Jingwen Zhang

University of Washington

Box 353200

Seattle, WA 98195-3200

United States

SCHOLARLY PAPERS

4

DOWNLOADS

1,043

TOTAL CITATIONS

1

Scholarly Papers (4)

1.

Debiasing ML-or AI-Generated Regressors in Partial Linear Models

Number of pages: 52 Posted: 30 Nov 2023 Last Revised: 29 Jul 2024
Jingwen Zhang, Wendao Xue, Yifan Yu and Yong Tan
University of Washington, University of Texas at Austin - Department of Information, Risk and Operations Management, The University of Texas at Austin and University of Washington - Michael G. Foster School of Business
Downloads 454 (132,023)
Citation 1

Abstract:

Loading...

causal inference, double machine learning, AI, measurement error, partial linear

2.

The Effects of the FTC Policy and Affiliation Disclosures on Product Review Video Engagement: Evidence from YouTube

Number of pages: 46 Posted: 14 Mar 2023 Last Revised: 24 Jan 2024
Jingwen Zhang, Stephanie Lee and Yong Tan
University of Washington, University of Washington - Michael G. Foster School of Business and University of Washington - Michael G. Foster School of Business
Downloads 285 (220,432)

Abstract:

Loading...

product review video, affiliate marketing, information disclosure

3.

Causal Bandits: Online Decision-Making in Endogenous Settings

Number of pages: 52 Posted: 22 Nov 2022 Last Revised: 10 May 2024
Jingwen Zhang, Yifang Chen and Amandeep Singh
University of Washington, University of Washington - Paul G. Allen School of Computer Science & Engineering and University of Washington - Michael G. Foster School of Business
Downloads 177 (348,237)

Abstract:

Loading...

Multi-Armed Bandits, Causal Inference, Online Learning, Instrumental Variables

4.

Timing the Provision of Product Information in Reward-Based Crowdfunding

Number of pages: 34 Posted: 31 Dec 2019
Yinbo Feng and Jingwen Zhang
Shanghai University of Finance and Economics - School of Information Management and Engineering and University of Washington
Downloads 127 (460,539)

Abstract:

Loading...

Optimal Stopping Time, Information Disclosure, Crowdfunding, Customer Heterogeneity