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.

Keywords

Sample representativeness; firm survey data; spatial designs; spatial balance; estimation

Published in

Mathematical Population Studies
2019, Volume: 26, number: 2, pages: 114-122
Publisher: TAYLOR & FRANCIS INC

SLU Authors

• Grafström, Anton

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Probability Theory and Statistics


Publication identifier

DOI: https://doi.org/10.1080/08898480.2018.1553411

Permanent link to this page (URI)

https://res.slu.se/id/publ/100367