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dc.contributor.authorPINOLE, Julie Sara Émilie
dc.date.accessioned2019-07-03T07:21:55Z
dc.date.issued2019
dc.identifier.citationFlorence : European University Institute, 2019en
dc.identifier.urihttps://hdl.handle.net/1814/63504
dc.descriptionDefence date: 26 June 2019en
dc.descriptionExamining Board: Prof. David K. Levine, European University Institute (Supervisor); Prof. Andrea Mattozzi, European University Institute; Prof. Yann Bramoullé, CNRS, Aix-Marseille School of Economics (External Co-Supervisor); Prof. Dino Gerardi, Collegio Carlo Albertoen
dc.description.abstractThis dissertation consists of three self-contained essays on the economics of social interactions. The first chapter is coauthored with Lorenzo Verstraeten. Knowing that Individuals interact with their peers, we study how a social planner can intervene, changing these interactions, in order to achieve a particular objective. When the objective is welfare maximization, we describe the interventions for games of strategic complements and strategic substitutes. We show that, for strategic complements, the planner uses resources to target central players; while she divides individuals into separated communities in the case of strategic substitutes. We study which connections she targets in order to achieve these goals. The second chapter is coauthored with Lorenzo Verstraeten and analyzes a model of contagion on social network. We ask how a social planner should intervene to prevent contagion. We characterize the optimal intervention and the cost associated. We discuss the intuition behind the choice of the planner and we provide comparative static on the cost of intervention for different type of network. In the third chapter I develop a theoretical study about groups relationship and ask whether intragroup cooperation crowd-out intergroup cooperation. I consider a gift-giving game where cooperation endogenously arises, within and across groups. Cooperation is sustained through peer punishment with the help of a group specific monitoring technology. I specify under which conditions cooperation crowding-out occur. I identify two classes of equilibrium: a Sorting equilibrium where guilty players prefer to be matched outside their group due to a less efficient Out-Group monitoring technology, and a Non Sorting equilibrium where the higher level of In-Group cooperation makes it more attractive for everybody. I then compare their welfare properties and draw conclusions on optimal punishment levels.en
dc.description.tableofcontentsChapter 1: Optimal intervention for network games 1 Introduction 2 Literature Review 3 The Model 3.1 The setup 3.2 Equilibrium 4 Closest network structure to implement a chosen vector of actions 4.1 Case 1: Unconstrained intervention 4.2 Case 2: Symmetric intervention 4.3 Case 3: Sparse intervention 5 Closest network structure that maximizes welfare 11 5.1 The planner's problem 5.2 Equilibrium pro_le's reaction to planner's intervention 6 Comparison with GGG 7 Network structure analysis 8 Other Interventions 9 Appendix 9.1 Proof of theorem 1 9.1.1 Projection of the equilibrium pro_le before intervention 9.1.2 Projection of the equilibrium pro_le after intervention 9.1.3 Comparing the ratio of projections on two di_erent right singular vectors 9.2 Proof of proposition 4 9.3 Optimal intervention under symmetry constraint Chapter 2: Stopping contagion: optimal network intervention 1 Introduction 2 Literature Review 3 3 The Model 3.1 Discussion of the epidemic threshold 4 Optimal immunization 5 Applications 5.1 Example 1 5.1.1 Initial structure 5.1.2 Post-intervention structure 5.1.3 Comparative statics of the cost of intervention 5.2 Example 2 5.2.1 Initial structure 5.2.2 Post-intervention structure 5.2.3 Comparative statics of the cost of intervention 5.3 Example 3: homogeneous versus heterogeneous networks 6 Conclusion Chapter 3: Does intragroup cooperation crowd-out intergroup cooperation? 1 Introduction 2 Literature Review 3 The Model 3.1 Stage Games 3.1.1 Pre-matching Stage: Choice of the Targets of the Signalling Technology 3.1.2 Matching Process 3.1.3 Post-matching Stage: Gift-Giving Stage 3.2 Signal Processing 3.3 Strategies and Equilibrium de_nition 3.3.1 Strategies 3.3.2 Equilibrium De_nition 4 Players Incentives 4.1 Old Players Incentives 4.1.1 Optimal Choice when xi = _(gi; gj ; sj) 4.1.2 Optimal Choice when xi 6= _(gi; gj ; sj) 4.2 Young Players Incentives 4.2.1 Non-Sorting Equilibrium 4.2.2 Sorting Equilibrium 5 Typology of equilibrium 68 6 Non Sorting Equilibrium and Crowding-out 69 6.1 Case 4: _0; _1 < 1 and ICNS _0 ; ICNS _1 are binding 6.2 Case 5: _0 < 1; _1 = 1, ICNS _0 is binding and ICNS _1 is not binding 6.3 Case 6: _0 = 1; _1 = 1, no Incentive Constraint is binding 7 Sorting versus Non Sorting Equilibria 7.1 Drivers of Equilibrium type 7.2 Welfare analysis 8 Conclusionen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherEuropean University Instituteen
dc.relation.ispartofseriesEUIen
dc.relation.ispartofseriesECOen
dc.relation.ispartofseriesPhD Thesisen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subject.lcshSocial interaction -- Economic aspects
dc.subject.lcshEconomics -- Sociological aspects
dc.subject.lcshSocial networks
dc.subject.lcshSociometry
dc.titleEssays on the economics of social interactionsen
dc.typeThesisen
dc.identifier.doi10.2870/905501
dc.identifier.doi10.2870/905501
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