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Dual frame design in agricultural surveys: reviewing roots and methodological perspectives

Author

Listed:
  • C. Ferraz

    (Federal University of Pernambuco)

  • F. Mecatti

    (University of Milano-Bicocca)

  • J. Torres

    (Federal University of Pernambuco)

Abstract

This paper intends to contribute to an up-to-date discussion of dual frame designs in agricultural surveys. It starts by reviewing historical scenarios of applications to envision new perspectives, and ends by presenting a modern approach to the problem. A dual frame sampling design is proposed that has the appeal of relying on low-cost technological resources. The design has enough generality to allow for applications not only on agricultural but also on rural and environmental surveys, or any other survey related to the use of soil. Unbiased estimations based on domain and multiplicity approaches are presented and their major differences are discussed. Design parameters, design feasibility by different sample size allocations, as well as the statistical performance of several dual frame estimators are investigated using a Monte Carlo simulation study that is built on information from the Brazilian agricultural census of 2006 and FAO’s Global Strategy’s field experiences in the city of Goiana, Pernambuco. The results show dual frames present a gain in precision when compared to a single area frame survey. In addition, the choice of the best design and estimator depends upon scenarios with different types of allocation and different sizes of area frame segments.

Suggested Citation

  • C. Ferraz & F. Mecatti & J. Torres, 2023. "Dual frame design in agricultural surveys: reviewing roots and methodological perspectives," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 593-617, June.
    • Handle: RePEc:spr:stmapp:v:32:y:2023:i:2:d:10.1007_s10260-022-00669-8
    DOI: 10.1007/s10260-022-00669-8
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    References listed on IDEAS

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    1. Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2015. "Sampling Spatial Units for Agricultural Surveys," Advances in Spatial Science, Springer, edition 127, number 978-3-662-46008-5, Fall.
    2. Maria Mar Rueda & Maria Giovanna Ranalli & Antonio Arcos & David Molina, 2021. "Population empirical likelihood estimation in dual frame surveys," Statistical Papers, Springer, vol. 62(5), pages 2473-2490, October.
    3. Rao, J. N. K. & Wu, Changbao, 2010. "Pseudo–Empirical Likelihood Inference for Multiple Frame Surveys," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1494-1503.
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