Efficient survey sampling of households via Gaussian quadrature

Channing Arndt, Julia Kozlitina, Paul V. Preckel

Research output: Contribution to journalReview article

9 Scopus citations

Abstract

The collection of data through surveys is a costly and time-consuming process, particularly when complex economic data are involved.The paper presents an efficient approach, based on Gaussian quadrature, to survey sampling when some information is available about the target population. Using household data from Mozambique, we demonstrate that Gaussian quadrature subsamples, based on relatively easy to observe household characteristics such as size and educational attainment of members, generate better estimates of the moments of household expenditure than random samples of equal size.

Original languageEnglish (US)
Pages (from-to)355-364
Number of pages10
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Volume55
Issue number3
DOIs
StatePublished - May 1 2006

Keywords

  • Gaussian quadrature
  • Sampling
  • Survey methods

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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