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个人简介
Zhenling’s research is problem driven, and she has utilized various empirical methods, including structural models, causal inference and machine learning, in her research. On the substantive side, She has worked on how to improve re-targeted advertising based on consumer search information, as well as quantifying the value of loyalty program. Her current research projects focus on various questions in the consumer financial market, such as designing dealer compensation in auto loan market; identifying behavioral bias in financial decision making; and quantifying the impact of digitization in credit access. She also works on methodology advancement in structural estimation, including using machine learning methods.
Zhenling teaches Data and Analysis in Marketing Decisions (MKTG 212/712).
Zhenling teaches Data and Analysis in Marketing Decisions (MKTG 212/712).
研究兴趣
论文共 19 篇作者统计合作学者相似作者
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Zhenling Jiang, Donggwan Kim
SSRN Electronic Journal (2024)
Social Science Research Network (2023)
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Social Science Research Network (2023)
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SSRN Electronic Journal (2022)
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Social Science Research Network (2021)
Social Science Research Networkno. 4 (2020): 367-386
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