Shunyuan Zhang

Carnegie Mellon University - David A. Tepper School of Business

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

SCHOLARLY PAPERS

3

DOWNLOADS
Rank 12,734

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Top 12,734

in Total Papers Downloads

3,928

SSRN CITATIONS

5

CROSSREF CITATIONS

3

Scholarly Papers (3)

1.

How Much Is an Image Worth? Airbnb Property Demand Estimation Leveraging Large Scale Image Analytics

Number of pages: 32 Posted: 31 May 2017 Last Revised: 17 Jun 2018
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 2,929 (4,080)
Citation 7

Abstract:

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sharing economy, Airbnb, economic impact of images, photography, computer vision, deep learning, image quality classification, image feature extraction, treatment effect, image attribute analysis

2.

A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

Number of pages: 40 Posted: 21 Apr 2016 Last Revised: 20 Sep 2017
Shunyuan Zhang, Param Vir Singh and Anindya Ghose
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and New York University (NYU) - Leonard N. Stern School of Business
Downloads 549 (51,995)

Abstract:

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Crowdsourcing Contests, Superstar Effect, Bayesian Learning, Utility, Economics of Information System, Dynamic Structural Model, Dynamic Programming, Monte Carlo Markov Chain

3.

Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

Number of pages: 31 Posted: 23 Feb 2018
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 450 (66,789)
Citation 3

Abstract:

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sharing economy, Airbnb, Uber, Lyft, sharing effects, natural experiment, geographic demand dispersion, transportation cost