[
Australian Bureau of Statistics. 2007. Forthcoming changes to labour force statistics: 6292.0, Australian Bureau of Statistics, Canberra, Australia. Available at: https://www.abs.gov.au/ausstats/abs@.nsf/mf/6292.0 (accessed July 2022).
]Search in Google Scholar
[
Bell, P. 2001. “Comparison of alternative labour force survey estimators.” Survey Methodology 27: 53–63. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2001001/article/5854-eng.pdf.
]Search in Google Scholar
[
Berger, Y.G. 2004. “Variance estimation for measures of change in probability sampling.” Canadian Journal of Statistics 32: 451–467. DOI: https://doi.org/10.2307/3316027.
]Search in Google Scholar
[
Berger, Y.G., J.F. Muñoz, and E. Rancourt. 2009. “Variance estimation of survey estimates calibrated on estimated control totals – an application to the extended regression estimator and the regression composite estimator.” Computational Statistics and Data Analysis 53: 2596–2604. DOI: https://doi.org/10.1016/j.csda.2008.12.011.
]Search in Google Scholar
[
Berger, Y.G., M.E.H. Tirari, and Y. Tillé. 2003. “Towards optimal regression estimation in sample surveys.” Australian & New Zealand Journal of Statistics 45: 319–329. DOI: https://doi.org/10.1111/1467-842X.00286.
]Search in Google Scholar
[
Bonnéry, D., Y. Cheng, and P. Lahiri. 2020. “An evaluation of design-based properties of different composite estimators.” Statistics in Transition New Series 21: 166–190. DOI: https://doi.org/10.21307/stattrans-2020-037.
]Search in Google Scholar
[
Cassel, C.-M., C. Sa¨rndal, and J. Wretman. 1977. Foundations of inference in survey sampling. New York: Wiley.
]Search in Google Scholar
[
Deville, J.C., and Y. Tillé. 2005. “Variance approximation under balanced sampling.” Journal of Statistical Planning and Inference 128: 569–591. DOI: https://doi.org/10.1016/j.jspi.2003.11.011.
]Search in Google Scholar
[
Eurostat. 2012. European union statistics on income and living conditions (EU-SILC). Available at: https://ec.europa.eu/eurostat/web/microdata/european-union-statistics-on-income-and-living-conditions (accessed July 2022).
]Search in Google Scholar
[
Fuller, W. 1990. “Analysis of repeated surveys.” Survey Methodology 16: 167–180. Available at: https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X199000214537.
]Search in Google Scholar
[
Fuller, W.A., and J. Rao. 2001. “A regression composite estimator with application to the canadian labour force survey.” Survey Methodology 27: 45–52. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2001001/article/5853-eng.pdf.
]Search in Google Scholar
[
Gambino, J., B. Kennedy, and M.P. Singh. 2001. “Regression composite estimation for the canadian labour force survey: Evaluation and implementation.” Survey Methodology 27: 65–74. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2001001/article/5855-eng.pdf.
]Search in Google Scholar
[
Gambino, J.G., and P.L.N. Silva. 2009. “Sampling and estimation in house-hold surveys.” In Sample Surveys: Design, Methods and Applications, edited by D. Pfeffermann and C.R. Rao. 29A of Handbook of Statistics: 407–439. Amsterdam: Elsevier.10.1016/S0169-7161(08)00016-3
]Search in Google Scholar
[
Guandalini, A., and Y. Tillé. 2017. “Design-based estimators calibrated on estimated totals from multiple surveys.” International Statistical Review 85: 250–269. DOI: https://doi.org/10.1111/insr.12160.
]Search in Google Scholar
[
Gurney, M.A., and J.F. Daly. 1965. “A multivariate approach to estimation in periodic sample surveys.” In Proceedings of the Section of Survey and Research Methods, American Statistical Association, September 1965: 242–257, Philadelphia USA. Available at: http://www.asasrms.org/Proceedings/index.html? (accessed February 2023).
]Search in Google Scholar
[
Hájek, J. 1964. “Asymptotic theory of rejective sampling with varying probabilities from a finite population.” The Annals of Mathematical Statistics 35: 1491–1523. DOI: https://doi.org/10.1214/aoms/1177700375.
]Search in Google Scholar
[
Hájek, J. 1981. Sampling from a Finite Population. New York: Marcel Dekker.
]Search in Google Scholar
[
Hansen, M., Hurwitz, W., and W. Madow. 1953. Sample survey methods and theory, vol. I and II. New York: Wiley.
]Search in Google Scholar
[
Horvitz, D.G., and D.J. Thompson. 1952. “A generalization of sampling without replacement from a finite universe.” Journal of the American Statistical Association 47: 663–685. DOI: https://doi.org/10.1080/01621459.1952.10483446.
]Search in Google Scholar
[
Isaki, C.T., and W.A. Fuller. 1982. “Survey design under the regression superpopulation model.” Journal of the American Statistical Association 77: 89–96. DOI: https://doi.org/10.1080/01621459.1982.10477770.
]Search in Google Scholar
[
Kalton, G. 2009. “Design for surveys over time.” In Sample Surveys: Design, Methods and Applications, edited by D. Pfeffermann and C.R. Rao, 29A of Handbook of Statistics: 89–108. Amsterdam: Elsevier.10.1016/S0169-7161(08)00005-9
]Search in Google Scholar
[
Kumar, S., and H. Lee. 1983. “Evaluation of composite estimation for the canadian labor force survey.” Survey Methodology 9: 403–408. Availabe at: https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X198300214342.
]Search in Google Scholar
[
Montanari, G. 1987. “Post sampling efficient qr-prediction in large sample survey.” International Statistical Review 55: 191–202. DOI: https://doi.org/10.2307/1403195.
]Search in Google Scholar
[
Särndal, C.E. 1980. “On ϕ-inverse weighting versus best linear unbiased weighting in probability sampling.” Biometrika 67: 639–650. DOI: https://doi.org/10.1093/biomet/67.3.639.
]Search in Google Scholar
[
Särndal, C.-E., B. Swensson, and J.H. Wretman. 1992. Model Assisted Survey Sampling. New York: Springer-Verlag.10.1007/978-1-4612-4378-6
]Search in Google Scholar
[
Singh, A.C. 1996. “Combining information in survey sampling by modified regression.”. In Proceedings of the Section on Survey Research Methods, American Statistical Association. August 1996: 120–129. Chicago, USA. Available at: http://www.asasrms.org/Proceedings/index.html? (accessed February 2023).
]Search in Google Scholar
[
Singh, A.C., B. Kennedy, and S. Wu. 2001. “Regression composite estimation for the canadian labour force survey with a rotating panel design.” Survey Methodology 27: 33–44. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2001001/article/5852-eng.pdf.
]Search in Google Scholar
[
Singh, A.C., B. Kennedy, S. Wu, and F. Brisebois. 1997. “Composite estimation for the canadian labour force survey.” In Proceedings of the Survey Research Methods Section, American Statistical Association, August 1997: 300–3005, Anaheim, USA. Available at: http://www.asasrms.org/Proceedings/index.html? (accessed February 2023).
]Search in Google Scholar
[
Smith, P., M. Pont, and T. Jones. 2003. “Developments in business survey methodology in the office for national statistics, 1994–2000.” Journal of the Royal Statistical Society. 52: 257–295. DOI: https://doi.org/10.1111/1467-9884.03571.
]Search in Google Scholar
[
Steel, D., and R. Clark. 2007. “Person-level and household-level regression estimation in household surveys.” Surveys Methodology 33: 55–60. Available at: https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X20070019852.
]Search in Google Scholar
[
Steel, D., and C. McLaren. 2008. Design and analysis of repeated surveys. Centre for Statistical and Survey Methodology, University of Wollongong: 11-08. Available at: http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1009&context=cssmwp (accessed July 2022).
]Search in Google Scholar
[
Steel, D., and C. McLaren. 2009. “Design and analysis of surveys repeated over time.” In Handbook of statistics, edited by C.R. Rao. 289–313 Elsevier.10.1016/S0169-7161(09)00233-8
]Search in Google Scholar
[
Wright, R.L. 1983. “Finite population sampling with multivariate auxiliary information.” Journal of the American Statistical Association 78: 879–884. DOI: https://doi.org/10.1080/01621459.1983.10477035.
]Search in Google Scholar
[
Yansaneh, I.S., and W.A. Fuller. 1998. “Optimal recursive estimation for repeated surveys.” Survey Methodology 24: 31–40. Available at: https://www150.statcan.gc.-ca/n1/pub/12-001-x/1998001/article/3907-eng.pdf.
]Search in Google Scholar
