A Simple Adaptation of Variable Selection Software for Regression Models to Select Variables in Nested Error Regression Models
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DOI: 10.1007/s13571-018-0161-6
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References listed on IDEAS
- Jiming Jiang & P. Lahiri, 2006. "Mixed model prediction and small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-96, June.
- Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258, September.
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Cited by:
- Cai Song & Rao J. N. K. & Dumitrescu Laura & Chatrchi Golshid, 2020. "Effective transformation-based variable selection under two-fold subarea models in small area estimation," Statistics in Transition New Series, Statistics Poland, vol. 21(4), pages 68-83, August.
- Yan Li, 2020. "Discussion of "Small area estimation: its evolution in five decades", by Malay Ghosh," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 35-39, August.
- Merfeld, Joshua D. & Newhouse, David & Weber, Michael & Lahiri, Partha, 2022.
"Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes,"
IZA Discussion Papers
15390, Institute of Labor Economics (IZA).
- Merfeld,Joshua David & Newhouse,David Locke & Weber,Michael & Lahiri,Partha, 2022. "Combining Survey and Geospatial Data Can Significantly Improve Gender-DisaggregatedEstimates of Labor Market Outcomes," Policy Research Working Paper Series 10077, The World Bank.
- Song Cai & J. N. K. Rao & Laura Dumitrescu & Golshid Chatrchi, 2020. "Effective transformation-based variable selection under two-fold subarea models in small area estimation," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 68-83, August.
- Song Cai & J.N.K. Rao, 2022. "Selection of Auxiliary Variables for Three-Fold Linking Models in Small Area Estimation: A Simple and Effective Method," Stats, MDPI, vol. 5(1), pages 1-11, February.
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Keywords
Fuller-Battese transformation; Intracluster correlation; Lahiri-Li transformation; Variable selection criteria;All these keywords.
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