Breaking Out of Low‐Effort Traps: Bureaucratic Leadership by Persuasion

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

ABSTRACT This paper tests if bureaucratic leadership impacts the quality of service provision of a difficult‐to‐monitor task: learning in public schools. Using the empirical case of rural India, it exploits an administrative setup with two types of bureaucrats for the same spatial unit, the district, that either have more authority or more ability to engage in time‐intensive persuasion. Utilizing blocked randomization inference and bias‐corrected variance decomposition on bureaucratic postings linked to independent learning data from household surveys across 10 years, it shows that only those bureaucrats with less authority but more ability to engage in persuasion impact learning. Drawing on novel interview data, it illustrates how bureaucratic leaders can increase effort levels of subordinates through persuasion to overcome collective action problems rather than relying on orders and monitoring as principal‐agent frameworks would suggest. The findings illustrate that for difficult‐to‐monitor tasks managerial intensity and persistence trump formal authority.

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