Institutional Affiliation: Lahore University of Management Sciences
|Data and Policy Decisions: Experimental Evidence from Pakistan|
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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 d...
Published: Michael Callen & Saad Gulzar & Ali Hasanain & Muhammad Yasir Khan & Arman Rezaee, 2020. "Data and policy decisions: Experimental evidence from Pakistan," Journal of Development Economics, vol 146.
|Identifying Ideology: Experimental Evidence on Anti-Americanism in Pakistan|
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Identifying the role of intrinsic, ideological motivation in political behavior is confounded by agents' consequential aims and social concerns. We present results from two experiments that implement a methodology isolating Pakistani men's intrinsic motives for expressing anti-American ideology, in a context with clearly-specified financial costs, but minimal consequential or social considerations. Over one-quarter of subjects forgo around one-fifth of a day's wage to avoid anonymously checking a box indicating gratitude toward the U.S. government, thus revealing anti-Americanism. We find that ideological expression responds to financial and social incentives, and that measured ideology predicts membership in a major anti-American political party.