How “Benevolent” Data Manipulation Mitigates Authoritarian Risks: Evidence from multiple authoritarian regimes

• In Event: State Society Relations in Autocracies

Brief Overview

This paper uses a model and case studies to theorize an alternative, "benevolent" type of local data manipulation, where officials falsify data to counter harmful central policies, benefiting both local livelihood and the state.

Author

• Jingyang Rui, University of Michigan-Ann Arbor