Yu-Wei Hsieh

University of Southern California - Department of Economics

Assistant Professor

3620 South Vermont Ave. Kaprielian (KAP) Hall, 300

Los Angeles, CA 90089

United States

USC Dornsife Institute for New Economic Thinking

3620 S. Vermont Avenue, KAP 364F

Los Angeles, CA 90089-0253

United States

SCHOLARLY PAPERS

8

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1,495

SSRN CITATIONS
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SSRN RANKINGS

Top 27,011

in Total Papers Citations

9

CROSSREF CITATIONS

18

Scholarly Papers (8)

1.
Downloads 496 ( 59,049)
Citation 3

Aggregate Stable Matching with Money Burning

Number of pages: 40 Posted: 20 Dec 2016 Last Revised: 13 Jun 2019
Alfred Galichon and Yu-Wei Hsieh
NYU, Department of Economics and Courant Institute and University of Southern California - Department of Economics
Downloads 396 (76,787)
Citation 2

Abstract:

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two-sided matching; non-transferable utility matching; rationing by waiting; non-price rationing; aggregate matching; matching function; disequilibrium; discrete choice; optimal transport

A Theory of Decentralized Matching Markets without Transfers, with an Application to Surge Pricing

USC-INET Research Paper No. 17-03
Number of pages: 38 Posted: 31 Jan 2017
Alfred Galichon and Yu-Wei Hsieh
NYU, Department of Economics and Courant Institute and University of Southern California - Department of Economics
Downloads 100 (279,660)
Citation 2

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Two-sided matching, non-transferable utility matching, rationing by waiting, non-price rationing, disequilibrium, surge pricing, discrete choice

Inference on Estimators Defined by Mathematical Programming

Number of pages: 27 Posted: 22 Sep 2017 Last Revised: 23 Oct 2018
Yu-Wei Hsieh, Xiaoxia Shi and Matthew Shum
University of Southern California - Department of Economics, University of Wisconsin - Madison and California Institute of Technology
Downloads 238 (134,472)
Citation 2

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Stochastic Mathematical Programming, Linear Complementarity Constraints, Moment Inequality, Primal-Dual Methods, Sub-Vector Inference, Portfolio Selection

Inference of Estimators Defined by Mathematical Programming

USC-INET Research Paper No. 17-28
Number of pages: 20 Posted: 27 Sep 2017
Yu-Wei Hsieh, Xiaoxia Shi and Matthew Shum
University of Southern California - Department of Economics, University of Wisconsin - Madison and California Institute of Technology
Downloads 22 (551,475)
Citation 3

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Stochastic Mathematical Programming, Linear Complementarity Constraints, Moment Inequality, Duality, Sub-Vector Inference, Portfolio Selection

3.

Computing Moment Inequality Models Using Constrained Optimization

USC-INET Research Paper No. 17-21
Number of pages: 22 Posted: 21 Jun 2017 Last Revised: 01 Aug 2017
Baiyu Dong, Yu-Wei Hsieh and Matthew Shum
University of Southern California - Department of Economics, University of Southern California - Department of Economics and California Institute of Technology
Downloads 202 (157,808)
Citation 2

Abstract:

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Moment Inequality Models, Constrained Optimization, MPEC, MPCC, Partial Identification, Computing Identified Set, Confidence Set

Counterfactual Estimation in Semiparametric Discrete-Choice Models

Number of pages: 19 Posted: 04 Jun 2017 Last Revised: 08 Jun 2017
Khai Chiong, Yu-Wei Hsieh and Matthew Shum
University of Texas at Dallas - Naveen Jindal School of Management, University of Southern California - Department of Economics and California Institute of Technology
Downloads 163 (191,234)
Citation 5

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Semiparametric Discrete-Choice Models; Counterfactuals; Convex Analysis; Cyclic Monotonicity; Linear Programming

Counterfactual Evaluation in Semiparametric Multinomial Choice Models

USC-INET Research Paper No. 17-20
Number of pages: 19 Posted: 26 Jul 2017
Khai Chiong, Yu-Wei Hsieh and Matthew Shum
University of Texas at Dallas - Naveen Jindal School of Management, University of Southern California - Department of Economics and California Institute of Technology
Downloads 15 (599,211)
Citation 1

Abstract:

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Semiparametric Multinomial Choice Models; Counterfactual prediction; Convex Analysis, Cyclic Monotonicity; Linear Programming

5.

Implementing Maximum Likelihood Estimation of Empirical Matching Models: MPEC versus NFXP

USC-INET Research Paper No. 17-16
Number of pages: 33 Posted: 27 Apr 2017 Last Revised: 19 Jan 2020
Baiyu Dong, Yu-Wei Hsieh and Xing Zhang
University of Southern California - Department of Economics, University of Southern California - Department of Economics and University of Southern California
Downloads 145 (210,884)
Citation 2

Abstract:

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Aggregate Matching; Two-Sided Matching; MPEC; Nested Fixed-Point Algorithm; Constrained Optimization

Data-Cloning SMC 2 for Applications to Latent Variable Models

Number of pages: 25 Posted: 23 Jun 2017 Last Revised: 14 Oct 2018
Jin-Chuan Duan, Andras Fulop and Yu-Wei Hsieh
National University of Singapore (NUS) - Business School and Risk Management Institute, ESSEC Business School and University of Southern California - Department of Economics
Downloads 99 (281,524)

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Sequential Monte Carlo, Data Clone, Latent Variable, Maximum Likelihood, Monte Carlo Optimization

Maximum Likelihood Estimation of Latent Variable Models by SMC with Marginalization and Data Cloning

USC-INET Research Paper No. 17-27
Number of pages: 24 Posted: 27 Sep 2017
Jin-Chuan Duan, Andras Fulop and Yu-Wei Hsieh
National University of Singapore (NUS) - Business School and Risk Management Institute, ESSEC Business School and University of Southern California - Department of Economics
Downloads 22 (558,140)

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Sequential Monte Carlo, Data Clone, Latent Variable, Maximum Likelihood, Monte Carlo Optimization

7.

To Score or Not to Score? Estimates of a Sponsored Search Auction Model

USC-INET Research Paper No. 15-09, Marshall School of Business Working Paper No. FBE 04.16
Number of pages: 27 Posted: 18 Feb 2015 Last Revised: 25 Jul 2018
Yu-Wei Hsieh, Matthew Shum and Sha Yang
University of Southern California - Department of Economics, California Institute of Technology and University of Southern California - Marshall School of Business
Downloads 93 (291,156)
Citation 2

Abstract:

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Sponsored-search advertising, Auctions, Market design, Two-sided Matching, Bayesian estimation

8.

Prediction and Congestion in Two-Sided Markets: Economist versus Machine Matchmakers

Posted: 31 Jan 2019 Last Revised: 08 Apr 2019
Kuan-Ming Chen, Yu-Wei Hsieh and Ming-Jen Lin
University of Chicago - Department of Economics, University of Southern California - Department of Economics and National Taiwan University - Department of Economics

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Online Dating, Two-Sided Matching, Recommender Systems, Matrix Factorization, Machine Learning, Reciprocal Recommender, Collaborative Filtering