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Estimating Parameters of Structural Models Using Neural Networks
Machine learning tools such as neural networks are increasingly applied in marketing and economics to learn complex relations in data. …
Yanhao Wei, Zhenling Jiang
SSRN
Designing Dealer Compensation in the Auto Loan Market: Implications from a Policy Experiment
We study the design of dealer compensation policy in the indirect auto lending market, where most lenders give dealers the discretion …
Zhenling Jiang, Yanhao "Max" Wei, Tat Chan, Naser Hamdi
DOI Abstract
The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax
What is the value of verified employment data in consumer lending? We study this question using a data set covering all employment …
Tat Chan, Naser Hamdi, Xiang Hui, Zhenling Jiang
DOI Abstract
An Empirical Bargaining Model with Left-digit Bias: A Study on Auto Loan Monthly Payments
This paper studies price bargaining when both parties have left-digit bias when processing numbers. The empirical analysis focuses on …
Zhenling Jiang
DOI Abstract
How Does Bonus Payment Affect Auto Loan Demand and Delinquency?
This article studies how receiving a bonus changes consumers’ demand for auto loans and their risk of future delinquency. Unlike …
Zhenling Jiang, Dennis J. Zhang, Tat Chan
DOI Abstract The New York Times
Can Non-tiered Customer Loyalty Programs Be Profitable?
We study the impact of launching a non-tiered customer loyalty program on consumers’ spending per visit, frequency of visits and …
Arun Gopalakrishnan, Zhenling Jiang, Yulia Nevskaya, Raphael Thomadsen
DOI Abstract
Consumer Search and Purchase: An Empirical Investigation of Retargeting Based on Consumer Online Behaviors
This paper empirically investigates how marketers can retarget consumers who have searched online but did not purchase, based on their …
Zhenling Jiang, Tat Chan, Hai Che, Youwei Wang
DOI Abstract