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Illuminating the Economic Costs of Conflict: A Night Light Analysis of the Sri Lankan Civil War

by Nicholas Kiran Wijesekera

Abstract 

This paper investigates the economic consequences of the Sri Lankan Civil War (1983-2009) by using event-based data on civilian and combatant fatalities in addition to night light imagery as a proxy for economic activity. By looking at regional economic activity across the island of Sri Lanka, this paper
seeks to identify how violence led to declines or undershoots of economic activity in the areas in which it was most prevalent. The use of night light data gives a
hyper-localized proxy measurement of this activity for each year of the war. The investigation finds that government and rebel deaths have strong, negative effects on economic activity, and that these effects spill over across time and space. Additionally, the manner in which civilian deaths occur is an important determinant of their subsequent economic impact. The paper offers new findings on the economic legacy of the Sri Lankan Civil War and extends existing work on the use of night light data to measure economic activity during conflict.

Charles Becker, Faculty Advisor
Michelle Connolly, Faculty Advisor

JEL Codes: H56, N45, O53

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The Impact of Conflict on Economic Activity: Night Lights and the Bosnian Civil War

by Stephanie Dodd

The tendency of violent conflict to suppress economic activity is well documented in the civil war economic literature. However, differential consequences resulting from distinct characteristics of conflicts have not been rigorously studied. Utilizing new conflict data on the 1992-1995 Bosnian civil war from Becker, Devine, Dogo, and Margolin (2018) and DSMP-OLS night light data as a proxy for economic activity, this paper investigates the disparate economic impacts that different types of conflict have on Bosnia’s municipalities.

This investigation first uses data from other Yugoslavian countries to impute pre-war night light values for conflict-affected Bosnian municipalities. Next, a spatial autocorrelation model with fixed effects is used to determine if and how the occurrence of different types of violence vary in their implications for economic activity. This analysis finds that the five types of warfare identified in the context of the Bosnian Civil war have different impacts on night lights and economic activity.

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Advisors: Professor Charles Becker, Professor Grace Kim  | JEL Codes: F52, H56, O52

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu