However, only weak socioeconomic dynamics were observed every seventh household was defined as 'worse-off' or 'better-off' despite the war-time circumstances. The population in the remaining 182 households shrunk from 1,749 to 1,625 persons due to migration and natural population changes. Of 203 households initially included in the first survey, 21 were lost to follow-up. Most-poor/least-poor ratios and concentration indices were calculated to assess equity changes in households' asset possession. Statistical analysis tested for significant associations between the socioeconomic fates of households and head of household characteristics, household composition, village characteristics and self-reported events associated with the armed conflict. Based on quintile changes, the households were labeled as 'worse-off', 'even' or 'better-off'. Principal component analysis was applied at the two time points for constructing an asset-based wealth-index and categorizing the households in wealth quintiles. Between the two surveys, the area was subject to intensive fighting in the Ivorian civil war. Standardized questionnaires were administered to 182 households in a rural part of western Côte d'Ivoire in August 2002 and again in early 2004. We conducted a secondary analysis of data pertaining to risk factors for malaria and neglected tropical diseases. In contrast, there is a paucity of quantitative studies about the socioeconomic consequences of armed conflict at the micro-level, i.e., noncommitted local households and civilians. Current conceptual frameworks on the interrelationship between armed conflict and poverty are based primarily on aggregated macro-level data and/or qualitative evidence and usually focus on adherents of warring factions.
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