Poverty Mapping for the Chilean Comunas
Poverty Mapping for the Chilean Comunas
复制标题
智利科穆纳斯贫困地图
DOI：
10.1002/9781118814963.ch20
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
P. Lahiri
中科院分区：
文献类型：
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作者：
Carolina Valencia;J. Encina;P. Lahiri
消除贫困一直是智利各项公共政策的中心，并指导着公共政策的努力。自1990年代初以来，全国调查估计的贫困率有所下降，表明在实现这一目标方面取得了一些进展。虽然这一结果是令人鼓舞的，不稳定的时间序列模式已经出现了小comunas在智利最小的领土实体。此外，对于少数极小的市镇，无法获得某些或所有时间点的贫困率调查估计数，原因仅仅是调查设计传统上侧重于对全国和广大地理区域的精确估计，在某些或所有时间点排除了这些市镇。在任何情况下，对贫困率的直接调查估计通常都达不到小市镇所期望的精确度，因此在市镇一级对已执行政策的评估并不直接。为了成功地监测趋势，确定影响因素，制定有效的公共政策，并在社区一级消除贫困，智利贫困统计的官方数据来源是国家社会经济特征调查（Casen），这是一项由社会发展部每两年或三年赞助的调查自1987年以来，在大多数社区进行了抽样调查。社区一级对各种社会经济数据的需求与设计有关，
The eradication of poverty has been at the center of various public policies in Chile and has guided public policy efforts. The nationwide survey estimate of the poverty rate has declined since the early 1990s suggesting some progress towards this goal. While this result is encouraging, erratic time series patterns have emerged for small comunas–the smallest territorial entity in Chile. Moreover, for a handful of extremely small comunas, survey estimates of poverty rates are unavailable for some or all time points simply because the survey design, which traditionally focuses on precise estimates for the nation and large geographical areas, excludes these comunas for some or all of the time points. In any case, direct survey estimates of poverty rates typically do not meet the desired precision for small comunas and thus the assessment of implemented policies is not straightforward at the comuna level. In order to successfully monitor trends, identify influential factors, develop effective public policies, and eradicate poverty at the comuna level, there is a growing need to improve on the methodology for estimating poverty rates at this level of geography.Chile’s official data source for poverty statistics is the National Socioeconomic Characterization Survey (Casen)–a survey sponsored every 2 or 3 years by the Ministerio de Desarrollo Social (henceforth referred to as the Ministry) since 1987 with sample in most of the comunas. The demand for various socioeconomic data at the comuna level is relevant for the design and