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首页> 外文期刊>The European journal of development research >How Much Should We Trust Micro-data? A Comparison of the Socio-demographic Profile of Malawian Households Using Census, LSMS and DHS data
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How Much Should We Trust Micro-data? A Comparison of the Socio-demographic Profile of Malawian Households Using Census, LSMS and DHS data

机译:我们应该信任多少微数据?使用人口普查,LSMS和DHS数据对马拉维家庭的社会人口统计学特征进行比较

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This paper assesses the empirical representativeness of micro-data by comparing the Malawi 2008 census to two representative household surveys – ‘the Living Standard Measurement Survey’ and the ‘Demographic and Health Survey’ – both implemented in Malawi in 2010. The comparison of descriptive statistics – demographics, asset ownership, and living conditions – shows considerable similarities despite statistically identifiable differences due to the large samples. Differences mainly occur when wording, scope, and pre-defined answer categories diverge across surveys. Multivariate analyses are considerably less representative due to loss of observations with composite indicators yielding higher comparability as individual ones. Household-level fixed-effect specifications produce more similar results, yet are not suited for policy conclusions. Comparability of micro-data should not be assumed but checked on a case-by-case basis. Still, micro-data constitute reliable grounds for factually informed conclusions if design and context are appropriately considered.
机译:本文通过将马拉维2008年的人口普查与2010年在马拉维进行的两项有代表性的家庭调查(“生活水平测量调查”和“人口与健康调查”)进行比较,评估了微观数据的经验代表性。 –人口统计,资产所有权和生活条件–尽管样本量较大,但在统计上可以识别出差异,但仍显示出相当大的相似性。当措辞,范围和预定义的答案类别在调查中有所不同时,会发生差异。多变量分析的代表性大大降低,这是因为观察值的损失与综合指标相比具有更高的可比性。家庭层面的固定效应规范产生了更多类似的结果,但并不适合于政策结论。不应假定微数据的可比性,而应根据具体情况进行检查。如果适当考虑设计和环境,微数据仍然是得出事实结论的可靠依据。

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