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Yike Wang
Assistant Professor
Department of Economics
London School of Economics and Political Science
research
RESEARCH:
Area of Interest: Econometrics and Data Science
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"Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity" (with Chris Gu and Taisuke Otsu), under review.
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"Panel Data with High-Dimensional Factors with Application to Peer-Effects Analysis in Networks" (with Taisuke Otsu), revise and resubmit for Journal of Econometrics.
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"Consumer Online Search with Partially Revealed Information" (with Chris Gu), Management Science, vol. 68, no. 6, pp. 4215-4235, Jun. 2022.
Keywords: orderedness entropy, information complexity, consumer search, digital platform.
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"Principal Component and Static Factor Analysis" (with Jianfei Cao and Chris Gu), Macroeconomic Forecasting in the Era of Big Data ed. by Peter Fuleky, 2020, 229-266. Advanced Studies in Theoretical and Applied Econometrics, vol 52, Springer, Cham.
teaching
TEACHING:
London School of Economics and Political Science:
Ph.D. Course:
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Econometrics for MRes students
Ph.D./MSc Course:
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Further Topics in Econometrics
MSc Course:
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Introductory Course for MSc EME
Undergraduate Courses:
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Principles of Econometrics (Class)
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Econometric Theory (Class)
The University of Chicago:
Ph.D. Courses (TA):
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Software Engineering for Economists
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Software Engineering Bootcamp
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Analysis of Microeconomic Data
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The Origins and Consequences of Inequality in Capabilities
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Social Interactions and Inequality
Undergraduate Course (TA):
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Women, Work and Property Rights
education
EDUCATION:
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Ph.D. in Economics, The University of Chicago, 2019
Committee: Stephane Bonhomme (Chair), Chris Hansen, Elena Manresa
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MSc. in Mathematical Economics and Econometrics, Tilburg University, 2010
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BSc. in Economics, Tilburg University, 2009
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Visiting Student, Cornell University, Fall Semester 2008
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