Econometrics, Quantitative Economics, Data Science

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optimaltransport-2015S

14.386 (first half)

Optimal Transport Methods in Economics

MIT, Economics Department, Spring 2015 (14h)

 

Course information

Instructor: Alfred Galichon

Schedule and location: Tuesdays, 4pm-6pm until Spring Break. Classes will meet February 3, 10, 17, 24, and March 3, 10, 17. Location: E17-128.

Validation: Paper to be discussed with instructor.

Course material

Available before each lecture.

Description of the Course

This course is an introduction to the theory of Optimal Transportation, with a focus on applications to Economic Modeling and Econometrics. The basic results in Optimal Transportation will be covered, as well as its relations to linear programming, network flow problems, convex analysis, and computational geometry. Several applications to various fields (econometrics, family economics and labor economics) will be given: discrete choice models, identification and estimation of matching markets with Transferable Utility, and of hedonic models.

Recommended (though not required) text: C. Villani, Topics in Optimal transportation, AMS, 2003.

Organization of the Course

L1. Monge-Kantorovich theory. Application: optimal assignments
Reference: Villani, Ch. 1.1; Roth & Sotomayor, Ch 8. Complements: Shapley & Shubik (1972).

L2. Univariate case. Application: Becker’s model of matching
Reference: Villani 2.2; Lorentz (1953); Becker (1973). Complement: Chernozhukov, Galichon, & Fernandez-Val (2010).

L3. Power diagrams. Application: Characteristics-based demand
Reference: Aurenhammer (1987); Anderson, de Palma & Thisse, Ch. 4. Complements: Feenstra & Levinsohn (1995); Fryer & Holden (2011).

L4. Quadratic surplus. Application: principal-agent problems
Reference: Villani, 2.1, Carlier (2011), Ch. 3.2.

L5. Convex duality. Application: discrete choice models
Reference: Anderson, de Palma & Thisse, Ch. 3, Carlier (2010), Ch. 3.2; Galichon & Salanié (2014).

L6. Network flow problems. Application: econometrics of hedonic models
Reference: Vohra (2011), Ch. 3; Chiappori, McCann & Nesheim (2011); Dupuy, Galichon & Henry (2014). Complements: Villani, Ch. 5 and Ch. 8; Koopmans (1949); Ekeland, Heckman and Nesheim (2004); Heckman, Matzkin & Nesheim (2010).

L7. Schrodinger systems. Application: econometrics of matching
Reference: Choo & Siow (2006); Dupuy & Galichon (2014).

Bibliography

• Anderson, de Palma, and Thisse (1992). Discrete Choice Theory of Product Differentiation. MIT Press.
Aurenhammer, F. (1987). “Power diagrams: properties, algorithms and applications,” SIAM Journal on Computing.
Becker, G. (1973). “A theory of marriage, part I,” Journal of Political Economy.
Carlier, G. (2001). “A general existence result for the principal-agent problem with adverse selection,” Journal of Mathematical Economics.
Carlier, G. (2010). Lecture notes on “Optimal Transportation and Economic Applications.”.
Chernozhukov, V., Galichon, A., & Fernandez-Val, I. (2010). “Quantile and probability curves without crossing,” Econometrica.
Choo, E., and Siow, A. (2006). “Who Marries Whom and Why,” Journal of Political Economy.
Chiappori, P.-A., McCann, R., and Nesheim, L. (2010). “Hedonic price equilibria, stable matching, and optimal transport: equivalence, topology, and uniqueness,” Economic Theory.
Dupuy, A., and Galichon, A. (2014). “Personality traits and the marriage market,” Journal of Political Economy.
Dupuy, A., Galichon, A. and Henry, M. (2014). “Entropy Methods for Identifying Hedonic Models,” Mathematics and Financial Economics.
Ekeland, I., J. Heckman, and L. Nesheim (2004): “Identification and estimation of hedonic models,” Journal of Political Economy.
Feenstra, R., and Levinsohn, J. (1995). “Estimating Markups and Market Conduct with Multidimensional Product Attributes”. Review of Economic Studies.
Fryer, R. and Holden, R. (2011). “Measuring the Compactness of Political Districting Plans.” Journal of Law and Economics.
Galichon, A., and Salanié, B. (2014). “Cupid’s Invisible Hand: Social Surplus and Identification in Matching Models”. Working paper.
Heckman, J., R. Matzkin, and L. Nesheim (2010). “Nonparametric identification and estimation of nonadditive hedonic models,” Econometrica.
Koopmans, T. C. (1949), “Optimum utilization of the transportation system”. Econometrica.
Lorentz, G. (1953), “An inequality for rearrangements”. American Mathematical Monthly.
• Roth, A., and Sotomayor, M. (1990). Two-Sided Matching A study in Game-Theoretic Modeling and Analysis.
Shapley, L. and Shubik, M. (1972) “The assignment game I: the core”. International Journal of Game Theory.
• Villani, C. (2003). Topics in Optimal transportation. Lecture Notes in Mathematics, AMS.
• Vohra, R. (2011). Mechanism Design. A Linear Programming Approach. Cambridge University Press.

TSEJune2014

Mini-course

Estimation of Matching Models

Toulouse School of Economics, June, 2014 (6h)

Course material

Available here.

Description of the Course

These lecture aims at providing an empirical framework for matching models with heterogeneity in tastes and general transfer technologies. They are organized in two parts:
1. Generalized Entropy of Choice and Capacity-constrained Discrete Choice. We first revisit the literature on random utility models by emphasizing the role of a proper generalization of the notion of entropy, defined using Legendre transforms. The duality between the selection model and the assignment model follows, as well as the duality between the equilibrium characterization problem and the identification problem.
2. Equilibrium characterization and identification in matching models. The previous theory is then applied to characterize equilibrium and provide identification in matching models with imperfectly transferable utility (ITU), including as special cases both the transferable utility (TU) and nontransferable utility (NTU) models.

References

Chiong, K., Galichon, A., and M. Shum, “Duality in dynamic discrete choice models”
Galichon, A., “DARUM: Deferred Acceptance for Random Utility Models”.
Galichon, A., S. D. Kominers and S. Weber, “Costly Concessions: Estimating the Unintended Consequences of Policy Intervention in Matching Markets”
Galichon, A. and B. Salanié, “Cupid’s Invisible Hand: Social Surplus and Identification in Matching Models”

FieldsSept2014

Mini-course

Estimation of Matching Models With and Without Transferable Utility

Fields Institute, September 17, 2014 (4h)

Course material

Available here.

Description of the Course

This lecture aims at providing an empirical framework for matching models with heterogeneity in tastes and general transfer technologies. It is organized in two parts:
1. Generalized Entropy of Choice and Capacity-constrained Discrete Choice. We first revisit the literature on random utility models by emphasizing the role of a proper generalization of the notion of entropy, defined using Legendre transforms. The duality between the selection model and the assignment model follows, as well as the duality between the equilibrium characterization problem and the identification problem.
2. Equilibrium characterization and identification in matching models. The previous theory is then applied to characterize equilibrium and provide identification in matching models with imperfectly transferable utility (ITU), including as special cases both the transferable utility (TU) and nontransferable utility (NTU) models.

References

Bonnet, O., Galichon, A., and M. Shum, “Yoghurt chooses man: estimating nonadditive discrete choice models”
Chiong, K., Galichon, A., and M. Shum, “Duality in dynamic discrete choice models”
Galichon, A., “DARUM: Deferred Acceptance for Random Utility Models”.
Galichon, A., S. D. Kominers and S. Weber, “Costly Concessions: Estimating the Unintended Consequences of Policy Intervention in Matching Markets”
Galichon, A. and B. Salanié, “Cupid’s Invisible Hand: Social Surplus and Identification in Matching Models”

LinearProgrammingSummer2014

Master Class

Linear Programming: Theory and Economic Applications

Sciences Po Summer 2014 (8h)

Course material

Available here.

Description of the Course

The course will focus on linear programming and its economic applications. The main concepts (feasibility, duality, complementary slackness) will be introduced. Algorithms and softwares will be discussed. Various applications will be proposed: optimal assignments, flows on networks, Walrasian equilibrium, discrete choice theory.

Day 1. (4h)
General introduction.
Fundamentals 1: Basic concepts and duality.
Application 1: Optimal assignments.
Application 2: Network flows.

Day 2. (4h)
Fundamentals 2. Computation: algorithms and softwares..
Application 3: Walrasian equilibrium.
Application 4: Discrete choice theory.

matching2014S

KECD 2175 – Seminar

Matching markets: theory and applications

Sciences Po, M2 Economics and Public Policy, PhD track Spring 2014 (24h)

Course information

Instructor: Alfred Galichon

Schedule: Mondays, 8am-10am, starting January 20, 2013. Classes will meet Jan 20, 27, Feb 3, 10, 17, Mar 3, 10, 17, 24, 31, and Apr 7 and 14.

Location: D501 – 199 bld Saint-Germain.

Validation: A test will be organized during last class.

Course material

Please email.

Description of the Course

The course will focus on the economic theory and the econometrics of matching and complementarities. It is intended to give the attendees an overview of the basic theory of matching with Transferable Utility, its testable implications, as well as its application to various fields such as labor economics, family economics, international trade and industrial organization. A particular emphasis is put on the empirical aspects and identification issues, and numerical methods will also be discussed. This course will not cover matching models without money and the Gale and Shapley algorithm (and applications such as the school choice problem, kidney exchanges) which will be covered in Sidartha Gordon’s Microeconomics 3 course.

 

Part I. Theory (9h)

1. Optimal matching and stability (9h). General introduction. Shapley-Shubik, welfare theorems. Network flows (time permitting). Optimization: theory and numerical methods.

Part II. Applications (15h)

2. The economics of the marriage market (5h). The Becker model. Choo and Siow’s model.

3. The economics of the labor market (5h). The Sattinger-Rosen “hedonic” approach. Rosen’s theory of superstars. CEO compensation.

4. International trade (5h). The Roy model. Ricardian models and Gravity revisited.

 

uncertainty2013W

KFIN 2655A – 16243

Decision under Risk

Sciences Po, M2, Finance and Strategy and M2, Financial Regulation and Risk Management
Winter 2013 (24h)

Course material

 

The course material is available here.

The institutional web page of the course is here.

Final exam’s grade statistics:

min 8,4
1st quartile 11,25
median 12,65
3rd quartile 13,9
max 16,55
mean 12,68889
stdev 1,75982

Course information

Teaching assistant is Odran Bonnet. Email: odran.bonnet@sciencespo.fr

Schedule: Tuesdays, 8am-10am, starting September 3, 2013.

Location: Albert Sorel – Leroy-Beaulieu (27, St Guillaume – 3ème étage, escalier des amphis).

Validation: Midterm (3h) and Final exam (3h).

Description of the course

This course is intended to give the students an overview on how the main concepts from Economics are used to deal with financial risks. It will put together many of the financial concepts seen across the master in a coherent framework, and will demonstrate how they are used in practice to make decisions facing risk. Risk is considered from three point of views: households, firms and the state.

First, individual decisions of households facing risk (insurance, investment, saving) are explored using Markowitz and Sharpe’s portfolio theory, with its implications for the asset management industry (L2). The notion of market for risk is presented in Arrow and Debreu’s equilibrium framework, with an application to prediction markets (L3). The limits of the mainframe theory are presented based on recent developments from behavioral finance and from macroeconomics (L4).

Second, the point of view of the firm is taken. What drives exchanges of risk? Are firms risk averse? The question is examined in the light of the Modigliani and Miller paradigm, and its consequences for financial disintermediation (L5). Economic theory suggests individual incentives within firms are a key aspect of the risk-taking behavior of the latter; applications to CEO compensation and capital structure are explored (L6). The conditions for risk to be traded efficiently are not always met; the concept of “market failures” is investigated, in particular moral hazard and adverse selection, which threaten the existence of some markets (L7).

Third, the point of view of the state is discussed. What is the rationale for the state to interfere with individual risk decisions? First, paternalism: agents may not take optimal decision for themselves. We shall discuss the welfare state and alternative models (L8). Second, externalities: risk taking behavior by financial institutions may have negative consequences for other market participants. We shall explore the essence of systemic regulation and its main tools (L9). We shall discuss financial bubbles and crisis, and investigate the case  for policy intervention (L10).

Two lectures will conclude the course. A case study will draw lessons from the past crisis in terms of risk management (L11). The last lecture will open up perspectives, especially in terms of careers opportunities (L12).

 

 

matching2013S

KECD 2175 – Seminar

Matching markets: theory and applications

Sciences Po, M2 Economics and Public Policy, PhD track
Spring 2013 (24h)

 

Please note: this is the webpage of a previous year. To go to the current year’s course webpage, please visit

http://alfredgalichon.com/courses/.

 

Lecture slides

The lecture slides  will be distributed in class or emailed upon request. A syllabus is available here.

Lecture 1 (1/23/2013): Introduction.
Lecture 2 (1/30): The optimal assignment problem.
Lecture 3 (2/6): Stability and the core. Optimal transportation.
Lecture 4 (2/13): Optimal transportation (continued). Assortative mating.
Lecture 5 (2/20): Transportation on networks.
Lecture 6 (2/27): The theory of hedonic models (1).
No lecture 3/6 (holidays).
Lecture 7 (3/13): The theory of hedonic models (2).
Lecture 8 (3/20): The econometrics of hedonic models (1).
Lecture 9 (3/27): The econometrics of hedonic models (2)
Lecture 10 (4/10): The econometrics of matching models: handout.
Lecture 11 (4/16): Search and friction in matching: handout.
Lecture 12 (4/17): Final exam. Perspectives: handout.

Course information

Schedule: Wednesdays, 8am-10am, starting January 23, 2013.

Location: Room H S2, 28 rue des Saints-Pères.

Validation: A test will be organized during last class.

Description of the course

The course will focus on the economic theory and the econometrics of matching  from a number of points of view. It is intended to give an overview of the basic theory of matching with transferable utility, its testable  implications, as well as its application to various fields such as hedonic models, labor economics, family economics, and to a lesser extent some other topics such as geographical economics and industrial organization. A particular emphasis is put on the empirical aspects and identification issues, and numerical methods will also be discussed.

 

The institutional web page of the course is here.

OTAE2009- Slides

Available slides:

Workshop “Optimization, Transport and Equilibrium in Economics” 2009 Abstracts and Papers

Abstracts

A. Blanchet (U. Toulouse): “Regular and singular points in the parabolic obstacle problem and application to American options”

D. Bosc (Polytechnique): “Numerical Approximation of the Brenier Map”

Yann Brenier (CNRS FR 2800 Nice, France):  “Competition and rearrangement theory”
Abstract: We describe a simple competition model based on rearrangement theory. A vectorial (multicriteria) version is directly linked to optimal transportation theory and can also be related to convection theory in fluid mechanics.

Giuseppe Buttazzo (U. Pisa):  “Optimal pricing problems with transportation costs”
Abstract: We consider an optimization problem in a given region where an agent has to decide the price of a product at every point. The customers know the pricing pattern and may shop at any place, paying the cost of the product and additionally a transportation cost. Two models will be considered: in the first one the agent operates everywhere, in the second one the agent operates only in a subregion. For both models a mathematical framework is provided and an existence result is given for a pricing strategy which maximizes the total profit of the agent. Some possible extensions and developments are discussed, as for instance the case of Nash equilibria when more agents operate on the same market.

C. Decker (U. Toronto): “When do preferences uniquely determine the number of marriages between different types in the Choo-Siow matching model? Sufficient conditions for a unique equilibrium” (joint w. R. McCann and B. Stephens)
In a transferable utility context, Choo and Siow (2005) introduced a marriage matching function which defines the gains generated by a marriage between agents of prescribed types in terms of the observed frequency of such marriages within the population, relative to the number of unmarried individuals of the same types.  This definition is scale independent. Left open in their work was the question of whether, for a given population whose frequency of types is known,  this gains matrix captures all of the additional statistical information used to define it.  In a joint work with Robert McCann and Benjamin Stephens, we resolve this question in the affirmative,  assuming the norm of the gains matrix (viewed as an operator) to be less than one.

J. Donaldson (LSE): “Asymmetric Information in Hedonic Markets”
Abstract:  I study the role of information in a market for single, indivisible production good, by building on recent work on hedonic markets by Ekeland and by Chiappori, McCann, and Nesheim.  I generalize the equilibrium concept to include signals and beliefs.  For each price, a solution to the classical Monge problem defines a pure cheap-talk pooling equilibrium match.  In contrast, if the sellers’ types are unobservable, then a separating equilibrium admits a complete information characterization.  Efficiency is lost in both cases, but equilibrium measures remain equivalent to surplus-maximizing measures for appropriately modified surplus functions.

I. Ekeland (UBC): “Optimal Transportation and the Structure of Cities”

A. Figalli (Polytechnique): “The optimal partial transport problem”
Abstract: Given two densities of mass f and g, a variant of the classical optimal transport problem consists in transporting a fixed fraction of the mass of f onto g as cheaply as possible. First of all, we will see how one can prove in this setting existence and uniqueness of an optimal transport map. Moreover we will see that the issue of the regularity of this map translates into the study of a Monge-Ampere equation in a domain with free boundary, and in this way local regularity of the optimal transport map and $C^1$ regularity of the free boundary can be proven. In contrast with the classical case, this regularity result is optimal: we can construct two smooth densities on the real line, respectively supported on an interval, such that the optimal map is not.

P.-N. Giraud (ENSMP): “Hubbert peak oil and Hotelling rent revisited by a simulation model”

O. Guéant (Dauphine): “A reference case for mean field games”

C. Jimenez (U. Brest): “Movement of crowds and transport with a convex obstacle”

J.-M. Lasry (Dauphine): “Oil production, and strategic interaction with substitutes: an Mean-Field Game approach”

P.-L. Lions (Dauphine): “Mean-Field Games”

Bertrand Maury (Universite Paris-Sud): “Crowd  evacuation  models of the gradient flow type”.
We are interested in modeling the evacuation of a building in an emergency situation. We propose  a class of  models based on the following considerations :  individuals tend to minimize their own dissatisfaction, and the global  instantaneous behaviour results from  a balance between fulfillment  of individualistic tendencies and respect of the congestion constraint. This modelling approach can be carried out microscopically (each individual is represented by a disc) and  macroscopically (the population is described by a diffuse density). The microscopic model has a natural  gradient  flow structure. We will  describe how the Wasserstein setting, which in some way consists in following people in their motion (in a Lagrangian way) makes it possible to extend the gradient flow structure to the macroscopic model, and provides a natural framework for this type of unilateral evolution problem. We will present numerical strategies to solve those problems, and illustrate their behaviour in some standard situations. In particular we will emphasize the fact that the steepest descent principle on which the model is based is likely to lead to highly unoptimal evacuation in practice.

R. McCann (U. Toronto): “When is multidimensional screening a convex program?”  (joint with Alessio Figalli and Young-Heon Kim)
Paper and abstract available here.

J.-M. Morel (ENS Cachan): “Topics in Landscape evolution modeling”
Abstract: In this talk I’ll present a PDE basic model for landscape evolution that stems from discussions with Giuseppe Buttazzo, Filippo Santambrogio, and simulations and numerical schemes devised by Alexander Chen. This tentative basic model is a system of three PDE’s. Its goal is to give the simplest formalization of the joint three phenomena that build landscape, namely erosion, transport,  and sedimentation. The main question is whether this system can explain some features of landscape evolution, such as the formation of valleys and canyons.

Pascal Mossay (Henley Business School, U. Reading): “On Spatial Equilibria in a Social Interaction Model” (joint work with Pierre PICARD, University of Manchester)
Abstract: Social interactions are at the essence of societies and explain the gathering of individuals in villages, agglomerations, or cities. We study the emergence of multiple agglomerations as resulting from the interplay between spatial interaction externalities and competition in the land market. As opposed to Beckmann’s original framework, agents get dispersed across several cities distributed along a circle. Spatial equilibrium configurations involve a high degree of spatial symmetry in terms of city size and location, and can be Pareto-ranked.

Ludger Ruschendorf (U. Freiburg): “Optimal mass transportation in risk measures and dependence orderings”

A. Pratelli (Pavia-Madrid): “Which planar convex set has the longest minimal bisecting chord?”
Abstract: We will discuss an old open problem which is extremely easy to state: for any   convex set in the plane, there are of course infinitely many bisecting chords (i.e. chords which divide the set in two parts of the same area), and by trivial compactness there is a shortest one. The problem is to determine, among all the sets with fixed area, which one has the longest minimal chord. At first glance, it may seem that the solution should be the disk, but it is known since years that it is not so, and the solution is not known. We will give the solution in a suitable class of convex sets, and discuss what can be said in the general case.

Eugene Stepanov (U. St Petersburg): “New results on classical Steiner problem and its relationship with mass transportation”.
Abstract. A classical Steiner (minimal connection) problem will be discussed in a general setting and topological as well as some geometrical regularity properties of its solutions will be studied. Finally, we will relate this problem to some mass transportation problems

B. Salanie (Columbia U.): “Matching with trade-offs” (joint with A. Galichon)
Abstract: We investigate in this paper the theory and econometrics of optimal matchings with competing criteria. The surplus from a marriage match, for instance, may depend both on the incomes and on the educations of the partners, as well as on characteristics that the analyst does not observe. Even if the surplus is complementary in incomes, and complementary in educations, imperfect correlation between income and education at the individual level implies that the social optimum must trade off matching on incomes and matching on educations. We characterize, under mild assumptions, the properties of the set of feasible matches, and of the socially optimal match. Then we show how data on the covariation of the types of the partners in observed matches can be used to test that the observed matches are socially optimal. Under optimality, our procedure also provides an estimator of the parameters that define social preferences over matches. We illustrate our approach on data from the June 1995 CPS.

M. Scarsini (LUISS): “Repeated Congestion Games with Local Information” (joint with Tristan Tomala)
Abstract: Congestion game is a widely used model to represent interactions of many agents who share common and limited resources. In this framework, agents or players act independently and choose which resource to use. The cost of using a resource is an increasing function of the total number of agents who use it, thus the name congestion. Typical applications are road traffic and internet routing. When agents act independently and selfishly, the system is expected to reach an equilibrium, that is a situation where each choice is optimal form an individual standpoint, taking the behavior of the rest of the society as fixed. From a social perspective this outcome can be quite bad. The equilibrium might well fail to maximize the social welfare. It might even be the case that agents unanimously prefer another outcome to the equilibrium, but fail to reach it, in absence of a coordination device.
In this talk we examine conditions under which efficiency can be obtained in equilibrium by repeating the game. The difficulty in doing so resides in the fact that each player cannot observe the moves of all other players but only of the ones with whom she shares a path.

W. Schachermayer (U. Vienna): “Optimal and better transport plans”
Abstract: We consider the Monge-Kantorovich transport problem in a purely measure theoretic setting, i.e. without imposing continuity assumptions on the cost function. It is known that transport plans which are concentrated on c-monotone sets are optimal, provided the cost function c is either lower semi-continuous and finite, or continuous and may possibly attain the value ∞. We show that this is true in a more general setting, in particular for merely Borel measurable cost functions which are finite almost everywhere on an open set. In a previous paper Schachermayer and Teichmann considered strongly c-monotone transport plans and proved that every strongly c-monotone transport plan is optimal. We establish necessary and sufficient conditions on c-monotone transport plans to be strongly c-monotone.

E. Stepanov (St. Petersburg): “New results on classical Steiner problem and its relationship with mass transportation”

 

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Workshop “Optimization, Transport and Equilibrium in Economics” 2009 program

Monday, July 6th

11-11.45am:
I. Ekeland, “Optimal Transportation and the Structure of Cities”

11.45-12.30am:
A. Figalli, “The optimal partial transport problem”

Lunch break

2.15-3.00pm:
Y. Brenier, “Competition and rearrangement theory”

3.00-3.45pm:
Eugene Stepanov, “New results on classical Steiner problem and its relationship with mass transportation”

Coffee break

4.15-5.00pm:
J.-M. Morel, “Topics in Landscape evolution modeling”

5.00-5.45pm:
J.-M. Lasry, “Oil production, and strategic interaction with substitutes: an Mean-Field Game approach”

Dinner at Palais du Luxembourg (French Senate, 15 bis, rue de Vaugirard 75006 Paris) (by invitation)

Tuesday, July 7th

9.00-9.45am:
A. Pratelli, “Which planar convex sets has the longest minimal bisecting chords”

9.45-10.30am:
G. Buttazzo, “Optimal pricing problems with transportation costs”

Coffee break

11.00-11.45am:
P.-N. Giraud, “Hubbert peak oil and Hotelling rent revisited by a simulation model”

11.45am-12.30pm:
P. Mossay, “On Spatial Equilibria in a Social Interaction Model”

Lunch break

2.15-3.00pm:
L. Ruschendorf, “Optimal mass transportation in risk measures and dependence orderings”

3.00-3.45pm:
B. Maury, “Crowd  evacuation  models of the gradient flow type”

Coffee break

4.15-5.00pm:
M. Scarsini, “Repeated congestion games with local information”

5.00-5.45pm:
A. Galichon, “Matching with trade-offs”

5.55pm-6.40pm:
Junior Session I

J.R. Donaldson, “Asymmetric Information in Hedonic Markets”
D. Bosc, “Numerical Approximation of the Brenier Map”

7.45pm Dinner at restaurant La Contrescarpe, 57 Rue Lacépède, 75005 Paris (by invitation).

Wednesday, July 8th

9.00-9.45am:
P.-L. Lions, “Mean-Field Games”

9.45-10.30am:
W. Schachermayer, “Optimal and better transport plans”

Coffee break

11.00-11.45am:
C. Jimenez, “Movement of crowds and transport with a convex obstacle”

11.45am-12.30pm:
junior session II

O. Guéant, “A reference case for mean field games”
C. Decker, “When do preferences uniquely determine the number of marriages between different types in the Choo-Siow matching model? Sufficient conditions for a unique equilibrium”

Lunch break

2.15-3.00pm:
A. Blanchet, “Regular and singular points in the parabolic obstacle problem and application to American options”

3.00-3.45pm:
R. McCann “On the principal-agent problem”

Workshop closure and coffee break

 

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