Choosing Institutional Microfeatures: Endogenous Seniority Kenneth A. Shepsle Harvard University Keynote Address Second Annual International Conference.

Slides:



Advertisements
Similar presentations
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 3.1.Dynamic Games of Complete but Imperfect Information Lecture
Advertisements

How to Schedule a Cascade in an Arbitrary Graph F. Chierchetti, J. Kleinberg, A. Panconesi February 2012 Presented by Emrah Cem 7301 – Advances in Social.
ECON 100 Tutorial: Week 9 office: LUMS C85.
Elections and Voting Behavior
Stackelberg -leader/follower game 2 firms choose quantities sequentially (1) chooses its output; then (2) chooses it output; then the market clears This.
How many decisions affecting our daily life are made through the political process? What is public choice? What is the relationship of public choice and.
Evolution and Repeated Games D. Fudenberg (Harvard) E. Maskin (IAS, Princeton)
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 2.5.Repeated Games Lecture
Evolutionary Game Algorithm for continuous parameter optimization Alireza Mirian.
Remarks on a Political Modeling Strategy for Social Systems Detlef Sprinz PIK - Potsdam Institute for Climate Impact Research.
NOGA ALON, MOSHE BABAIOFF, RON KARIDI, RON LAVI, MOSHE TENNENHOLTZ PRESENTED BY EREZ SHABAT Sequential Voting with Externalities: Herding in Social Networks.
Rational Learning Leads to Nash Equilibrium Ehud Kalai and Ehud Lehrer Econometrica, Vol. 61 No. 5 (Sep 1993), Presented by Vincent Mak
David Bryce © Adapted from Baye © 2002 Game Theory: The Competitive Dynamics of Strategy MANEC 387 Economics of Strategy MANEC 387 Economics.
Chapter 6 Extensive Games, perfect info
Electoral agency in the lab Leif Helland & Lars Monkerud NSM BI.
Static Games of Complete Information: Subgame Perfection
PAYG pensions with endogenous fertility Volker Meier Ifo Institute for Economic Research.
A bargaining approach to the ordinal Shapley rule Juan Vidal-Puga The latest version of this paper can be found at
DANSS Colloquium By Prof. Danny Dolev Presented by Rica Gonen
Games in the normal form- An application: “An Economic Theory of Democracy” Carl Henrik Knutsen 5/
Two-Stage Games APEC 8205: Applied Game Theory Fall 2007.
Semester 2, Seminar 7 – Contracting & Accounting Information Financial Accounting.
MAKING COMPLEX DEClSlONS
CONGRESS Chapter Thirteen. How Congress Operates Copyright © Houghton Mifflin Company. All rights reserved. 13 | 2 Awesome video explanation.
1 Game Theory Sequential bargaining and Repeated Games Univ. Prof.dr. M.C.W. Janssen University of Vienna Winter semester Week 46 (November 14-15)
Auction Seminar Optimal Mechanism Presentation by: Alon Resler Supervised by: Amos Fiat.
Chapter Thirteen Congress. Copyright © Houghton Mifflin Company. All rights reserved.13 | 2 The Evolution of Congress The intent of the Framers: –To oppose.
EC941 - Game Theory Prof. Francesco Squintani Lecture 5 1.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 4.1.Dynamic Games of Incomplete Information Lecture
The Role of Immigration in Sustaining the Social Security System: A Political Economy Approach By Edith Sand and Assaf Razin The Eitan Berglas School of.
1 THE PRESIDENCY CHAPTER SECTION 1 Objective I. Identify the President’s many roles.
Game Theory: introduction and applications to computer networks Game Theory: introduction and applications to computer networks Lecture 2: two-person non.
Introduction to the American Political Process Legislative Behavior: The Median Voter Theorem.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 2.1.Dynamic Games of Complete and Perfect Information Lecture
 The point estimators of population parameters ( and in our case) are random variables and they follow a normal distribution. Their expected values are.
Lecture 1 on Bargaining Setting the Agenda This lecture focuses on the well known problem of how to split the gains from trade or, more generally, mutual.
1 THE PRESIDENCY CHAPTER 13 2 SECTION 1 Objective I. Identify the President’s many roles.
Improved Competitive Ratios for Submodular Secretary Problems ? Moran Feldman Roy SchwartzJoseph (Seffi) Naor Technion – Israel Institute of Technology.
A Supplier’s Optimal Quantity Discount Policy Under Asymmetric Information Charles J. Corbett Xavier de Groote Presented by Jing Zhou.
Meeting the Challenges of Representation and Accountability in Multi-party Governments Wolfgang C. Müller and Thomas M. Meyer Anna Marta Zaremba.
Dynamic games, Stackelburg Cournot and Bertrand
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 0.Game Theory – Brief Introduction Lecture
Negotiating Socially Optimal Allocations of Resources U. Endriss, N. Maudet, F. Sadri, and F. Toni Presented by: Marcus Shea.
Institutional Analysis Lecture 6: Collective Action.
Entry Deterrence Players Two firms, entrant and incumbent Order of play Entrant decides to enter or stay out. If entrant enters, incumbent decides to fight.
Copyright © 2011 Pearson Education, Inc. Publishing as Longman.
1 Political Economics Riccardo Puglisi Lecture 8 Content: The Future of Pension Systems: Demographic Dynamics A Complex Simulation Model Evaluating the.
Political Economics Riccardo Puglisi Lecture 1 Content: The Political Economics Approach Methodological Tools Majoritarian Elections.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 2.1.Dynamic Games of Complete and Perfect Information Lecture
The political economy of government debt Advanced Political Economics Fall 2011 Riccardo Puglisi.
Congress. 13 | 2  The purpose of this chapter is to describe the roles and organization of Congress. After reading and reviewing the material in this.
Now that we have set of pure strategies for each player, we need to find the payoffs to put the game in strategic form. Random payoffs. The actual outcome.
Lecture V: Bargaining Recommended Reading: Dixit & Skeath, Chapter 17 Osborne, Chapter 6.1, 16 Powell, In the Shadow of Power, Ch. 3.
RUPAYAN GUPTA ROGER WILLIAMS UNIVERSITY November 8, 2012 Designing Institutions for Global Security.
Chapter Thirteen Congress. Copyright © Houghton Mifflin Company. All rights reserved.13 | 2 The Evolution of Congress The intent of the Framers: –To oppose.
Lecture VII: Agenda Setting Recommended Reading: Romer & Rosenthal (1978) Baron & Ferejohn (1989)
Game theory Chapter 28 and 29
Advanced Political Economics
541 People in Congress: 100; 435; 5;1
Advanced Political Economics
Game theory Chapter 28 and 29
Chapter Thirteen Congress.
Strategic Information Transmission
Sequential Voting with Externalities: Herding in Social Networks
Strategic Information Transmission
CASE − Cognitive Agents for Social Environments
Elections and Running for
M9302 Mathematical Models in Economics
Blockchain Mining Games
Presentation transcript:

Choosing Institutional Microfeatures: Endogenous Seniority Kenneth A. Shepsle Harvard University Keynote Address Second Annual International Conference Frontiers of Political Economics Higher School of Economics and New Economics School Moscow May 29-31, 2008

Introduction INSTITUTIONS: Imposition--institutional designers Choice--institutional players Emergence--historical process

Ubiquity of Seniority Legislatures Age grading LIFO union contracts PAYG pensions Academic & bureaucratic grade-and-step systems

Previous Modeling Approaches Binmore’s Mother-Daughter game Hammond’s Charity game Cremer and Shepsle-Nalebuff on ongoing cooperation Can an equilibrium privileging a senior cohort or generation be sustained?

Modeling the Choice of Institutions Legislators choose a seniority system Tribes select and sustain ceremonies and rights-of- passage between age-grades Unions and management negotiate last-in-first-out hiring/firing rules Social security and pension policies are political choices Grade-and-step civil service and academic schemes are arranged or imposed

McKelvey-Riezman Three subgames – institutional, legislative, electoral Definition: A legislator is senior in period t if he or she was –a legislator during period t-1 –reelected at end of period t-1

McKelvey-Riezman Institutional Subgame Majority Choice: In period t shall seniority be in effect? (yea or nay) Yea Seniors have higher initial recognition probabilities Nay The recognition probability is 1/N for all legislators

McKelvey-Riezman Legislative Subgame –Baron-Ferejohn Divide-the-Dollar –Random recognition with probabilities determined by seniority choice –Take-it-or-leave-it proposal –Recognition probabilities revert to 1/N if proposal fails

McKelvey-Riezman Election Subgame –Voter utility monotonic in portion of the dollar delivered to district –Legislators care about perks of office (salary) and a %age of portion of dollar delivered to district –Voters reelect incumbent or elect challenger –Incumbent and challenger identical except former has legislative experience

McKelvey-Riezman Time Line –Decision on seniority system –Divide-the-dollar game –Election

McKelvey-Riezman Main Result –In institutional subgame, incumbents will always select a seniority system –In equilibrium it will have no impact on legislative subgame –Because in the election subgame it will induce voters to re-elect incumbents

McKelvey-Riezman Main Result: Remarks Implication: In equilibrium all legislators are senior Implication: Divide-the-dollar game observationally equivalent to world of no seniority. But seniority has electoral bite

McKelvey-Riezman Main Result: Remarks Seniority defined as categorical (juniors and seniors) and restrictively Recognition probability advantage to seniors only initially In a subsequent paper they show that rational legislators would chose the “only initial” senior advantage, not “continuing” advantage

Muthoo-Shepsle Generalization Seniority still categorical But the cut-off criterion is an endogenous choice

Muthoo-Shepsle Generalization: Institutional Subgame Each legislator identified by number of terms of service, s i s = (s i ) state variable Each legislator announces a cut-off, a i The median announcement is the cut-off s* = Median {a i }

Muthoo-Shepsle Generalization s i > s* → i is senior s* = 0 → no seniority system s* > max i s i → no seniority system

Muthoo-Shepsle Generalization: Basic Set Up For cut off s*, let S be the number of seniors 1/S > p S > 1/N – senior recognition probability (p S ranges from 1/S if only seniors are recognized to 1/N if seniors have no recognition advantage) p S = (1 - S p S )/(N – S) – junior recognition probability p S < p S

Muthoo-Shepsle Generalization: Results Lemma (Bargaining Outcome). For any MSPE, state s, and cut off s* selected in the Institutional Subgame and discount parameter δ : –If S=0 or S=N, then all legislators expect 1/N of the dollar –0 < S < N, then the expectation of a senior (z s ) and a junior (z j ): z s = δ/2N + (1 – δ/2)p S z j = δ/2N + (1 – δ/2)p S Expected payoff monotonic in recognition probabilities for each type Lemma (Incumbency Advantage). In any MSPE voters re-elect incumbents.

Muthoo-Shepsle Generalization: Results Theorem (Equilibrium Cut Off). If p S is non- increasing in S and p S is non-decreasing in S, then there exists a unique MSPE outcome for any vector of tenure lengths s in which the unique equilibrium cut off, selected in the Institutional Subgame is s* = s M where s M is the median of the N tenure lengths in s. A seniority system is chosen and the most junior senior legislator is the one with median length of service.

Muthoo-Shepsle Generalization: Results Alternative seniority system? Definition. For s any element of s, P(s) is a probability-of- initial-recognition function. Theorem (Alternative seniority system). If a legislator is restricted to announce P(s) non-decreasing in s, then he will announce 0if s < s i P i (s) = 1/N(s i )if s > s i where N(s i ) is the number of legislators whose length of tenure is at least as high as s i

Muthoo-Shepsle: A Summing Up Under specified conditions the legislator with the median number of previous terms served will be pivotal She will set the cut-off criterion at her seniority level, even if she can offer a more fully ordinal schedule Selected categorical seniority system: most junior senior legislator has median number of previous terms of service

THANK YOU!