Efficiency and feasibility of sampling schemes in establishment surveys

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2019-02-11 DOI:10.1080/08898480.2018.1553411

M. M. Dickson, A. Grafström, D. Giuliani, G. Espa

引用次数: 1

Abstract

ABSTRACT When conducting firm-level surveys, a relevant aspect in sampling design is to guarantee that the selected sample of business units is representative of the population. Stratified sampling design is used to obtain a representative sample. However, stratification of the main characteristics of establishments may not always be computationally feasible, due to the high number of small and empty strata occurring when the population is highly stratified. A simulation with common sampling designs allows the comparison of the local pivotal method and spatially correlated Poisson sampling in terms of spatial balance and efficiency in estimation. These spatial designs are efficient, whereas stratification is no longer feasible.

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机构调查抽样方案的有效性和可行性

摘要在进行企业层面的调查时，抽样设计的一个相关方面是确保所选的业务单元样本能够代表人群。分层抽样设计用于获得具有代表性的样本。然而，机构主要特征的分层在计算上可能并不总是可行的，因为当人口高度分层时，会出现大量的小而空的分层。具有常见采样设计的模拟允许在空间平衡和估计效率方面比较局部关键方法和空间相关泊松采样。这些空间设计是有效的，而分层不再可行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.