Data and Policy Decisions: Experimental Evidence from Pakistan

Working Paper: CEPR ID: DP15169

Authors: Michael Callen; Saad Gulzar; Ali Hasanain; Muhammad Yasir Khan; Arman Rezaee

Abstract: We evaluate a program in Pakistan that equips government health inspectors with a smartphone app which channels data on rural clinics to senior policy makers. The system led to rural clinics being inspected 104% more often after 6 months, but only 43.8% more often after a year, with the latter estimate not attaining significance at conventional levels. There is also no clear evidence that the increase in inspections led to increases in general staff attendance. In addition, we test whether senior officials act on the information provided by the system. Focusing only on districts where the app is deployed, we find that highlighting poorly performing facilities on a dashboard viewed by supervisors raises doctor attendance by 75%. Our results indicate that technology may be able to mobilize data to useful effect, even in low capacity settings.

Keywords: bureaucracies; data-informed policy; information communication technology; health

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
smartphone monitoring program (L96)health clinic inspections (I18)
smartphone monitoring program (L96)doctor attendance (I11)
health clinic inspections (I18)doctor attendance (I11)
smartphone monitoring program (L96)doctor attendance (I11)

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