The Faculty of Economic and Social Sciences (GTK) of the Budapest University of Technology and Economics (BME) invites applications for two full-time postdoctoral research positions at the Quantitative Social and Management Sciences Research Centre starting in the fall of 2023 at the latest.
Research Fields of interest: Game Theory, Evolutionary Game Theory, Signalling Theory, Reciprocity Theory, Economic Theory, Industrial Organization, Management, Platform Economics, Production Management, Operations Research, Social Choice Theory, Sustainable Development, Energy Economics, Apportionment, Network- and Experimental Economics and other quantitative fields and topics.
Applicants should have a PhD degree before taking up the position. The duration of the postdoctoral positions is three years. During this time, postdocs have the possibility to get involved in the teaching and other activities of the various departments and obtain tenure there: we expect to have 1 or more openings in 2026. We offer favourable conditions regarding research facilities, data access, time devoted to research, travel support, etc. While the position is research only, there will be opportunities to teach at the graduate level.
The Faculty of Economic and Social Sciences is the youngest faculty of the Budapest University of Technology and Economics, comprising various departments and study programmes. BME is a widely-acclaimed institute of technology and the world’s oldest technical university celebrating its 240th academic year.
Application Procedure: Interviews will be conducted virtually 12-15 December 2022. Applications consisting of a motivation letter, CV, 3 referee letters and the job market paper must be submitted online at http://www.econjobmarket.org.
Deadline: The search amongst applicants will start on 15 November 2022 and continues until the positions are filled. For the job market, only applications received no later than 5 December 2022 will be considered.
Further information: Questions, but not applications, can be sent to egervari.zsuzsanna.@gtk.bme.hu.
Sreoshi Banerjee (QSMS Research Group, BME) will be presenting her paper “GENERALIZED WELFARE LOWER BOUNDS AND STRATEGYPROOFNESS IN
SEQUENCING PROBLEMS “ on October 25th at 10 AM, room QA405. One-to-one meetings with the speaker can be arranged; please contact the seminar organizers, Dr. Noémie Cabau (firstname.lastname@example.org) and Dr. Arseniy Samsonov (email@example.com).
Abstract: In an environment with private information, we study the class of sequencing problems with welfare lower bounds. The ‘generalized welfare lower bound’ is a universal representation of some of the specific lower bounds that have been previously studied in the literature. Every agent is offered protection in the form of a minimum guarantee on their utilities. We provide a necessary and sufficient condition to identify an outcome-efficient and strategyproof mechanism that satisfies the generalized welfare lower bound. We then characterize the entire class of mechanisms that satisfy outcome efficiency, strategyproofness, and generalized welfare lower bound. These are termed as ‘relative pivotal mechanisms’. Our paper proposes relevant theoretical applications namely; ex-ante initial order, identical costs bound and expected cost bound. We also give insights on the issues of feasibility and/or budget balance.
Ryan Tierney from the University of Southern Denmark will be presenting his paper “Crowding in School Choice“ on October 18th at 10 AM, room QA405. One-to-one meetings with the speaker can be arranged; please contact the seminar organizers, Dr. Noémie Cabau (firstname.lastname@example.org) and Dr. Arseniy Samsonov (email@example.com).
Abstract: We consider the market design problem of matching students to schools in the presence of crowding effects. These effects are salient in parents’ decision making and the empirical literature; however, they cause major difficulties in the design of satisfactory mechanisms and, as such, are not currently considered. We propose a new framework and an equilibrium notion that accommodates crowding, no-envy, and respect for priorities. The equilibrium has a student-optimal element that induces an incentive compatible mechanism and is implementable via a novel algorithm. Moreover, analogs of fundamental structural results of the matching literature—the Rural Hospitals Theorem, welfare lattice, etc.—survive.
Vivien Surman from BME, Management department, will be presenting her paper “Characterizing clusters of students and supervisors based on an empirical study in the case of project work courses“ on October 11th at 10 AM, room QA405. One-to-one meetings with the speaker can be arranged; please contact the seminar organizers, Dr. Noémie Cabau (firstname.lastname@example.org) and Dr. Arseniy Samsonov (email@example.com).
Abstract: The purpose of this research is to describe the different clusters of students completing project work courses and to characterize lecturers acting as supervisors as well. The existence of different student groups setting different requirements against the supervising process has been emerged by supervisor focus group interviews in the improvement process of a service quality framework for project work courses. Cluster analyses based upon data from this service quality framework have proved the presence of three well-definable student groups. At the same time, the specific attributes of the supervisors including age, experience, grade distribution have also been gathered and analysed. The student classification is based on feedbacks of 1500 students. Supervisor characterization results from the analyses of 800 previously finished project work courses. As a result, it could be confirmed that both the students and the supervisors could be classified into well-defined groups in the case of project work courses. Finally, the characteristics of the identified groups of students and that of supervisors have been compared with statistical methods, highlighting connections between the groups. As these project work courses are remarkable cornerstones of total higher education student experience, characterizing the service quality features of the supervision process is vital. On the long run, the successful pairing of student groups with supervisor groups having specific features could be carried out for the sake of successful student accomplishment and for standardizing the supervision process as well.
News Media Bargaining Codes, Luca Sandrini and Robert Somogyi’s joint project, was awarded a NET Institute Summer Grant.
The project investigates the welfare effects of a policy intervention that mandates digital platforms (notably Facebook and Google) to negotiate compensation with news publishers for the excessive loss in advertising revenues that the latter are experiencing. By introducing the News Media and Digital Platforms Mandatory Bargaining Code, the Australian government was the first to legislate such a policy. This research project aims to understand the effect of such regulations on consumers and news quality. The analysis distinguishes two main scenarios. First, if the news quality is insensitive to the policy (news publishers do not adjust their investments upon receiving a transfer), the codes increase welfare and never harm consumers. Second, a poorly designed transfer can be inefficient if news publishers set news quality endogenously. However, even an inefficient policy never harms consumers. Furthermore, the research provides some guidance on designing an efficient transfer scheme.
The first draft of the paper analyzing these issues will be available in the Fall as a NET Institute Working Paper. The NET Institute funds a number of scientific research projects in the area of network industries, including wired and wireless networks, “virtual networks,” electronic commerce, telecommunications, the Internet, platforms, and two-sided markets. It is expected that funded research will eventually be published in top academic research journals. The NET Institute’s board of directors consists of:
- Dr Vinton G. Cerf, Vice President & Chief Internet Evangelist, Google
- Professor Nicholas Economides, Stern School of Business, New York University (Executive Director)
- David A. Heiner, Vice President & Deputy General Counsel, Microsoft Corporation
- Dr Nathan Myhrvold, CEO, Intellectual Ventures
- Professor Ariel Pakes, Economics Department, Harvard University
Dov Samet from the Coller School of Management at Tel Aviv University will be presenting his paper “Desirability” on October 4th at 10 AM, room QA405. One-to-one meetings with the speaker can be arranged; please contact the seminar organizers, Dr. Noémie Cabau (firstname.lastname@example.org) and Dr. Arseniy Samsonov (email@example.com).
Abstract: We propose a model of an agent’s probability and utility that is a compromise between Savage (1954) and Jeffrey (1965). In Savage’s model the probability-utility pair is associated with preferences over acts which are assignments of consequences to states. The probability is defined on the state space, and the utility function on consequences. Jeffrey’s model has no consequences, and both probability and utility are defined on the same set of propositions. The probability-utility pair is associated with a desirability relation on propositions. Like Savage we assume a set of consequences and a state space. However, we assume that states are comprehensive, that is, each state describes a consequence, as in Aumann (1987). Like Jeffrey, we assume that the agent has a preference relation, which we call desirability, over events, which by definition involves uncertainty about consequences. For a given probability and utility of consequences, the desirability relation is presented by conditional expected utility, given an event. We axiomatically characterize desirability relations that are represented by a probability-utility pair. We characterize the family of all the probability-utility pairs that represent a given desirability relation.
Anastas Tenev from the Institute of Economics at Corvinus University will present his paper “Information Design for Weighted Voting” (co-authored with Toygar T. Kerman) on September 20th at 10 AM, room QA405. One-to-one meetings with the speaker can be arranged; please contact the seminar organizers, Dr. Noémie Cabau (firstname.lastname@example.org) and Dr. Arseniy Samsonov (email@example.com).
Abstract: We consider a sender who wishes to persuade multiple receivers to vote in favor of a proposal and sends them correlated messages that are conditional on the true state of the world. The receivers share a common prior, wish to implement the outcome that matches the true state, and have homogeneous preferences, but are heterogeneous in their voting weights. Given a weight profile, an optimal signal can be represented by a tractable linear programming problem. We employ insights from cooperative game theory and interpret the voting problem as a simple game to analyze optimal communication for various voting situations. While public communication is optimal under weak, oligarchic, or dictatorial games, the sender can significantly benefit from private communication under symmetric, strong, or non-weak proper games. To the best of our knowledge, this is the first attempt to analyze a weighted voting application of Bayesian persuasion.