방법 비교

	Conflict Recurrence Analysis	State Capacity Measurement	생존 분석
분야	International Relations	International Relations	연구 통계
계열	Survival analysis	Process / pipeline	Process / pipeline
기원 연도	2004	2010	1958
창시자	Civil-war recurrence literature (e.g., Barbara F. Walter)	State-capacity literature; measurement synthesis by Cullen Hendrix	Edward L. Kaplan and Paul Meier
유형	Survival/repeated-events analysis of renewed conflict	Measurement of the state's ability to penetrate, extract, and enforce	Method
원전	Walter, B. F. (2004). Does conflict beget conflict? Explaining recurring civil war. Journal of Peace Research, 41(3), 371–388.	Hendrix, C. S. (2010). Measuring state capacity: Theoretical and empirical implications for the study of civil conflict. Journal of Peace Research, 47(3), 273–285.	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.
별칭	Recurring Civil War Analysis, Conflict Relapse Analysis, Repeated-Conflict Survival Analysis, Conflict Recidivism Analysis	Measuring State Capacity, State Strength Measurement, Bureaucratic and Fiscal Capacity Measures, State Capacity Indicators	Kaplan-Meier analysis, Cox regression, TTE analysis
관련	3	3	3
요약	Conflict recurrence analysis studies why and when conflicts that have ended return, treating renewed war as a time-to-event outcome. Most civil wars in recent decades have occurred in countries with a prior war, making recurrence a central puzzle. Using survival and repeated-events models — as in Barbara Walter's (2004) analysis of recurring civil war — researchers model the hazard that a post-conflict country relapses into violence as a function of how the war ended and the underlying conditions, while accounting for the fact that the same country can experience multiple conflict spells.	State capacity measurement is the effort to quantify how able a state is to do the things states do — raise revenue, administer territory, and enforce its will — a variable central to explaining civil conflict, development, and governance. Because capacity is abstract, researchers operationalize it through observable indicators of fiscal, bureaucratic, and coercive strength. Hendrix (2010) systematically compared fifteen common operationalizations, using factor analysis to show that they reduce to a few underlying dimensions, and clarified which measures best capture the capacity relevant to conflict.	Survival analysis is a collection of statistical methods for modeling time from a defined starting point until an event of interest occurs (disease, recovery, death, equipment failure). Kaplan and Meier's nonparametric estimator (1958) and David Cox's proportional hazards model (1972) jointly enabled analysis of censored data—individuals whose event times are unknown because they left the study or were still event-free at follow-up. Indispensable in oncology, cardiology, infectious disease research, engineering reliability, and any field where time-to-event matters.