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Dive into the research topics where SangMok Lee is active.

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Featured researches published by SangMok Lee.


Journal of Political Economy | 2011

The Money Pump as a Measure of Revealed Preference Violations

Federico Echenique; SangMok Lee; Matthew Shum

We introduce a measure of the severity of violations of the revealed preference axioms, the money pump index (MPI). The MPI is the amount of money one can extract from a consumer who violates the axioms. It is also a statistical test for the hypothesis that a consumer is rational when behavior is observed with error. We present an application using a panel data set of food expenditures. The data exhibit many violations of the axioms. Mostly, the MPI for these violations is small. The MPI indicates that the hypothesis of consumer rationality cannot be rejected.


behavioral and quantitative game theory on conference on future directions | 2010

Aggregate matchings

Federique Echenique; SangMok Lee; Matthew Shum

This paper characterizes the testable implications of stability for aggregate matchings. We consider data on matchings where individuals are aggregated, based on their observable characteristics, into types, and we know how many agents of each type match. We derive stability conditions for an aggregate matching, and, based on these, provide a simple necessary and sufficient condition for an observed aggregate matching to be rationalizable (i.e. such that preferences can be found so that the observed aggregate matching is stable). Subsequently, we derive moment inequalities based on the stability conditions, and provide an empirical illustration using the cross-sectional marriage distributions across the US states.


Archive | 2014

On the Efficiency of Stable Matchings in Large Markets

SangMok Lee; Leeat Yariv

Stability is often the goal for clearinghouses in matching markets, such as those matching residents to hospitals, students to schools, etc. Stable outcomes absent transfers need not be utilitarian efficient, suggesting the potential value of transfers. We study the wedge between stability and efficiency in large one-to-one matching markets. We show stable matchings are efficient asymptotically for a large class of preferences. In these environments, stability remains an appealing objective even on efficiency grounds, and monetary transfers are not necessary for efficiency purposes. Nonetheless, for severely imbalanced markets, when preferences entail sufficient idiosyncrasies, stable outcomes may be inefficient even asymptotically.


Social Science Research Network | 2016

PARTIAL IDENTIFICATION IN TWO-SIDED MATCHING MODELS

Federico Echenique; SangMok Lee; Matthew Shum

We propose a methodology for estimating preference parameters in matching models. Our estimator applies to repeated observations of matchings among a fixed group of individuals. Our estimator is based on the stability conditions in matching models; we consider both transferable (TU) and nontransferable utility (NTU) models. In both cases, the stability conditions yield moment inequalities which can be taken to the data. The preference parameters are partially identified. We consider simple illustrative examples, and also an empirical application to aggregate marriage markets.


Econometrica | 2010

The Revealed Preference Theory of Stable and Extremal Stable Matchings

Federico Echenique; SangMok Lee; Matthew Shum; M. Bumin Yenmez


The Review of Economic Studies | 2017

Incentive Compatibility of Large Centralized Matching Markets

SangMok Lee


Journal of Mathematical Economics | 2012

The Testable Implications of Zero-sum Games

SangMok Lee


Archive | 2015

Optimal Dynamic Matching

Mariagiovanna Baccara; SangMok Lee; Leeat Yariv


Archive | 2010

Revealed Preference Tests using Supermarket Data: the Money Pump

Federico Echenique; SangMok Lee; Matthew Shum


Economic Theory | 2014

Plea bargaining: on the selection of jury trials

SangMok Lee

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Federico Echenique

California Institute of Technology

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Matthew Shum

California Institute of Technology

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Leeat Yariv

California Institute of Technology

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M. Bumin Yenmez

Carnegie Mellon University

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Federique Echenique

California Institute of Technology

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Mariagiovanna Baccara

Washington University in St. Louis

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