Speaker: Dr Yuelan Chen

Affiliation: School of Economics, The University of Queensland (http://www.uq.edu.au/~uqychen7/cv1009.pdf)

Title: Political Compensation in Two-Stage Elections (with Sven Feldmann)

Date/time: Tuesday 7th December 11am—12 Noon (All Welcome – drinks and lunch to follow the presentation)

Location: Sir Neil Waters Lecture Theatre NW100, Massey University, Albany Campus

Abstract: We study a two-stage election with two parties, each nominating a candidate in the ﬁrst stage primary election to compete with the other party’s nominee in the second stage general election. This resembles the U.S. presidential election and is used in many countries in the world, but has largely escaped attention in the literature. We extend Coleman (1971) and Roemer (1997) to model such elections in the presence of uncertainty about the median voter’s position in the general election. For a given nominee by the other party, each voter in the primary chooses an optimal policy which takes into account both her ideological preference and each candidate’s winning probability in the general election. We characterize sufficient conditions under which the two parties’ equilibrium policies are their respective median voter’s optimal policy against each other. In particular, such a stable outcome is possible only if we allow candidates to freely enter or withdraw from the primary elections.

# Author Archives: crus754

# Job advertisement UC Irvine

A job advertisement that may be of interest to CMSS members.

# Computational Social Choice paper in CACM

Communications of the Association for Computing Machinery is the most prestigious general expository journal for Computer Science. A useful review article entitled Using Complexity to Protect Elections has been published this month by Piotr Faliszewski, Edith Hemaspaandra and Lane Hemaspaandra. Piotr has visited the CMSS earlier this year and the other authors are collaborators of CMSS members.

# CS Dept Seminar: M. Wilson 2010-10-20

When: 12-1pm Wednesday 20 October, 2010

Where: Seminar Room, 303S.279

Speaker: Dr. Mark Wilson

Organisation: Computer Science, University of Auckland

Title: What is Computational Social Choice?

Abstract: In the last decade there has been an explosion of activity at the interface between computer science and economics. I will give a survey of some of this work, biased toward those areas about which I have substantial knowledge and/or interest, especially including voting rules.

Slides are available from my homepage www.cs.auckland.ac.nz/~mcw/blog/

Biography: Mark Wilson has worked in the Department of Computer Science since 2001. He received degrees from the University of Canterbury and the University of Wisconsin-Madison, was an NZST Postdoctoral Fellow at the University of Auckland, and followed this with 3 years teaching in the USA. His main research interests involve the interface between discrete mathematics, theoretical computer science, and social choice theory. He is the Acting Director of the recently established Centre for Mathematical Social Sciences.

# Seminar: S. Lippert 2010-10-20

Speaker: Steffen Lippert

Affiliation: School of Economics and Finance, Massey University at Albany

Title: “On Moral Hazard and Joint R&D” (with Simona Fabrizi)

Date: Wednesday, 20 October

Time: 4:00 pm

Location: 301-242 [Science Centre, Symonds Street]

ABSTRACT

We analyze two entrepreneurs’ choices of how much to invest in competing product innovation projects, and whether to conduct them competitively, in a cross-licensing agreement, or in an R&D joint venture. We distinguish late and early-stage projects and allow for cooperative and non-cooperative conduct in the product market ensuing an R&D joint venture. We find that early-stage projects are more likely carried out as stand-alone R&D or in cross-licensing agreements than late-stage projects; and that lenient enforcement of non-cooperative product-market conduct after R&D joint ventures should depend on the stage of the R&D project. We propose a ‘market-size – synergy defense.’

# Seminar: M. Perry 2010-09-15 16:00

Speaker: Motty Perry

Affiliation: Hebrew University of Jerusalem and University of Warwick

Title: Dynamic Optimal Contracts with Adverse Selection and Moral Hazard

Date: Wednesday, 15 September 2010

Time: 4pm

Location: 301-242 [Science Centre, Symonds Street]

Abstract: This paper studies a novel dynamic principle – agent setting with moral hazard and adverse selection (persistent as well as repeated). In the model an expert whose skills is his private information, faces a finite sequence of tasks, one after the other. Each task’s level of difficulty is an independent random variable revealed, upon arrival, to the expert only. On each task in turn the expert choose whether to pass or to work, and how much effort to exert. While the choice of work/pass is public, his effort is his private information.

The optimal contract-pair which takes advantage of the dynamic nature of the interaction is characterized. It is shown that as the length of the contract increases, the expected transfer per-period goes down and in the limit approaches the optimal payment when agent’s skills are publicly known.

One example of such a dynamic interaction is the one occurs between a money manager who receives funds from investors, and then observes a sequence of investment opportunities. Another example that nicely fits this model is the design of optimal contracts to surgeons of different quality, to treat a flow of patients whose problems are the surgeon’s private information.

Joint work with A. Gershkov.

# Seminar: T. Gvozdeva 2009-07-13

Speaker: Tatyana Gvozdeva

Affiliation: The University of Auckland

Title: A new bound for simple games

Date: Monday, 13 Jul 2009

Time: 3:00 pm

Location: Room 401

Comparative probability orders are closely related to simple games and cancellation conditions for these orders are very similar to trading transforms for games. In this talk we exploit this similarity to obtain new examples of simple games using Fishburn’s examples of comparative probability orders. These examples give us a new lower bound on the lengths of certificate of non-weightedness for simple games, which is better than the best known one given by Taylor and Zwicker (1992). Our lower bound is linear in the number of players while the one by Taylor and Zwicker is equal to the square root of n.

# Seminar: M. Ryan 2009-06-22

Speaker: Matthew Ryan

Affiliation: Economics Department, The University of Auckland

Title: Mixture Sets – An Introduction

Date: Monday, 22 Jun 2009

Time: 3:00 pm

Location: Room 401, Science Centre

A mixture set is an abstract convex structure introduced by Herstein and Milnor (Econometrica, 1953) as a foundation for the expected utility representation theorem (representation of preferernces by a linear utility function). Mixture sets combine a set X with a ternary relation T that maps (x,y,t) to an element of X for each x,y in X and each t in [0,1] — the t-mixture of x and y. Herstein and Milnor consider infinite mixture sets, but the notion is well-defined even for finite X. This raises the question of the relationship between mixture sets and abstract convex geometries (discussed by Arkadii in previous Workshops). It appears that neither is a special case of the other. This talk will introduce mixture sets, and what is — and isn’t — known about them.

# Seminar: T. Gvozdeva 2009-05-18

Speaker: Tatyana Gvozdeva

Affiliation: The Univesity of Auckland

Title: Roughly weighted simple games

Date: Monday, 18 May 2009

Time: 3:00 pm

Location: Room 401

In this talk we will give a necessary and sufficient condition for a simple game to have rough weights. As in the classical Taylor-Zwicker (1992) theorem this will be done in terms of trading transforms. We will give some bounds on the lengths of certificates of non-existence of rough weights and explore games with small number of players.

# Seminar: A. Slinko 2009-05-11

Speaker: Arkadii Slinko

Affiliation: The University of Auckland

Title: Simple games: what are the questions?

Date: Monday, 11 May 2009

Time: 3:00 pm

Location: Room 401

A simple game consists of a finite set of objects (players) and some subsets (coalitions) are marked as winning and the rest are therefore losing. The monotonicity condition is imposed which says that a superset of a winning coalition is winning. Simple games are used to model the distribution of power in a body of agents, say which coalitions of countries can pass a motion in the UN Security Council. A simple game also may model the access structure of a secret-sharing scheme – in this case winning coalitions are those who authorised to know the secret.

In this talk I will introduce some basic concepts and formulate a number of open questions. Most are concerned either with finding conditions under which the power of a player can be expressed by a real number or conditions under which all players can be ranked in accordance to their power.

The concept of a trading transform will be introduced and several numerical functions which characterise the game will be introduced too. The emphasis will be on games that have extremal values of those parameters. Gabelman games will be considered in particular.

The talk will not present anything new. A week later Tatyana Gvozdeva will discuss some new results.