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Individual and Social Decisions

Paper Session

Friday, Jan. 4, 2019 8:00 AM - 10:00 AM

Atlanta Marriott Marquis, L507
Hosted By: Econometric Society
  • Chair: Bart Lipman, Boston University

Coarse Revealed Preference

Gaoji Hu
,
National University of Singapore
Jiangtao Li
,
University of New South Wales
John Quah
,
Johns Hopkins University
Rui Tang
,
Princeton University

Abstract

We identify necessary and sufficient conditions under which a coarse data set can be coarsely rationalized by a linear order (or weak order). The conditions are easy to check, and efficient algorithms are provided. We apply our theory to investigate the observable restrictions of several economic models including (1) rational choice with imperfect observation; (2) multiple preferences; (3) monotone multiple preferences; and (4) minimax regret.

Dynamic Quantile Models of Rational Behavior

Luciano de Castro
,
University of Iowa
Antonio Galvao
,
University of Arizona

Abstract

This paper develops a dynamic model of rational behavior under uncertainty, in which the agent maximizes the stream of the future τ-quantile utilities, for τ ∈ (0, 1). That is, the agent has a quantile utility preference instead of the standard expected utility. Quantile preferences have useful advantages, such as robustness and ability to capture heterogeneity. We provide an axiomatization of the recursive quantile preferences to motivate its use. Although quantiles do not have some of the helpful properties of expectations, such as linearity and the law of iterated expectations, we are able to establish all the standard results in dynamic models. Namely, we show that the quantile preferences are dynamically consistent, the corresponding dynamic problem yields a value function, via a fixed point argument, establish its concavity and differentiability and show that the principle of optimality holds. Additionally, we derive the corresponding Euler equation, which is well suited for using well-known quantile regression methods for estimating and testing the economic model. In this way, the parameters of the model can be interpreted as structural objects. Therefore, the proposed methods provide microeconomic foundations for quantile regression models. To illustrate the developments, we construct an asset-pricing model and estimate the discount factor and elasticity of intertemporal substitution parameters across the quantiles. The results provide evidence of heterogeneity in these parameters.

Freedom and Voting Power

Itai Sher
,
University of Massachusetts-Amherst

Abstract

This paper develops the symmetric power order, a measure of voting power for multicandidate elections. The measure generalizes standard pivotality-based voting power measures for binary elections, such as Banzhaf power. At the same time, the measure is not based on pivotality, but rather on a measure of freedom of choice in individual decisions. Indeed, I use the symmetric power order to show that pivotality only measures voting power in monotonic elections, and is not a good measure in multicandidate elections. Pivotality only provides an upper bound on voting power. This result establishes a relation between voting power and strategyproofness.

Aggregate Risk and the Pareto Principle

Luciano Pomatto
,
California Institute of Technology
Nabil Al-Najjar
,
Northwestern University

Abstract

Aggregate Risk and the Pareto Principle
Discussant(s)
Victor Aguiar
,
University of Western Ontario
Luca Rigotti
,
University of Pittsburgh
Christopher Chambers
,
Georgetown University
Urmee Khan
,
University of California-Riverside
JEL Classifications
  • D8 - Information, Knowledge, and Uncertainty
  • D7 - Analysis of Collective Decision-Making