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.

中文翻译：

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基层单位调查中抽样方案的效率和可行性

摘要 在进行公司层面的调查时，抽样设计的一个相关方面是确保所选的业务单位样本能够代表总体。分层抽样设计用于获得具有代表性的样本。然而，对基层单位的主要特征进行分层在计算上并不总是可行的，因为当人口高度分层时会出现大量的小而空的分层。使用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。