Julian TszKin Chan

Bates White Economic Consulting

1300 Eye Street NW

Suite 600

Washington, DC 20005

United States

SCHOLARLY PAPERS

6

DOWNLOADS

513

SSRN CITATIONS

1

CROSSREF CITATIONS

1

Scholarly Papers (6)

1.

Reading China: Predicting Policy Change with Machine Learning

AEI Economics Working Paper Series (No. 2018-11)
Number of pages: 43 Posted: 06 Dec 2018 Last Revised: 14 Apr 2019
Julian TszKin Chan and Weifeng Zhong
Bates White Economic Consulting and Mercatus Center at George Mason University
Downloads 271 (156,624)
Citation 4

Abstract:

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policy change, machine learning, China, People’s Daily, propaganda

2.

Snowball Sampling and Sample Selection in a Social Network

Number of pages: 23 Posted: 08 May 2019
Julian TszKin Chan
Bates White Economic Consulting
Downloads 167 (244,779)

Abstract:

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3.

Predicting Authoritarian Crackdowns: A Machine Learning Approach

Mercatus Research Paper
Number of pages: 31 Posted: 02 Mar 2020
Julian TszKin Chan and Weifeng Zhong
Bates White Economic Consulting and Mercatus Center at George Mason University
Downloads 45 (542,373)

Abstract:

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policy change, machine learning, protest, crackdown, propaganda

4.

Words Speak Louder Than Numbers: Estimating China’s COVID-19 Severity with Deep Learning

Mercatus COVID-19 Response Working Paper Series
Number of pages: 31 Posted: 29 Dec 2020
Julian TszKin Chan, Kwan-Yuet Ho, Kit Lee, Weifeng Zhong and Kawai Leung
Bates White Economic Consulting, Data Scientist, Data Scientist, Mercatus Center at George Mason University and Independent Researcher
Downloads 30 (623,583)

Abstract:

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policy change, propaganda, deep learning, coronavirus, COVID-19, SARS, outbreak

5.

Marriage-Induced Homeownership as a Driver of Housing Booms: Evidence from Hong Kong

Housing Studies, online first, 24 pages. doi:10.1080/02673037.2019.1632422, The University of Auckland Business School Research Paper Series
Posted: 06 Dec 2021
William Ka Shing Cheung, Julian TszKin Chan and Paavo Monkkonen
University of Auckland Business School, Bates White Economic Consulting and University of California, Los Angeles (UCLA)

Abstract:

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Marriage, homeownership, housing prices, instrumental variable

6.

Anchoring and Asymmetric Information in the Real Estate Market: A Machine Learning Approach

Journal of Risk and Financial Management, 14(9), 423. https://doi.org/10.3390/jrfm14090423, The University of Auckland Business School Research Paper Series
Posted: 30 Nov 2021
University of Auckland Business School, Bates White Economic Consulting, University of Pittsburgh and University of Auckland Business School

Abstract:

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unsupervised machine learning, natural language process, non-local buyers, anchoring biases, information asymmetry, repeat-sales estimates