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Efficient survey sampling of households via Gaussian quadrature

Author

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  • Channing Arndt
  • Julia Kozlitina
  • Paul V. Preckel

Abstract

Summary. 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.

Suggested Citation

  • Channing Arndt & Julia Kozlitina & Paul V. Preckel, 2006. "Efficient survey sampling of households via Gaussian quadrature," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(3), pages 355-364, May.
    • Handle: RePEc:bla:jorssc:v:55:y:2006:i:3:p:355-364
    DOI: 10.1111/j.1467-9876.2006.00537.x
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    Cited by:

    1. Yohannes Gebretsadik & Kenneth Strzepek & Adam Schlosser, 2014. "A Hybrid Approach to Incorporating Climate Change and Variability into Climate Scenario for Impact Assessments," WIDER Working Paper Series wp-2014-112, World Institute for Development Economic Research (UNU-WIDER).
    2. C. Schlosser & Kenneth Strzepek, 2015. "Regional climate change of the greater Zambezi River Basin: a hybrid assessment," Climatic Change, Springer, vol. 130(1), pages 9-19, May.
    3. C. Adam Schlosser & Ken Strzepek, 2015. "Assessing the likelihood of regional climate change over the Nile River basin and northern Africa: A hybrid assessment," WIDER Working Paper Series 152, World Institute for Development Economic Research (UNU-WIDER).
    4. Strzepek, Kenneth & Schlosser, C. Adam, 2013. "Regional Climate Change of the Greater Zambezi River Basin: A Hybrid Assessment," WIDER Working Paper Series 040, World Institute for Development Economic Research (UNU-WIDER).
    5. A. Bhattacharya, 2010. "Estimating crop yield via Gaussian quadrature," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1275-1281.
    6. Gebretsadik, Yohannes & Strzepek, Kenneth & Schlosser, C. Adam, 2014. "A hybrid approach to incorporating climate change and variability into climate scenario for impact assessments," WIDER Working Paper Series 112, World Institute for Development Economic Research (UNU-WIDER).
    7. Adam Schlosser & Kenneth Strzepek, 2013. "Regional Climate Change of the Greater Zambezi River Basin: A Hybrid Assessment," WIDER Working Paper Series wp-2013-040, World Institute for Development Economic Research (UNU-WIDER).
    8. Phimister, Euan & Roberts, Deborah, "undated". "Allowing for uncertain and asymmetric policy shocks: a CGE analysis of the impacts of on-shore wind farm developments in north east Scotland," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182663, European Association of Agricultural Economists.
    9. Adam Schlosser & Kenneth Strzepek, 2015. "Assessing the likelihood of regional climate change over the Nile River basin and northern Africa: A hybrid assessment," WIDER Working Paper Series wp-2015-152, World Institute for Development Economic Research (UNU-WIDER).

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