Bayesian Small Area Models under Inequality Constraints with Benchmarking and Double Shrinkage
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DOI: 10.22004/ag.econ.327250
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References listed on IDEAS
- Rebecca C. Steorts & Timo Schmid & Nikos Tzavidis, 2020. "Smoothing and Benchmarking for Small Area Estimation," International Statistical Review, International Statistical Institute, vol. 88(3), pages 580-598, December.
- Andreea L. Erciulescu & Nathan B. Cruze & Balgobin Nandram, 2019. "Model‐based county level crop estimates incorporating auxiliary sources of information," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(1), pages 283-303, January.
- Wang, Junyuan & Fuller, Wayne A., 2003. "The Mean Squared Error of Small Area Predictors Constructed With Estimated Area Variances," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 716-723, January.
- Ryan Janicki & Andrew Vesper, 2017. "Benchmarking techniques for reconciling Bayesian small area models at distinct geographic levels," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(4), pages 557-581, November.
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Cited by:
- Linda J. Young & Lu Chen, 2022. "Using Small Area Estimation to Produce Official Statistics," Stats, MDPI, vol. 5(3), pages 1-17, September.
- Chen Lu & Nandram Balgobin & Cruze Nathan B., 2022. "Hierarchical Bayesian Model with Inequality Constraints for US County Estimates," Journal of Official Statistics, Sciendo, vol. 38(3), pages 709-732, September.
- Lu Chen & Luca Sartore & Habtamu Benecha & Valbona Bejleri & Balgobin Nandram, 2022. "Smoothing County-Level Sampling Variances to Improve Small Area Models’ Outputs," Stats, MDPI, vol. 5(3), pages 1-18, September.
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Research Methods/ Statistical Methods;Statistics
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