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Predicting Authoritarian Crackdowns: A Machine Learning Approach

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  • Zhong, Weifeng
  • Chan, Julian

    (Mercury Publication)

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  • Zhong, Weifeng & Chan, Julian, 2020. "Predicting Authoritarian Crackdowns: A Machine Learning Approach," Working Papers 10464, George Mason University, Mercatus Center.
    • Handle: RePEc:ajw:wpaper:10464
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    References listed on IDEAS

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    1. Maja Adena & Ruben Enikolopov & Maria Petrova & Veronica Santarosa & Ekaterina Zhuravskaya, 2015. "Radio and the Rise of The Nazis in Prewar Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1885-1939.
    2. Ruben Enikolopov & Maria Petrova & Ekaterina Zhuravskaya, 2011. "Media and Political Persuasion: Evidence from Russia," American Economic Review, American Economic Association, vol. 101(7), pages 3253-3285, December.
    3. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    4. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    5. Daniel Martin Katz & Michael J Bommarito II & Josh Blackman, 2017. "A general approach for predicting the behavior of the Supreme Court of the United States," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-18, April.
    6. David Yanagizawa-Drott, 2014. "Propaganda and Conflict: Evidence from the Rwandan Genocide," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1947-1994.
    7. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    8. Davide Cantoni & David Y Yang & Noam Yuchtman & Y Jane Zhang, 2019. "Protests as Strategic Games: Experimental Evidence from Hong Kong's Antiauthoritarian Movement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 1021-1077.
    9. Weifeng Zhong & Julian TszKin Chan, 2018. "Reading China: Predicting policy change with machine learning," AEI Economics Working Papers 998561, American Enterprise Institute.
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