Peng Shi

University of Southern California - Marshall School of Business

Assistant Professor

701 Exposition Blvd

Los Angeles, CA 90089

United States

  • University of Southern California - Marshall School of Business

SCHOLARLY PAPERS

7

DOWNLOADS
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Top 35,920

in Total Papers Downloads

1,288

SSRN CITATIONS

4

CROSSREF CITATIONS

4

Scholarly Papers (7)

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1.

Design of Lotteries and Waitlists for Affordable Housing Allocation

Columbia Business School Research Paper No. 17-52
Number of pages: 58 Posted: 04 May 2017 Last Revised: 10 Jun 2019
Nick Arnosti and Peng Shi
Columbia Business School - Decisions, Risk, and Operations Division and University of Southern California - Marshall School of Business
Downloads 578 (48,088)
Citation 1

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2.

Optimal Allocation without Money: An Engineering Approach

Number of pages: 37 Posted: 27 Apr 2014 Last Revised: 31 Oct 2014
Itai Ashlagi and Peng Shi
Stanford University - Management Science & Engineering and University of Southern California - Marshall School of Business
Downloads 334 (93,157)
Citation 4

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market design, priors, assignment, school choice, computation, large market

3.

Clearing Matching Markets Efficiently: Informative Signals and Match Recommendations

Number of pages: 58 Posted: 10 May 2017 Last Revised: 21 Nov 2019
Itai Ashlagi, Mark Braverman, Yash Kanoria and Peng Shi
Stanford University - Management Science & Engineering, Princeton University, Columbia Business School - Decision Risk and Operations and University of Southern California - Marshall School of Business
Downloads 234 (135,762)
Citation 1

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marketplace and platform design, communication complexity, stable matching, match recommendations, informative signaling

4.

Optimal Priority-Based Allocation Mechanisms

Number of pages: 75 Posted: 25 Jul 2019 Last Revised: 11 Aug 2019
Peng Shi
University of Southern California - Marshall School of Business
Downloads 86 (302,780)

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market design, one-sided matching, assortment planning, school choice

5.

How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice

Downloads 39 (412,925)
Citation 1

How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice

Journal of Econometrics, Forthcoming
Number of pages: 77 Posted: 15 Apr 2019
Parag A. Pathak and Peng Shi
Massachusetts Institute of Technology (MIT) - Department of Economics and University of Southern California - Marshall School of Business
Downloads 39 (453,873)

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discrete choice models, counterfactual predictions, simulation, out-of-sample validation, school choice

6.

Demand Modeling, Forecasting, and Counterfactuals, Part I

NBER Working Paper No. w19859
Number of pages: 47 Posted: 29 Jan 2014
Parag A. Pathak and Peng Shi
Massachusetts Institute of Technology (MIT) - Department of Economics and University of Southern California - Marshall School of Business
Downloads 12 (591,136)

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7.

Efficient Matchmaking in Assignment Games with Application to Online Platforms

Number of pages: 40
Peng Shi
University of Southern California - Marshall School of Business
Downloads 5

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market design, online platforms, two-sided matching, communication complexity