The effects of state coercion on voting outcome in protest movements: A causal forest approach

Keyphrases

• Democracy 100%
• Protest Movements 100%
• Voting Outcomes 100%
• State Coercion 100%
• Causal Forest 100%
• Hong Kong 50%
• Copyright 50%
• Social Movements 50%
• Economic Concern 50%
• Economic Insecurity 50%
• Socio-economic Characteristics 50%
• Electoral Outcomes 50%
• Social Unrest 50%
• Machine Learning Algorithms 50%
• Police Violence 50%
• State Violence 50%
• District Council Elections 50%
• Tear Gas 50%
• Gas Usage 50%
• Vote Share 50%

Social Sciences

• Democracy 100%
• Stakeholders 100%
• Coercion 100%
• Protest Movements 100%
• Hong Kong 50%
• Administrative Structure 50%
• Elections 50%
• Social Conflicts 50%

Economics, Econometrics and Finance

• Political Unrest 100%
• Machine Learning 100%