Showing posts sorted by relevance for query Pathak. Sort by date Show all posts
Showing posts sorted by relevance for query Pathak. Sort by date Show all posts

Sunday, June 8, 2014

NBER Market Design conference at Stanford, June 8-9, 2014

Here's the program:


NATIONAL BUREAU OF ECONOMIC RESEARCH, INC.
Market Design Working Group Meeting
Susan Athey and Parag Pathak, Organizers
June 8-9, 2014
Sheraton Palo Alto
Sequoia/Oak Room
625 El Camino Real
Palo Alto, CA

PROGRAM

Sunday, June 8:

8:30 am

Continental Breakfast

9:00 am

Haluk Ergin, Duke University
Tayfun Sonmez, Boston College
Utku Unver, Boston College
Living-Donor Lobar Liver/Lung Exchange

9:45 am
Yeon-Koo Che, Columbia University
Jinwoo Kim, Seoul National University
Fuhito Kojima, Stanford University
Stable Matching in Large Economies

10:30 am
Break

11:00 am
Nicolas Lambert, Stanford University
Michael Ostrovsky, Stanford University, Google, and NBER
Mikhail Panov, Stanford University
Strategic Trading in Informationally Complex Environments 

11:45 am
Nima Haghpanah, Northwestern University
Jason Hartline, Northwestern University
Reverse Mechanism Design

12:30 pm
Lunch

2:00 pm
Umut Dur, North Carolina State University
Scott Duke Kominers, Harvard University
Parag PathakMassachusetts Institute of Technology and NBER
Tayfun Sonmez, Boston College
The Demise of Walk Zones in Boston: Priorities vs. Precedence in School Choice

2:45 pm
Nikhil Agarwal, Yale University and NBER
Paulo SomainiMassachusetts Institute of Technology and NBER
Identification and Estimation in Manipulable Assignment Mechanisms

3:30 pm

Break

4:00 pm

Paul Milgrom, Stanford University
Ilya Segal, Stanford University
Deferred-Acceptance Auctions and Radio Spectrum Reallocation 

4:45 pm
Susan Athey, Stanford University and NBER
Denis Nekipelov, University of Virginia
Designing Large Advertising Markets When Agents Have Heterogeneous Objectives
5:30 pm
Adjourn

7:00 pm

Dinner at Il Fornaio
520 Cowper Street, Palo Alto


Monday, June 9:
8:30 am
Continental Breakfast

9:00 am
Liran Einav, Stanford University and NBER
Chiara Farronato, Stanford University
Jonathan Levin, Stanford University and NBER
Neel SundaresaneBay Research Labs
Sales Mechanisms in Online Markets: What Happened to Internet Auctions?

9:45 am

Lawrence Ausubel, University of Maryland
Oleg Baranov, University of Colorado Boulder
Revealed Preference in Bidding: Empirical Evidence from Recent Spectrum Auctions

10:30 am
Break

11:00 am
11:45 am
Eric Budish, University of Chicago
Judd Kessler, University of Pennsylvania
Changing the Course Allocation Mechanism at Wharton
12:30 pm
Joint ACM EC and NBER Lunch

2:00 pm
A Joint Session for EC, NBER and Decentralization on CS and Economics

Organized by the Events Chairs: 

Susan Athey, Stanford University and NBER
Moshe Babaioff, Microsoft
Vincent Conitzer, Duke University
David Easley, Cornell University
Fuhito Kojima, Stanford University
Scott Page, University of Michigan
Parag PathakMassachusetts Institute of Technology and NBER

Invited Speakers, Titles and Links to Abstracts:

Susan Athey, Stanford University and NBER The Economics of Crypto-Currencies 
Joaquin Candela, Facebook Machine Learning and the Facebook Ads Auction
Jon Kleinberg, Cornell University Computational Problems for Designed Social Systems
Tim Roughgarden, Stanford University Approximately Optimal Mechanisms Motivation, Examples, and Lessons Learned

5:30 pm
Adjourn

The joint conference, with activities by EC and Decentralization, will continue from Tuesday to Thursday.  On Tuesday morning, EC will have a keynote talk by Matt Jackson, followed by a poster session and EC technical session.  Additional details on the EC Conference, including registration information are available at http://www.sigecom.org/ec14/index.html

Friday, October 19, 2018

NBER Market Design Conference at Stanford, October 19-20

Here's the program and participant list:

Friday, October 19
8:30 am
Continental Breakfast
9:00 am
Olivier Terceiux, Top Trading Cycles in Prioritized Markets, a synthesis of:
Yeon-Koo Che, Columbia University
Olivier Tercieux, Paris School of Economics
Top Trading Cycles in Prioritized Matching: An Irrelevance of Priorities in Large Markets
Atila Abdulkadiroglu, Duke University and NBER
Yeon-Koo Che, Columbia University
Parag A. Pathak, Massachusetts Institute of Technology and NBER
Alvin E. Roth, Stanford University and NBER
Olivier Tercieux, Paris School of Economics
Minimizing Justified Envy in School Choice: The Design of New Orleans’ OneApp
9:45 am
Surender Baswana, IIT Kanpur
Partha Pratim Chakrabarti, IIT Kharagpur
Sharat Chandran, IIT Bombay
Yash Kanoria, Columbia University
Utkarsh Patange, Columbia University
Centralized Admissions for Engineering Colleges in India
10:30 am
Break
11:00 am
Onur Kesten, Carnegie Mellon University
Selcuk Ozyurt, Sabanci University
Efficient and Incentive Compatible Mediation: An Ordinal Market Design Approach
11:45 am
Dirk Bergemann, Yale University
Benjamin A. Brooks, University of Chicago
Stephen Morris, Princeton University
Revenue Guarantee Equivalence
12:30 pm
Lunch Talk
Michael Schwarz, Microsoft
Market Design, Reputation Systems, UX, and the Cost of User Time
2:00 pm
Xiao Liu, Tsinghua University
Zhixi Wan, Didi Chuxing Technology Co.
Chenyu Yang, University of Rochester
The Efficiency of A Dynamic Decentralized Two-Sided Matching Market
2:45 pm
Hongyao Ma, Harvard University
Fei Fang, Carnegie Mellon University
David Parkes, Harvard University
Spatio-Temporal Pricing for Ridesharing Platforms
3:30 pm
Break
4:00 pm
Mohammad Akbarpour, Stanford University
Farshad Fatemi, Sharif University of Technology
Negar Matoorian, Stanford University
A Monetary Market for Kidneys
4:45 pm
Alvin E. Roth, Stanford University and NBER
Recent Developments in Kidney Exchange: Market Design in a Large World
5:30 pm
Adjourn
6:30 pm
Dinner
Joya Restaurant
339 University Avenue
Palo Alto, CA
Saturday, October 20
8:30 am
Continental Breakfast
9:00 am
Atila Abdulkadiroglu, Duke University and NBER
Joshua Angrist, Massachusetts Institute of Technology and NBER
Yusuke Narita, Yale University
Parag A. Pathak, Massachusetts Institute of Technology and NBER
Impact Evaluation in Matching Markets with General Tie-Breaking
9:45 am
Yuichiro Kamada, Harvard University
Fuhito Kojima, Stanford University
Fair Matching under Constraints: Theory and Applications (slides)
10:30 am
Break
11:00 am
Tamas Fleiner, Budapest University of Technology and Economics
Ravi Jagadeesan, Harvard University
Zsuzsanna Jankó, Corvinus University
Alexander Teytelboym, University of Oxford
Trading Networks with Frictions
11:45 am
Piotr Dworczak, Northwestern University
Scott Duke Kominers, Harvard University
Mohammad Akbarpour, Stanford University
Redistribution through Markets
12:30 pm
Adjourn  


Participant List
Atila Abdulkadiroglu Duke University and NBER
Nikhil Agarwal Massachusetts Institute of Technology and NBER
Mohammad Akbarpour Stanford University
Nick Arnosti Columbia University
Susan Athey Stanford University and NBER
Lawrence Ausubel University of Maryland
Moshe Babaioff Microsoft Research
Aaron L. Bodoh-Creed University of California at Berkeley
Eric Budish University of Chicago and NBER
Jeremy I. Bulow Stanford University and NBER
Gabriel Carroll Stanford University
Yeon-Koo Che Columbia University
Laura Doval California Institute of Technology
Jeremy T. Fox Rice University and NBER
Guillaume Haeringer Baruch College
Jonathan Hall Uber Technologies
John W. Hatfield University of Texas, Austin
Yinghua He Rice University
Ravi Jagadeesan Harvard University
Yuichiro Kamada Harvard University
Yash Kanoria Columbia University
Adam Kapor Princeton University and NBER
Jakub Kastl Princeton University and NBER
Onur Kesten Carnegie Mellon University
Fuhito Kojima Stanford University
Scott Duke Kominers Harvard University
Nicolas S. Lambert Stanford University
Shengwu Li Harvard University
Shuya Li Carnegie Mellon University
Hongyao Ma Harvard University
Mohammad Mahdian Google Research
Negar Matoorian Stanford University
Stephen Morris Princeton University
Yusuke Narita Yale University
Hamid Nazerzadeh University of Southern California
Afshin Nikzad Stanford University
Michael Ostrovsky Stanford University and NBER
Selcuk Ozyurt Sabanci University
Utkarsh Patange Columbia University
Parag A. Pathak Massachusetts Institute of Technology and NBER
Ali O. Polat Carnegie Mellon University
Daniel Quint University of Wisconsin
David H. Reiley Jr. Pandora Media, Inc
Alvin E. Roth Stanford University and NBER
Daniela Saban Stanford University
Michael Schwarz Microsoft
Ilya Segal Stanford University
Sven Seuken University of Zurich
Kane Sweeney eBay Research Labs
Steven Tadelis University of California at Berkeley and NBER
Olivier Tercieux Paris School of Economics
Zhixi Wan Didi Chuxing Technology Co.
Robert Wilson Stanford University
Xingye Wu Tsinghua University
Chenyu Yang University of Rochester
Haoxiang Zhu Massachusetts Institute of Technology and NBER

Sunday, May 17, 2020

Cascades of convalescent plasma for Covid-19, and chains of exchanges, by Kominers, Pathak, Sönmez, and Ünver

Covid-19 convalescent plasma is a new thing in the world, that came into existence only when the first human was infected and recovered from the Covid-19 disease that is now pandemic. It isn't clear yet whether it will be clinically valuable, but recovered antibodies have been valuable for some other diseases, so there's excellent reason to hope that will be the case now too.  And as the number of people grows who have recovered from Covid-19, it is likely that the supply of antibodies is growing much faster, since antibody-containing plasma can be donated once a month or so. (There are  ongoing studies of antibody production by recovered patients, examining how long the antibodies remain at high levels, post-recovery). Of course, most of that supply is sequestered in the blood of recovered patients, so there's a non-trivial issue of collection and distribution.

As readers of this blog know, many countries prohibit the sale of plasma. Will Americans continue to support a commercial market for Covid-19 convalescent plasma in the current pandemic?  A distinguished group of market designers has written a paper considering how to apply techniques developed for kidney exchange to the task of collecting convalescent plasma from recovered Covid-19 patients, if it becomes impossible to buy and sell it. In particular, they consider how to create chains of donations, without using money, to overcome the shortages they anticipate.

Here's an easy to read account by Scott Kominers, one of the authors.

Scott Duke Kominers, Bloomberg News  May 11, 2020

"convalescent plasma is in short supply: although it’s hard to estimate precisely, some statistics suggest the U.S. may need twice as much as we have on hand.

"In a new paper, Parag A. Pathak, Tayfun Sonmez, M. Utku Unver and I propose a market design strategy that could help close the gap. Our approach makes use of two special features of the way plasma donation works.

"First, convalescent plasma is collected from recently recovered patients, which means that today’s patients become tomorrow’s prospective donors, assuming they manage to beat the virus. ... That suggests the shortage isn’t from lack of potential supply.

"Second, plasma donation is more than one-for-one: the typical donor can give enough plasma at one time for multiple treatments, and they can potentially donate more than once. As a result, assuming plasma therapy does help patients recover, there is a so-called flywheel effect: the more we use the treatment, the more plasma is available -- provided enough recovered patients are willing to donate.

"Many people would like to donate plasma to help a loved one, but can’t for various reasons:  Their blood types might be incompatible or they might live far away and be unable to travel. To address these sorts of obstacles, my collaborators and I suggest that each plasma donor could receive a voucher that can be used to give a family member or friend priority for plasma treatment. Because donation is more than one-for-one, it’s possible to honor vouchers while still increasing the pool of plasma available to treat other patients.
...
"A similar analysis suggests a role for a pay-it-forward system, where we make a point of treating patients who pledge to donate plasma, assuming they recover and are medically able to do so. Because recovered patients can typically donate more plasma than was needed for their own treatment, this again can help increase the plasma supply in the long run. As a result, my collaborators and I show that, somewhat paradoxically, prioritizing patients who pledge to donate can still end up expanding treatment for the patients who are unable to pledge, or just choose not to.

"Both of these policies are similar to systems we’ve used to expand kidney donation in the U.S.: Priority vouchers are sometimes granted when a living donor gives a kidney to a third-party before one of their family members needs a transplant. And pay-it-forward incentives are used in kidney exchange chains, where a patient with a medically incompatible prospective donor receives a kidney from a third-party donor, and then their donor later gives a kidney to some other patient."
******
Here is the paper itself:

Paying It Backward and Forward: Expanding Access to Convalescent Plasma Therapy Through Market Design
Scott Duke Kominers, Parag A. Pathak, Tayfun Sönmez, M. Utku Ünver
NBER Working Paper No. 27143
Issued in May 2020

Abstract: COVID-19 convalescent plasma (CCP) therapy is currently a leading treatment for COVID19. At present, there is a shortage of CCP relative to demand. We develop and analyze a model of centralized CCP allocation that incorporates both donation and distribution. In order to increase CCP supply, we introduce a mechanism that utilizes two incentive schemes, respectively based on principles of “paying it backward” and “paying it forward.” Under the first scheme, CCP donors obtain treatment vouchers that can be transferred to patients of their choosing. Under the latter scheme, patients obtain priority for CCP therapy in exchange for a future pledge to donate CCP if possible. We show that in steady-state, both principles generally increase overall treatment rates for all patients—not just those who are voucher-prioritized or pledged to donate. Our results also hold under certain conditions if a fraction of CCP is reserved for patients who participate in clinical trials. Finally, we examine the implications of pooling blood types on the efficiency and equity of CCP distribution.

Here's some of the motivation for their model:
"There is an active debate in economics and philosophy on the appropriate role of market-based
mechanisms with compensation for human products used in medicine or medical research like kidneys, blood, blood products, sperm, breast milk, bone marrow, and other.11 Since, as far as we know, there is no current market where infected patients can buy CCP or where recovered patients can sell CCP, we do not consider this possibility as part of our model.
...
"Because CCP is a form of plasma, a natural question is whether a compensated market for CCP will develop. In our model, there is no option to pay to receive CCP or be paid for donating CCP, but a donor can designate the voucher in our model to particular patient in need. As a result, our model of CCP falls between the two extremes described above. We expect that in a crisis moment, there is unlikely to be an active compensated market for CCP (even though it may be impossible to fully prohibit resale of vouchers). If a price-based market does develop, society may deem it unacceptable."
***************

I am more optimistic than they are about the likely available supply of convalescent plasma if it proves useful, through existing commercial channels. My optimism is based on the large thriving commercial market for plasma and plasma-derived antibodies in the U.S., and around the world.  I'll try to blog about the general plasma and antibody (immunoglobulin) market tomorrow, and perhaps more on Covid-19 antibodies later this week.

Tuesday, February 22, 2011

NYC school choice--cost overruns

David Chen in the NY Times has an article on cost overruns for the new school choice system which includes the high school choice system that Atila Abdulkadiroglu, Parag Pathak, and I helped design. (This is a good place to point out that we did our work pro bono--we didn't charge a penny. What we did get was the relevant choice data and the freedom to use it when we published papers based on our work.) More on our collaboration with NYC Dept of Ed, and our interaction with one of their software vendors, after the Times story, at which point I'll also draw some lessons about software vendors for school districts interested in designing better school choice systems. The article makes clear that the new high school choice system in NYC is viewed as a great success, but that the city had big problems with its software contractors.

Cost Overruns Found in Technology for Placement of High School Students

"For the last several years, the city’s Department of Education has boasted about its record of placing students in the high schools of their choice, thanks to a new computerized process. But if the ends were successful, the means were anything but, according to the city comptroller.

"In an audit released Thursday, the comptroller, John C. Liu, criticized the department’s handling of the finances of the computer system, which is modeled after a system that matches medical school graduates with residency programs.

"Instead of adhering to its original contract of $3.6 million for the system’s development, the audit found, the department spent $13.5 million. Then the original project was deemed insufficient and it had to be scrapped and the city had to spend an additional $9.4 million — and counting — for a new system.

"The gulf of more than $19 million between expected and projected costs reflected “poor planning” and raised concerns, the comptroller’s office said, about “similar cost overruns” for all technology projects.

"The city’s original contract was with Spherion, a company whose reputation was sullied in December when several of its consultants were indicted by federal prosecutors. The consultants were accused of concocting an $80 million corruption scheme related to another technological initiative, an automated payroll system called CityTime. The city hired a new vendor for the Education Department in 2008.

"In a letter to Cathleen P. Black, the schools chancellor, H. Tina Kim, the city’s deputy comptroller for audits, wrote, “Clearly, savings could have been achieved with better planning and coordination.”
...
"In response to the audit, city officials said that fast-moving changes in facets of education had necessitated upgrades — at additional costs — to the computer system. The program had to accommodate middle-school choices, prekindergarten admissions and programs for gifted elementary-school children.

"Jack Zarin-Rosenfeld, a spokesman for the Education Department, said: “Before this administration, we had a high school admissions system that was rife with political patronage and too often gamed by the well-connected, leaving students with the most need behind. Thanks to our policy changes and investments, we have greatly expanded equity and choice for all of our families, and provided more high-quality opportunities on a scale larger than any other city in the country.

"With the advent of mayoral control of the schools shortly after Mr. Bloomberg took office in 2002, the Education Department overhauled the nerve-wracking and lotterylike process by which students were admitted to high schools. In the past, students could select only five schools, but some students were admitted to more than one, leaving the city’s best students to mull over their options after applying. But under the new High School Application Processing System, students are allowed to list 12 choices, and are matched to just one school.

"For the 2010-11 school year, 52 percent of the roughly 80,000 high-school-bound students who applied were matched to their first choices; in 2004, by contrast, that figure was 33.6 percent.

"In 2005, Joel I. Klein, then the schools chancellor, praised the new system, saying “this process, frankly, was a long time quite broken.”

"The original contract was amended eight times between 2003 and 2008, adding almost $10 million in costs, chiefly to adjust to changes in school policies. And those amendments, according to Ms. Kim’s letter, “reflect poor planning” and “appear to be an admission that the changes that occurred in D.O.E. were not expected or considered” in developing the new system.

"By 2008, the city had concluded that it needed a new vendor to develop a new and more flexible technology system, and hired Vanguard Direct Inc., under a contract expiring in 2013. "

*********************************************

The story reminds me of how in 2003, when I was first contacted by Jeremy Lack at the New York City Department of Education and asked to design a choice process, the city had already contracted with Spherion to be its software provider. It quickly became apparent that Spherion's core competence was getting contracts with the city. There were a number of indications that they were going to be difficult to work with. Two incidents stand out in my memory.

First, Spherion had prepared a plan that called for programming lots of modules to knit together different aspects of school choice. I recall a conference call in which several Spherion people participated together with Jeremy Lack, me and Parag Pathak, in which Parag and I pointed out that the (deferred acceptance algorithm) architecture we proposed would require vastly less programming to accomplish than the original contract allowed for. One of the Spherion people pointed out that, in that case, a contract modification would have to be negotiated, at additional cost to the city.

Second, the way the project progressed is that, as we agreed on particular design elements, Parag and Atila would each program a version (in Matlab and Perl, respectively) that they would check against each other by running test problems, and the algorithm would be passed on to Spherion. At one point we asked Spherion how they were planning to check that their programming was accurate, and they replied that checking the software wasn't called for in the contract (and, besides, they explained, there was a logical inconsistency in the notion that you could check the accuracy of software, since you would have to design software to do that, and that software would have to be checked...). So Parag and Atila did the software checking too.

Of course we programmed only the fun stuff, the choice algorithm, and a delivered system has to have lots of data entry and processing software, so that preference lists can be entered by middle school guidance counselors, etc. Still, I'm staggered by the cost figures reported by the Times. It's hard to imagine that a gold plated system, with 100% profit margins for the contractors, couldn't have come in at 10% of the reported cost.

Part of the problem, I suspect, is that the contract with Spherion didn't give the software to NYC, but left it with Spherion which was supposed to run the match, which I think increased charges each year. When we subsequently helped Boston redesign its school choice algorithm (with Tayfun Sonmez now also playing a critical role on the team), we worked in a similar way, but Boston ended up owning the software and running the match itself. This is a better financial/ownership model.

Neil Dorosin, the NYC DOE official who had the hands-on responsibility for implementing the new high school match, subsequently left the DOE to form a non profit institute to help school districts implement choice plans, the Institute for Innovation in Public School Choice (IIPSC). Atila, Parag and I are on his Board. Building on his considerable NYC experience, Neil probably now knows as much as anyone about the details of building a school choice system, and how the parts fit together, based on his experience not only in NY but in school districts around the country with whom he's been in contact.


Here's a paper in which the NYC high school choice system is described in detail, along with some details of its performance:
Abdulkadiroglu, Atila , Parag A. Pathak, and Alvin E. Roth, "Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match,'' American Economic Review, 99, 5, Dec. 2009, pp1954-1978. And here are the AER links at which you can access the Appendix and Download the Data Software

Friday, May 7, 2010

School choice in NYC, a problem facing large school systems

The most demanded schools are very hard to get into, even for very well qualified students, some of whom can have trouble matching: For Many, High School Match Game Continues.

"Although most of the city's 86,000 eighth graders were matched with a high school this year, every year thousands of students don't get in anywhere and it doesn't matter whether they have good grades, test scores and attendance records. They have to apply all over again, with a much more limited list of schools to choose from."

The full process in NYC, in which in the initial round students can list no more than 12 programs to apply to, is described in this paper: Abdulkadiroglu, Atila, Parag A. Pathak, and Alvin E. Roth, "Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match,'' American Economic Review, 99, 5, Dec. 2009, pp1954-1978.

And the following paper uses the fact that the proportion of unmatched students doesn't go to zero as the school system gets large, so in a very large school system like NYC, the number of initially unmatched students won't be tiny. (That doesn't mean that allowing longer lists wouldn't help.)

Kojima, Fuhito, Parag A. Pathak, and Alvin E. Roth, " Matching with Couples: Stability and Incentives in Large Markets," working paper, April 28, 2010.

Wednesday, September 12, 2012

NBER market design conference Oct 19-20, 2012: preliminary program


NATIONAL BUREAU OF ECONOMIC RESEARCH, INC.

Market Design Working Group Meeting

Susan Athey and Parag Pathak, Organizers

October 19-20, 2012

NBER
2nd Floor Conference Room
1050 Massachusetts Avenue
Cambridge, MA

PROGRAM

Friday, October 19:

8:30 am
Continental Breakfast

9:00 am


Mechanism Design and Congestion

William Fuchs, University of California at Berkeley
Andrzej Skrzypacz, Stanford University
Costs and Benefits of Dynamic Trading in a Lemons Market

Jacob Leshno, Columbia University
Dynamic Matching in Overloaded Systems

10:20 am
Break

10:35 am

Auctions

Kenneth Hendricks, University of Wisconsin and NBER
Daniel Quint, University of Wisconsin
Indicative Bids as Cheap Talk

Sergiu Hart, Hebrew University
Noam Nisan, Hebrew University
The Menu-Size Complexity of Auctions


Yeon-Koo Che, Columbia University
Jinwoo Kim, Yonsei University
Fuhito Kojima, Stanford University
Efficient Assignment with Interdependent Values

12:35 pm

Lunch

1:15 pm
Organ Exchange

Itai Ashlagi, MIT
Alvin Roth, Stanford University and NBER
Kidney Exchange in Time and Space



Tayfun Sonmez, Boston College
M. Utku Unver, Boston College
Welfare Consequences of Transplant Organ Allocation Policies

2:40 pm
Break

3:00 pm
FCC Incentive AuctionLawrence Ausubel, University of Maryland
Paul Milgrom, Stanford University
Ilya Segal, Stanford University
The 'Incentive Auctions' and Mechanism Design

Peter Cramton, University of Maryland
Title to be announced

5:15 pm
Adjourn


Saturday, October 20:

8:30 am
Continental Breakfast

9:00 am

Empirical Market Design

Aditya Bhave, University of Chicago
Eric Budish, University of Chicago
Primary-Market Auctions for Event Tickets: Eliminating the Rents of "Bob the Broker"

Atila Abdulkadiroglu, Duke University
Nikhil Agarwal, Harvard University
Parag Pathak, MIT and NBER
Centralized vs. Decentralized School Assignment: Evidence from NY

10:20 am
Break

10:40 am

Matching Markets

Qingmin Liu, Columbia University
Marek Pycia, University of California at Los Angeles
Ordinal Efficiency, Fairness and Incentives in Large Markets

Scott Duke Kominers, University of Chicago
Tayfun Sonmez, Boston College
Designing for Diversity in Matching

12:00 pm
Lunch

1:00 pm

New Frontiers

Elisa Celis, University of Washington
Gregory Lewis, Harvard University and NBER
Markus Mobius, Iowa State University and NBER
Hamid Nazerzadeh, University of Southern California
Buy-it-Now or Take-a-Chance: Price Discrimination through Randomized Auctions

Michael Kearns, University of Pennsylvania
Mallesh Pai, University of Pennsylvania
Aaron Roth, University of Pennsylvania
Jonathan Ullman, Harvard University
Mechanism Design in Large Games: Incentives and Privacy

David Rothschild, Microsoft Research
David Pennock, Microsoft Research
The Extent of Price Misalignment in Prediction Markets

3:00 pm
Adjourn


Saturday, October 21, 2017

Information, school quality and school choice

Here's a recent article by Gail Cornwall in The Atlantic, summarizing some of the work on school choice which points out that it is easier for parents to judge the test scores of graduates than the value-added by the school.

Why Parents Make Flawed Choices About Their Kids' Schooling
A new study shows that families act on insufficient information when it comes to figuring out where to enroll their children.

It covers (among other things) work by Atila Abdulkadiroglu and Parag Pathak and various colleagues, including the recent NBER working paper

Do Parents Value School Effectiveness?

Atila AbdulkadirogluParag A. PathakJonathan SchellenbergChristopher R. Walters

NBER Working Paper No. 23912
Issued in October 2017
NBER Program(s):   ED   LS 
School choice may lead to improvements in school productivity if parents' choices reward effective schools and punish ineffective ones. This mechanism requires parents to choose schools based on causal effectiveness rather than peer characteristics. We study relationships among parent preferences, peer quality, and causal effects on outcomes for applicants to New York City's centralized high school assignment mechanism. We use applicants' rank-ordered choice lists to measure preferences and to construct selection-corrected estimates of treatment effects on test scores and high school graduation. We also estimate impacts on college attendance and college quality. Parents prefer schools that enroll high-achieving peers, and these schools generate larger improvements in short- and long-run student outcomes. We find no relationship between preferences and school effectiveness after controlling for peer quality.

Thursday, October 19, 2017

NBER Market Design Working Group Meeting tomorrow and Saturday

The market design meeting starting tomorrow in Boston includes two "New Directions" sessions, one on Transportation and Market Design and one on Development Economics and Market Design.

Here's the program: Market Design Working Group Meeting
Michael Ostrovsky and Parag A. Pathak, Organizers
October 20-21, 2017

NBER
Feldstein Conference Room, 2nd Floor
1050 Massachusetts Avenue
Cambridge, MA
Friday, October 20

9:00 am
Haluk Ergin, University of California at Berkeley
Tayfun Sönmez, Boston College
Utku Unver, Boston College
Efficient and Incentive Compatible Liver Exchange
9:45 am
Nikhil Agarwal, Massachusetts Institute of Technology and NBER
Itai Ashlagi, Stanford University
Michael A. Rees, University of Toledo Medical Center
Paulo J. Somaini, Stanford University and NBER
Daniel C. Waldinger, Massachusetts Institute of Technology
An Empirical Framework for Sequential Assignments: The Allocation of Deceased Donor Kidneys
10:30 am
Break
11:00 am
Eric Budish, University of Chicago and NBER
Robin S. Lee, Harvard University and NBER
Will the Market Fix the Market? A Theory of Stock Market Competition and Innovation
11:45 am
Albert "Pete" Kyle, University of Maryland
Jeongmin Lee, Washington University in St. Louis
Toward a Fully Continuous Exchange
12:30 pm
Lunch
2:00 pm
Paul Milgrom, Stanford University
Ilya Segal, Stanford University
Deferred-Acceptance Clock Auctions and Radio Spectrum Reallocation
2:45 pm
Lawrence Ausubel, University of Maryland
Christina Aperjis, Power Auctions LLC
Oleg V. Baranov, University of Colorado Boulder
Market Design and the FCC Incentive Auction
3:30 pm
Ulrich Doraszelski, University of Pennsylvania and NBER
Katja Seim, University of Pennsylvania and NBER
Michael Sinkinson, Yale University and NBER
Peichun Wang, University of Pennsylvania
Ownership Concentration and Strategic Supply Reduction
4:15 pm
Break
New Directions: Transportation and Market Design
4:30 pm
Michael Ostrovsky, Stanford University and NBER
Michael Schwarz, Google Research
To Be Announced
5:00 pm
Peter Cramton, University of Maryland
Richard Geddes, Cornell University
Axel Ockenfels, University of Cologne
Markets for Road Use: Eliminating Congestion through Scheduling, Routing, and Real-Time Road Pricing
5:30 pm
Juan Camilo Castillo, Stanford University
Dan Knoepfle, Uber Technologies
Glen Weyl, Microsoft Research
Surge Pricing Solves the Wild Goose Chase (slides)
6:00 pm
Adjourn

Saturday, October 21
8:15 am
Coach Bus leaves Royal Sonesta Hotel for NBER
8:30 am
Continental Breakfast
9:00 am
Parag A. Pathak, Massachusetts Institute of Technology and NBER
Peng Shi, Massachusetts Institute of Technology
How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice
9:45 am
Georgy Artemov, University of Melbourne
Yeon-Koo Che, Columbia University
Yinghua He, Rice University
Strategic `Mistakes': Implications for Market Design Research
10:30 am
Break
11:00 am
Jacob D. Leshno, Columbia University
Irene Y. Lo, Columbia University
The Cutoff Structure of Top Trading Cycles in School Choice
11:45 am
Esen Onur, CFTC
David Reiffen, CFTC
Lynn Riggs, CFTC
Haoxiang Zhu, Massachusetts Institute of Technology and NBER
Mechanism Selection and Trade Formation on Swap Execution Facilities: Evidence from Index CDS
12:30 pm
Lunch
2:00 pm
Constantinos Daskalakis, Massachusetts Institute of Technology
Christos H. Papadimitriou, University of California at Berkeley
Christos Tzamos, Microsoft Research
Does Information Revelation Improve Revenue?
2:45 pm
Dirk Bergemann, Yale University
Tibor Heumann, HEC - Montreal
Stephen Morris, Princeton University
Information and Market Power
3:30 pm
Break
New Directions: Development Economics and Market Design
4:00 pm
Jean-François Houde, Cornell University and NBER
Terence R. Johnson, University of Notre Dame
Molly Lipscomb, University of Virginia
Laura A. Schechter, University of Wisconsin, Madison
Using Market Mechanisms to Increase the Take-up of Improved Sanitation in Senegal
4:30 pm
Reshmaan N. Hussam, Yale University
Natalia Rigol, Massachusetts Institute of Technology
Benjamin N. Roth, Massachusetts Institute of Technology
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
5:00 pm
Yusuke Narita, Yale University
Experimental Design as Market Design: Billions of Dollars Worth of Treatment Assignments
5:30 pm
Adjourn