Constructing sociodemographic indicators for national statistical institutes by using mobile phone data: estimating literacy rates in Senegal
Constructing sociodemographic indicators for national statistical institutes by using mobile phone data: estimating literacy rates in Senegal
复制标题
利用手机数据为国家统计机构构建社会人口统计指标：估算塞内加尔的识字率
DOI：
10.1111/rssa.12305
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Till Zbiranski
中科院分区：
文献类型：
--
作者：
T. Schmid;F. Bruckschen;N. Salvati;Till Zbiranski
现代官方统计系统要求准确和及时地估计按地理区域分列的社会人口指标。传统的数据收集方法，如人口普查或住户调查，给国家统计机构带来了沉重的财政和组织负担。新的信息和通信技术的兴起为减轻这些缺点提供了有希望的来源。我们建议发展中国家的国家统计机构采用一种基于小面积估计的统一方法，以便利用移动的电话数据来估计社会人口指标。特别是，该方法适用于塞内加尔的移动的电话数据，以得出按性别分列的国家以下各级文盲比例估计数。这些估计数用于确定需要增加基础设施或调整政策的文盲热点地区。虽然我们把扫盲作为一个特殊的社会人口指标，但所提出的方法适用于一般的国家统计指标。
Modern systems of official statistics require the accurate and timely estimation of sociodemographic indicators for disaggregated geographical regions. Traditional data collection methods such as censuses or household surveys impose great financial and organizational burdens on national statistical institutes. The rise of new information and communication technologies offers promising sources to mitigate these shortcomings. We propose a unified approach for national statistical institutes in developing countries based on small area estimation that allows for the estimation of sociodemographic indicators by using mobile phone data. In particular, the methodology is applied to mobile phone data from Senegal for deriving subnational estimates of the share of illiterates disaggregated by gender. The estimates are used to identify hotspots of illiterates with a need for additional infrastructure or policy adjustments. Although we focus on literacy as a particular sociodemographic indicator, the approach proposed is applicable to indicators from national statistics in general.
影响因子：
2.4
作者：
Tilman
通讯作者：
Tilman