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Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Page 1: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Experimental Economics Methodological Paradigm

“Microeconomic Systems as an Experimental Sceince,”

Smith ’82 AER

Page 2: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Elements of a Microeconomic System (The Enviroment)

• List of N economic agents {1,2,…,N}• List of K + 1 commodities {0,1,2,…, K}• Defining characteristics of an agent i– ei=(ui, Ti, wi)– ui is utility function that maps from the

commodity space to the real line– Ti is a technology (knowledge) function– wi is a commodity endowment

Page 3: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Elements of a Microeconomic System (The Enviroment)

• An economic environment is an array ei=(e1, e2,…, eN)

• Decentralized Private information assumption: All primal elements are indexed by i. This implies knowledge of these values is private information.

Page 4: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Elements of a Microeconomic System (The Institution)

“It is the Institution that defines the rules of property rights under which agents may communicate for the purpose of modifying initial endowments in accordance with private tastes and knowledge.”

“…property rights in messages are as important as property rights in commodities or ideas.”

gi(t0,.,.)

Page 5: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Elements of the Institution

• Language: A set M=(M1,…, MN) with element m=(m1,…, mN). mi Mi is the set of messages that can be sent by agent i

• Allocation rules: H=(h1(m),…, hN(m)). The rule hi(m) states the final allocation to i as a function of the set of submitted messages. In a dynamic institution m refers to the final allocation determining message.

Page 6: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Elements of the Institution• Cost imputation rules: C=(c1(m),…, cN(m)). The

rule ci(m) states the final adjustment in money or numeraire commodity.

• Adjustment process rules: G=(g1(t0, t, T),…, gN(t0, t, T)).– gi(t0,.,.) is the starting rule which indicates when I can

initiate sending messages– gi(.,t,.) the transition rule governing the sequence and

exchange of messages– gi(.,.,T) stopping rule that specifies the termination of

messages

Page 7: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Elements of the Institution

• Agent i’s property rights in communication and exchange

Ii=(Mi, hi(m), ci(m), gi(t0, t, T)).

• A Microeconomic Institution is the collection of individual property rights.

Ii=(I1, I2,…., IN)

Page 8: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Microeconomic System: Behavior and Outcomes

• A Microeconomic System is the union of an economic environment and institution.

S=(e, I)• S is closed by the agents’ selection of messages.• An final allocation behavioral rule is

mi=i(ei|I)• Response behavior in a dynamic setting

mi=fi(m(t-1) |ei,I)• Behavioral rules are variables, theory can make

predictions (positive) or suggestions (normative)

Page 9: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Microeconomic System Schematic• We can see how behavior

interacts with environment to generate reallocation of resources

• P denotes performance. We can now evaluate comparative statics of behavior and institutions against traditional benchmarks such at Competitive equilibrium and Pareto Optimality

XP

exi=(1(ei|I),…,I(ei|I))

M

mi=i(ei|I) xi=hi(m)

Page 10: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Microeconomic System Schematic

Let’s discuss what types ofinvestigations one canconduct within thisframework.• Theoretic• Econometric• Experimental• Simulation

XP

exi=(1(ei|I),…,I(ei|I))

M

mi=i(ei|I) xi=hi(m)

Page 11: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

The Controlled Economic Experiment

Objectives1. Control the elements of S2. Observe and measure selected messages, m, so we

can infer behavioral rules and conduct hypothesis tests on derived behavior from theories

3. Observe and measure the resulting outcomes, x, to evaluate system performance

Laboratory experiments must satisfy a set of conditions or precepts, to achieve these objectives

Page 12: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Smith’s Precepts

• Control over preferences and beliefs is most significant tasks and what separates Experiments from other forms of emperical enquiry.

• We call this induced valuationPrecept 1: Nonsatiation: Given a costless choice

between two alternatives, indentical except the first yields more reward medium than the second, the first will always be chosen over the second by an autonomous individual.

Page 13: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Smith’s Precepts

Precept 2: Saliency: Individuals have the right to claim a reward which is increasing in the good outcomes, xi, of an experiment; and how messages are translated into outcomes are defined by the institution of the experiment

Let’s discuss reward mediums and what is salient and what is not.

Page 14: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Smith’s PreceptsThe first two precepts give rise to the existance of a

microeconomic system. The next two ensure the control over preferences.

Precept 3: Dominance: The reward structure dominates over any subjective costs (or values) associated with participation in the activities of an experiment.

Precept 4: Privacy: Each subject in an experiment is only given information on his/her own payoff alternatives

Let’s discuss the implications.

Page 15: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Smith’s PreceptsThe first two precepts give rise to the existence of a

microeconomic system. The third and fourth precepts give control or make observable the microeconomic system.

Precept 5: Parallelism: Propositions about the behavior of individuals and performance of institutions that have been tested in laboratory microeconomies apply also to nonlaboratory microeconomies where similar ceteris paribus conditions hold.

This precept is often where experimental work is criticized and issue of sampling are raised. It has led to the recent popularity of “Field Experiments”

Page 16: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Induced Value theory

• Study of decision behavior or suitably motivated individuals in the laboratory has important and significant application to the development and verification of theories

• Results of laboratory tests can serve as rigorous empirical pretest of economic theory prior to the use of field data tests

• Results of experiments can be directly relevant to the study and interpretation of field data

Page 17: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Induced Value theory• In many experiments the experimenter wants to control subjects

preferences. How can this be achieved?

• Subjects’ homegrown preferences must be “neutralized” and the• experimenter “induces” new preferences. Subjects’ actions should be

driven by the induced preferences.

Use of money as a reward medium: ∆m denotes the subject’s money earnings resulting from her actions in the experiment. m0 represents a subject’s “outside” money. Total money holdings are m = (m0 + ∆m).

• Subject has unobservable preferenceV(m0 + ∆m, z)

• z represents all other motives.

Page 18: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Induced Value theory1. Monotonicity: V(m) exists and is strictly positive for any (m, z)

combination.

2. Dominance: Changes in a subject’s utility from the experiment comepredominantly from ∆m. The influence of z is negligible.

• If monotonicity and dominance are met the experimenter has controlover the subjects’ preferences, i.e., subjects face economic incentives for those actions that are paid and other motivators are negligible.

• A flat payment for participation in the experiment does not establish control over preferences. This also holds for questionnaires.

Page 19: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Induced Value theory• Boredom – experiments with hundreds of periods are

problematic.

• Public information about individual payoffs may render relative comparison motives important (envy, fairness).

• Experimenter demand effects – Subjects want to help or hinder the experimenter; they receive subtle hints what they should or are expected to do.

• Solutions– Make ∆m sufficiently large.– Avoid public information about payoffs.– Avoid any hints regarding the purpose of the experiments.– Use neutral language in the instructions.

Page 20: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Induced Value theory• Experimenter wants to induce the utility function U(x,y) .• x: number of slips of red paper• y: number of slips of blue paper

• The experimenter pays subjects according to the final holdings of red and blue paper slips. The monetary payoff function R(x,y) is identical to the utility function U(x,y).

• Subjects have the following preference:V(m0+U(x,y), z)

Page 21: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Induced Value Theory• Since the MRS between x and y under the utility

function V is identical to the MRS under the function U or R, respectively, V and U represent the same preferences with regard to x and y. – MRSV = (V1 * UX) / (V1 * UY) = UX /UY = MRSU =

RX/RY = MRSR

• Remark: Dominance ensures that z does not depend on x and y, i.e., homegrown preferences do not disturb induced preferences.

Page 22: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

Classification of Experiments• Functional– Variation of environment– Variation of institution

• Three Types of Research Questions1.What is the system performance? (Our Double Auction

experiment is a classic example)2.What are the behavioral rules?3.Can we identify elements of the environment?

(Subject preferences and how the process information)

Page 23: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Purposes of Experiments

1. Testing theories2. Elicitation of preferences

Goods, risk, fairness, time3. Exploring boundedly rational behavior4. Establish empirical regularities as a basis for

new theories5. Theory free comparison of institutions6. Wind tunnel experiments7. Teaching experiments

Page 24: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Testing Theory

• Economic theory provides the basis for experimental abstraction and experimental design .

• Implement those conditions of the theory (e.g. preference assumptions, technology assumptions, institutional assumptions) that you do not want to check. Comparison of the predictions with the experimental outcome provides a test of those components of the theory that are established through the subjects’ behavior.

Page 25: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Testing Theory

• Attention: often this comparison is a joint test of several assumptions.

• When does the theory fail, when does it succeed?

• Design proper control treatments that allow causal inferences about why the theory fails (example: bargaining experiments)

Page 26: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Elicitation of Preferences

• How much money should be spent to avoid traffic accidents? (Involves risk preferences)

• How much money should be spent on protecting the natural environment? (involves preferences for public goods)

• Should the government subsidize savings? (involves time preferences)

Page 27: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Elicitation of Preferences

• A nonarbitrary and nonpaternalistic answer to these questions depends crucially on one’s view about how much people value the above goods.

• Measuring people’s values requires a theory of individual preferences and knowledge about the strength of particular “motives” (preferences).

• This requires the testing of individual choice theories and instruments for the elicitation of preferences.

Page 28: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Exploring Bounded Rationality• Do people make systematic mistakes in risky

decisions or inter-temporal choice?• To what extent do people apply backwards

inductions?• How do people form beliefs about the behavior of

others‘?• Are people prone to money illusion?• Above all: How does bounded rationality play out in

strategic games, i. e. to what extent does it affect aggregate outcomes?

• How and what do people learn?

Page 29: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Establish Empirical Regularities as aBasis for New Theories

• Well established empirical regularities direct the theorists’ effort and can help develop empirically relevant theories.

• Experimenter can implement important games for which no game theoretic predictions exist because the analysis is too complicated (example: double auction)

Page 30: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Theory Free Comparison of Institutions

• To learn something about the efficiency properties of institutions it is not necessary to have a full theory that explains and predicts behavior – Welfare measure: total money earnings of all subjects in

the experiment divided by the total earnings.

• Example: double auction versus one-sided continuous auction

• Check the robustness of institutions in different environments.

Page 31: Experimental Economics Methodological Paradigm “Microeconomic Systems as an Experimental Sceince,” Smith ’82 AER

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Wind Tunnel Experiments

• The great thing about economic theory is that one can examine

• What would happen if one changed policies or implemented new institutions.

– Does the reduction of entry barriers increase aggregate welfare?– Which auctions generate the higher revenue for government securities?– Do tradable emission permits allow efficient pollution control?– How should airport slots be allocated?– How can the market for hospital doctors be organized efficiently?– Which institutions ensure an efficient provision of public goods?

• The great thing about economic experiments is that they allow us to examine these questions empirically.