Predicting GDP growth across different Quantiles All Restricted

Wang, Qinwen (Spring 2022)

Permanent URL: https://etd.library.emory.edu/concern/etds/n009w3620?locale=en
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This abstract is under embargo until 27 May 2024

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School	Emory College
Degree	B.S.
Submission	Honors Thesis
Language	English
Research Field	Economics, General Statistics Applied Mathematics
Keyword	IVXQR Quantile Regression VAR Tree based methods
Committee Chair / Thesis Advisor	Rho, Seunghwa, Emory University
Committee Members	Xiong, Ruoxuan, Emory University Ettinger, Bree, Emory University

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