Insurgent Learning

Working Paper: NBER ID: w23475

Authors: Francesco Trebbi; Eric Weese; Austin L. Wright; Andrew Shaver

Abstract: We study a model of insurgent learning during a counterinsurgency campaign. We test empirical implications of the model using newly declassified microdata documenting improvised explosive devices (IEDs) in Afghanistan from 2006 to 2014. This period was characterized by substantial US investments in anti-IED technology and equipment. We find no evidence of decreasing effectiveness of IEDs across time. Qualitative evidence suggests that this is due to innovations in IED devices and tactics. Our results are robust to numerous alternative specifications, and yield insights on a technological revolution in insurgent violence—the proliferation and evolution of IEDs—with implications for scholarship on civil conflict and future investment in tactical countermeasures.

Keywords: Insurgent Learning; Counterinsurgency; IEDs; Technology; Civil Conflict

JEL Codes: O1; P48


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
Insurgents' adaptation (D74)IED effectiveness (F50)
Counterinsurgent investments (H56)IED effectiveness (F50)
Counterinsurgent investments (H56)Casualty rates for coalition forces (H56)
Counterinsurgent investments (H56)Casualty rates for Afghan forces (H56)
IED detonation likelihood in 2014 (F44)IED detonation likelihood in 2006 (F44)
Conditional on detonation, IED damage in 2014 (H56)IED damage in 2006 (I12)

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