, Tomomi Tanaka, Lauren Feiler, Veronica Sovero, and Charles Noussair (2009), Charles Noussair, Damjan Pfajfar, and Janos Zsiros (2011).
11:00-13:00	Group Session
	Lunch
14:30-16.30	Student Presentations of Projects

 

Day 6 and 7: Attendance of conference LICTEM, June 18 and 19, 2012.

Charles Noussair

Charles Noussair is Arie Kapteyn Professor of Economics at the University of Tillburg.  He earned his PhD at Caltech in 1993.  

He serves currently on the editorial board of Journal of Economic Behavior and Organization, Judgement and Decision Making, Experimental Economics, Pacific Economic Review, Journal of Economic Studies, Journal of Prediction Markets. 
His research interest are Experimental Economics, Game Theory, Applied Microeconomics, Financial Markets, Neuroeconomics.

Selected publications:

"Money Illusion and Nominal Inertia in Experimental Asset Markets", (with Gregers Richter and Jean-Robert Tyran), *Journal of Behavioral Finance*, forthcoming

"The Impact of Simple Institutions in Experimental Economies with Poverty Traps", (with C. Monica Capra, Colin Camerer, Tomomi Tanaka, Lauren Feiler, and Veronica Sovero), Economic Journal 119, 539, July 2009, pages 977 - 1009

"An Experimental Test of an Optimal Growth Model", (with Vivian Lei), American Economic Review, Vol. 92, no 3, June 2002, pages 549-570.

 

Shyam Sunder

Shyam Sunder is the James L. Frank Professor of Accounting, Economics, and Finance at the Yale School of Management; Professor in the Department of Economics; and Fellow of the Whitney Humanities Center. His research contributions include financial reporting, dissemination of information in security markets, statistical theory of valuation, and design of electronic markets. He is a pioneer in the fields of experimental finance and experimental macroeconomics.  Sunder's current research includes the problem of structuring U.S. and international accounting and auditing institutions to obtain a judicious and efficient balance between regulatory oversight and market competition. He is in the editorial board of Journal of Accounting and Public Policy, Experimental Economics, Indian Accounting Review, Computational & Mathematical Organization Theory

Selected publications:

"Price Bubbles Sans Dividend Anchors: Evidence from Laboratory Stock Markets" (with S. Hirota), Journal of Economic Dynamics and Control, Vol. 31, No. 6, 1875-1909, June, 2007

"Regulation and the Marketplace" (with K. Jamal and M. Maier), Regulation, Vol. 6 No. 4, Winter 2003-2004

"Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders" (with M.E. Augier and J.G. March), Models of a Man: Essays in Memory of Herbert A. Simon, Cambridge, MA: MIT Press, 2004

 

John Duffy

John Duffy is Professor of Economics at the University of Pittsburgh.  He earned his PhD at UCLA in 1992.  He is currently director of the Pittsburgh Experimental Economics Laboratory and serves on the editorial boards of European Economic Review, Experimental Economics, Games and Economic Behavior, and the Journal of Economic Dynamics and Control.  Duffy's research interests include asset pricing, monetary economics, learning and expectations in macroeconomic models and coordination problems.

Selected publications:

"Macroeconomics: A Survey of Laboratory Research" to appear in Handbook of Experimental Economics, Volume 2, A. Roth and J. Kagel, editors.

"Cooperative Behavior and the Frequency of Social Interaction," (with J. Ochs), forthcoming in Games and Economic Behavior.

"Sunspots in the Laboratory," (with E. O'N. Fisher), American Economic Review 95 (2005), 510-529.

Intrinsically Worthless Objects as Media of Exchange: Experimental Evidence," (with J. Ochs), International Economic Review 43 (2002), 637-673.

 

Frank Heinemann

Frank Heinemann is Professor of Macroeconomics at Berlin Institute of Technology, Germany. He earned his PhD in Mannheim in 1996. He has taught macroeconomics and game theory at the universities of Frankfurt am Main, Munich (LMU) and Mannheim and at the German central bank (Bundesbank) before he changed to Berlin in 2006. His main areas of research are monetary macroeconomics and coordination games.

"Speculative Attacks with Multiple Sources of Public Information" (with Camille Cornand), Scandinavian Journal of Economics 111 (1), 2009, pp. 73-102.

"Optimal Degree of Public Information Dissemination" (with Camille Cornand), The Economic Journal 118 (April), 2008, pp. 718-742.

"The Theory of Global Games on Test: Experimental Analysis of Coordination Games with Public and Private Information" (with Rosemarie Nagel and Peter Ockenfels), Econometrica 72 (5), 2004, pp. 1583-1599.

"Speculative Attacks: Unique Equilibrium and Transparency" (with Gerhard Illing), Journal of International Economics 58 (2), 2002, pp. 429-450.

 

Rosemarie Nagel

Rosemarie Nagel is ICREA research professor at the Universitat Pompeu Fabra (UPF), research director of the experimental laboratory (LEEX-UPF), and member of CESifo. She earned her PhD in the European Doctoral Program at the University of Bonn (1994). She was Postdoctoral fellow at the University of Pittsburgh and visiting associate professor at CES Munich and Caltech. She taught experimental economics in undergraduate and graduate courses in the University of Pittsburgh, University of Bonn, Universitat Pompeu Fabra, and summer schools of University of Trento, Lyon, UPF, and in workshops by the Muenchner Rueck and Bayerische Hypobank. Her research interest is in experimental and behavioural economics and neuro economics.

Selected publications:

"Measuring Strategic Uncertainty in Coordination Games" (with Frank Heinemann and Peter Ockenfels), Review of Economic Studies, 76, 2009, pp. 181-221.

"Equilibrium Selection Through Incomplete Information in Coordination Games: An Experimental Study." (with Antonio Cabrales, and Roc Armenter), Experimental Economics 10 (3), 2007, p 221-234.

"One, Two, (Three), Infinity...: Newspaper and Lab Beauty-Contest Experiments", (with Antoni Bosch-Domènech , Jose García-Montalvo , and Albert Satorra), American Economic Review December 92 (5), 2002, pp 1687-1701.

"Unraveling in Guessing Games: An Experimental Study." American Economic Review 85 (5), 1995, pp1313-1326.

Charles Noussair

• Experimental Studies on Economic Growth and   DSGE models

Understanding the mechanisms behind economic growth is a fundamental task of macroeconomics. A class of models, called growth models, has been proposed to address this challenge. This lecture will describe how experimental methods have been used to evaluate the predictions of these models. Empirical evidence from field studies supports the view that institutions can influence the rate of economic growth. This lecture will cover how the role of institutions in economic growth can be studied using experimental methods. A particular type of model, the dynamic stochastic general equilibrium (DSGE) model, has become a standard tool of policy analysis. This lecture will describe how experiments with the same structure can be constructed and used to address policy questions.

• Literature:

Vivian Lei and Charles Noussair "An Experimental Test of an Optimal Growth Model", American Economic Review, Vol. 92, no 3, June 2002, pages 549-570.

C. Monica Capra, Colin Camerer, Tomomi Tanaka, Lauren Feiler, Veronica Sovero, and Charles Noussair"The Impact of Simple Institutions in Experimental Economies with Poverty Traps", Economic Journal 119, 539, July 2009, pages 977 - 1009. 

Charles Noussair, Damjan Pfajfar, and Janos Zsiros, "Frictions, Persistence, and Central Bank Policy in an Experimental Dynamic Stochastic General Equilibrium Economy", Tilburg University working paper, 2011.

 

Shyam Sunder

• Complexity and Abstraction: Designing Macro Experiments

Relevant real world phenomena and relevant models of interest serve as two important benchmarks in designing laboratory experiments. With their fractal structure, phenomena in field are endlessly complex. Accordingly, realism (i.e., fidelity to the field environment) and theory (i.e., fidelity to the model) place important, often conflicting, demands on design of laboratory experiments.  Do the details matter? Which ones do? How do we find out? Why do the details that "do not matter" exist in the field? If they are just matters of refinement, which refinements are and are not to be ignored in laboratory? How generalizable are the laboratory findings? How does an experimenter find his way through this maze that connects limitless complexity of the field to simple tidy models of economics to gain a better understanding of economic phenomena? We shall explore the practical problems of identifying interesting questions, and developing experimental designs to address them using some examples, notes, and some macro experiments.

Sunder, Shyam. "Determinants of Economic Interaction: Behavior or Structure." Journal of Economic Interaction and Coordination 1,   no. 1 (May 2006): 21-32. Text (PDF).

Sunder, Shyam. "Real Phenomena, Theory and Design of Laboratory Experiments in Economics." Notes. Text (PDF).

Lim, Suk S., Edward C. Prescott and Shyam Sunder. "Stationary Solution to the Overlapping Generations Model of Fiat Money: Experimental Evidence." Empirical Economics 19, no. 2 (1994): 255-277. Text (PDF)

Marimon, Ramon and Shyam Sunder. "Indeterminacy of Equilibria in a Hyperinflationary World: Experimental Evidence." Econometrica 61, no. 5 (1993): 1073-1108. Text (PDF).

Marimon, Ramon and Shyam Sunder. "Expectations and Learning Under Alternative Monetary Regimes: An Experimental Approach." Economic Theory 4 (1994), 131-162. Text (PDF)

Huber, Juergen, Martin Shubik, and Shyam Sunder. "Financing of Public Goods through Taxation in a General Equilibrium Economy: Theory and Experimental Evidence," Cowles Foundation Discussion Paper 1830, October 23, 2011.

Huber, Juergen, Martin Shubik and Shyam Sunder. "Sufficiency of an Outside Bank and a Default Penalty to Support the Value of Fiat Money: Experimental Evidence." Cowles Foundation Discussion Paper No. 1675, Revised June 12, 2011.

• Experiments with Minimally Intelligent Agents and Minimal Institutions

Laboratory exploration of properties of economic institutions and policies has traditionally been done using profit motivated human traders.  Outcomes of such experiments, when compared with outcomes of identical economies populated with minimally intelligent algorithmic agents yield valuable insights. We can isolate which of the properties of the economies of interest arise from their structure, and which ones are attributable to the behavior of agents. Starting with three micro applications, we shall study three macro applications of this human-algorithm hybrid approach to experimentation.

Gode, Dhananjay K. and Shyam Sunder. "Allocative Efficiency of Markets with Zero Intelligence Traders: Market as a Partial Substitute for Individual Rationality." The Journal of Political Economy 101, no. 1 (February 1993): 119-137.Text (PDF).

Gode, Dhananjay and Shyam Sunder. "What Makes Markets Allocationally Efficient?" Quarterly Journal of Economics 112, no. 2 (May 1997), 603-630. GSIA Reprint No. 1473.Abstract (PDF), Text (PDF).

Gode, Dhananjay K., and Shyam Sunder. "Double Auction Dynamics: Structural Effects of Non-Binding Price Controls."Journal of Economic Dynamics and Control 28, no. 9 (July 2004): 1707-1731. Abstract(PDF), Text (PDF).

Huber, Juergen, Martin Shubik and Shyam Sunder. "Three Minimal Market Institutions: Theory and Experimental Evidence." Games and Economic Behavior 70 (2010) 403-424.

Angerer, Martin, Juergen Huber, Martin Shubik and Shyam Sunder. "An Economy with Personal Currency: Theory and Experimental Evidence." Annals of Finance, Volume 6, Number 4, October 2010, pp.475-509.

Huber, Juergen, Martin Shubik and Shyam Sunder. "Default Penalty as a Selection Mechanism Among Multiple Equilibria."Cowles Foundation Discussion Paper 1730R, Revised February 6, 2011.

 

John Duffy

• Overview of Macroeconomic Experiments

This lecture will expose participants to the breadth of macroeconomic topics and questions that have been explored using laboratory methods. The aim of this lecture will be to stimulate thinking about ideas for new projects that build on what has already been done. In addition, participants will be encouraged to extend laboratory methods to macroeconomic models or questions that have not been previously addressed. Methodological issues that are particularly relevant to macroeconomic experiments, e.g., implementation of discounting and infinite horizons, will also be addressed.

• Readings:

Duffy, J. (fortcoming), "Macroeconomics: A Survey of Laboratory Research" to appear in Handbook of Experimental Economics, vol. 2, edited by John Kagel and Al Roth.

Ochs, J. (1995), "Coordination Problems," in J. Kagel and A.E. Roth, (Eds.), The Handbook of Experimental Economics, (Princeton: Princeton University Press).

Ricciuti, R. (2005), "Bringing Macroeconomics into the Lab," working paper, University of Siena.

Duffy, J. (1998), "Monetary Theory in the Laboratory," Federal Reserve Bank of St. Louis Review80, 9-26.

• Asset Pricing: Bubbles, Crashes and Expectations

Currently, economies around the world are experiencing an economic downturn brought about by the collapse of housing and equity prices and the deleveraging of the financial institutions that underwrote those assets.  In this lecture we examine laboratory studies addressing asset pricing and the phenomenon of asset price bubbles and crashes.  An understanding of the causes of asset price bubbles and cashes is of obvious importance to both policymakers and asset market participants. While there exists experimental designs that reliably yield asset price bubbles and crashes among inexperienced subjects, there remains much more work to be done on this topic, for instance, there is a need for an experimental design in which asset price bubbles and crashes are recurrent phenomena.

Smith, Vernon, Gerry L. Suchanek and Arlington W. Williams, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, 56, 1119-1151.

 Lei, Vivian, Charles N. Noussair and Charles R. Plott 2001. "Nonspeculative Bubbles in Experimental Asset Markets: Lack of Common Knowledge of Rationality vs. Actual Irrationality," Econometrica, 69, 831-859.

Dufwenberg, Martin, Tobias Lindqvist and Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, 95, 1731-1737.

Hommes, Cars.H., Joep Sonnemans, Jan Tuinstra and Henk van de Velden, 2005."Coordination of Expectations in Asset Pricing Experiments," Review of Financial Studies 18, 955-980.

Ernan Haruvy, Yaron Lahav and Charles N. Noussair, 2007. "Traders' Expectations in Asset Markets: Experimental Evidence," American Economic Review 97, 1901-1920.

Crockett, Sean and John Duffy, 2009. "A General Equilibrium Approach to Asset Pricing Experiments." working paper.

• Monetary Theory

Among the central questions in monetary theory are why intrinsically worthless fiat money serves as a store of value and why it is used as a medium of exchange when other assets dominate it in rate of return. Various theories have been developed to address these fundamental questions. For instance, overlapping generations models of money may explain why fiat money has value, and search-theoretic approaches can rationalize why money is used when dominated in rate of return by other competing assets. However, the frictions in these models -overlapping generations and search frictions- make them difficult to take to field data. On the other hand, a number of laboratory studies of such models have been conducted. These lectures will outline the main findings from those studies and point out promising new extensions.

• Literature:

Introduction:

Duffy, J. (1998), "Monetary Theory in the Laboratory," Federal Reserve Bank of St. LouisReview 80 (September/October), 9-26.

Theory:

Lucas, R.E. (1986), "Adaptive Behavior and Economic Theory," Journal of Business 59,
S401-S426.

Wallace, N. (1980), "The Overlapping Generations Model of Fiat Money," in J.H. Kareken and N. Wallace, Eds., Models of Monetary Economies, Federal Reserve Bank of Minneapolis

Kiyotaki, N. and R. Wright (1989), "On Money as a Medium of Exchange," Journal of Political Economy 97, 927-54

Experiments:

Bernasconi, M. and Kirchkamp, O. (2000), "Why Do Monetary Policies Matter? An Experimental Study of Saving and Inflation in an Overlapping Generations Model," Journal of Monetary Economics 46, 315-43.

Brown, P. (1996), "Experimental Evidence on Money as a Medium of Exchange," Journal of Economic Dynamics and Control 20, 583-600.

Camera, G., Noussair, C., and Tucker, S. (2003), "Rate-of-Return Dominance and Efficiency in an Experimental Economy," Economic Theory 22, 629-60.

Duffy, J. and J. Ochs (2002), "Intrinsically Worthless Objects as Media of Exchange: Experimental Evidence," International Economic Review 43, 637-73.

Duffy, J. and J. Ochs (1999), "Emergence of Money as a Medium of Exchange: An Experimental Study," American Economic Review 89, 847-77.

Lim, S. Prescott, E.C. and Sunder, S. (1994), "Stationary Solution to the Overlapping Generations Model of Fiat Money: Experimental Evidence," Empirical Economics 19, 255-77.

Marimon, R. and Sunder, S. (1994), "Expectations and Learning under Alternative Monetary Regimes: An Experimental Approach," Economic Theory 4, 131-62.

Marimon, R. and Sunder, S. (1993) "Indeterminacy of Equilibria in a Hyperinflationary World: Experimental Evidence," Econometrica 61, 1073-107.

 

Frank Heinemann

• Understanding Financial Crises: The Contribution of Experimental Economics

The patterns of financial crises are remarkably predictable. Minsky (1972) has described these patterns by phases, some of which contain behavioural hypotheses that can be tested by laboratory experiments. Under which conditions can bubbles arise? When do they burst? Why do people herd and does herding destabilize financial markets? What triggers a bank run and how do people coordinate in an environment with multiple equilibria? This lecture will lay out experimental evidence containing some answers to these questions. In particular, we will look at experiments on games with strategic complementarities. How predictable are choices if the game has multiple equilibria and which theory is well-suited to give advice for individual behavior? Managing information flow is one of the major challenges for central banks and bank supervisors. The lecture explains what we can learn from experiments for managing information flow in the presence of strategic complementarities.

• Literature:

Minsky, H.P. (1972), Financial Instability Revisited: the Economics of Disaster.

Brunnermeier, Markus, and John Morgan (2008), Clock Games: Theory and Experiments, Games and Economic Behavior, forthcoming, http://www.princeton.edu/~markus/research/papers/clock_games.pdf

Kübler, Dorothea, and Georg von Weizsäcker (2004), Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory, Review of Economic Studies 71, 425-442.

Schotter, Andrew, and Tanju Yorulmazer (2009), On the Severity of Bank Runs,  Journal of Financial Intermediation 18, 217-241.

Heinemann, Frank, Rosemarie Nagel, and Peter Ockenfels (2009), Measuring Strategic Uncertainty in Coordination Games, Review of Economic Studies 76, 181-221.

Cornand, C., and F. Heinemann (2010), Measuring Agents' Reaction to Private and Public Information in Games with Strategic Complementarities, CESifo Working Paper 2947.

• Speculative Attacks and the Theory of Global Games - Experimental Tests of Global Game Predictions

Speculative attacks can be viewed upon as coordination games: if a sufficient number of traders (and a sufficient amount of capital) is involved in an attack, the pressure on foreign exchange markets forces the central bank to devaluate its currency. Then, all attacking traders gain from the devaluation. But, if the number of attackers is too small, the central bank can defend the peg, and attacking traders lose on transaction costs. Speculative-attack games have multiple equilibria if payoff functions are common knowledge. The theory of global embeds a coordination game in an environment with private information about parameters of the payoff function. If private information is sufficiently precise, the global game has a unique equilibrium. Hence, the theory of global games can be used for a unique prediction of the outcome of a speculative-attack game. This theory provides a number of hypotheses that can be tested in laboratory experiments. This lecture first presents some of the theoretical background and derives testable hypotheses. Then, it explains experiments that have been used for these tests and shows how they have been analyzed.

• Literature:

Introduction

Heinemann, Frank (2002), "Exchange-Rate Attack as a Coordination Game: Theory and Experimental Evidence," Oxford Review of Economic Policy 18, 462-478.

Theory:

Obstfeld, Maurice (1997), "Destabilizing Effects of Exchange-Rate Escape Clauses," Journal of International Economics, 61-77.

Carlsson, Hans and Eric van Damme (1993), "Global Games and Equilibrium Selection," Econometrica 61, 989-1018.

Morris, S., and H.S. Shin (1998), "Unique Equilibrium in a Model of Self-Fulfilling Currency Attacks," American Economic Review, 88, 587-597.

Heinemann, Frank (2000), "Unique Equilibrium in a Model of Self-Fulfilling Currency Attacks: Comment," American Economic Review 90, 316-318.

Hellwig, Christian (2002), "Public Information, Private Information, and the Multiplicity of Equilibria in Coordination Games," Journal of Economic Theory 107, pp. 191-222.

Experiments:

Heinemann, F., R. Nagel, and P. Ockenfels (2004), "The Theory of Global Games on Test: Experimental Analysis of Coordination Games with Public and Private Information," Econometrica 72 (5), 2004, pp. 1583-1599.

Cornand C. (2006), "Speculative Attacks and Informational Structure: An Experimental Study," Review of International Economics 14, 797-817.

 

Rosemarie Nagel

• Methodology

This lecture introduces the methods of experimental economics. We will discuss what is an economic experiment (field vs lab experiment), the different areas in experimental economics and behavioral economics, the link between experimental economics, theory and empirical work and important design issues. This introduction is meant to give a quick introduction to those who have never followed an experimental economic course. Prior to the course we will send the partipants of the summer school some classical experiments which they can do online.

• Literature

Akerlof, G.A. (2002), "Behavioral Macroeconomics and Macroeconomic Behavior, "American Economic Review," 92. 411-433.

Camerer, C. (2003), "Behavioral Game Theory," Princeton University Press

Friedman, D. and Sunder, S. (1994), Experimental Methods. Cambridge Univ. Press: Chapters 1-2: 1-20.

Roth, A.E. (1995), Introduction to Experimental Economics. In: Kagel, J.H. and Roth, A.E. (eds.): Handbook of Experimental Economics. Princeton Univ. Press: Princeton, N.J., Chapter 1: 3-109.

Plott, C. and Smith, V. (2003), Handbook of Experimental Economics Results, North-Holland, Amsterdam.

Porter, D. and Smith, V. L.Samuelson, L. (2005), "Economic Theory and Experimental Economics," Journal of Economic Literature 43(1): 65-107.

Smith, V.L. (2002), "Method in Experiment: Rhetoric and Reality." Experimental Economics 5(2): 91-110.

Special issue (2005), Experiment, Theory, World: A Symposium on the Role of Experiments in Economics. Journal of Economic Methodology 12(2)

Williams, A.W. (1987), "The Formation of Price Forecasts in Experimental Markets," Journal of Money, Credit and Banking 19, 1-18.

Dwyer, Jr., G.P., A.W. Williams, R.C. Battalio and T.I. Mason (1993), "Tests of Rational Expectations in a Stark Setting," Economic Journal 103, 586-601.

Marimon, R. and S. Sunder (1993) "Indeterminacy of Equilibria in a Hyperinflationary World: Experimental Evidence," Econometrica 61, 1073-1107.

Hommes, C.H., J. Sonnemans, J. Tuinstra and H. van de Velden (2007), "Learning in Cobweb Experiments," Macroeconomic Dynamics 11 (Supplement 1), 8-33.

Camerer, C. F. (2003). Chapter 5, Dominance Solvable Games. Behavioral game theory: Experiments on strategic interaction. Princeton, Princeton University Press.

Nagel Rosemarie (1995), "Unraveling in Guessing Games: An Experimental Study." American Economic Review 85,5, 1313-1326.