References
- Commandeur, J., & Koopman, S. (2007). An introduction to state space time series analysis. Oxford: OUP. [Google Scholar]
- Durbin, J., & Koopman, S. (2001). Time series analysis by state space methods. Oxford: Clarendon Press. [Google Scholar]
- Elliott, D., Zong, P., Greenaway, M., Lacey, A., & Dixon, G. (2015). A state space model for labour force survey estimates: Agreeing the target and dealing with wave specific bias. [Google Scholar]
- Harvey, A. (1990). Forecasting, structural time series models and the kalman filter. Cambridge: Cambridge University Press. [Crossref], [Google Scholar]
- Harvey, A., & Chung (2000). Producing monthly estimates of unemployment and employment according to the international labour office definition (with discussion). Journal of the Royal Statistical Society Series A, 160, 5–46. [Google Scholar]
- Helske, J. (2017). KFAS: Exponential family state space models in R. Journal of Statistical Software, 78(10), 1–39. doi: 10.18637/jss.v078.i10 [Crossref], [Web of Science ®], [Google Scholar]
- Hendry, D., Doornik, J. A., & Pretis, F. (2013, June). Step-indicator saturation. [Google Scholar]
- Hindrayanto, I., Aston, J. A., Koopman, S. J., & Ooms, M. (2013). Modelling trigonometric seasonal components for monthly economic time series. Applied Economics, 45(21), 3024–3034. Retrieved from https://doi.org/10.1080/00036846.2012.690937 [Taylor & Francis Online], [Web of Science ®], [Google Scholar]
- ONS (2016a). Labour force survey user guide: Volume 1 - lfs background and methodology 2016. Retrieved from https://www.ons.gov.uk/file?uri=/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance/volume12016.pdf [Google Scholar]
- ONS (2016b). Uk labour market: Nov 2016. Retrieved from https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/bulletins/uklabourmarket/november2016/pdf [Google Scholar]
- ONS (2017). Single month labour force survey estimates: Jan 2017. Retrieved from https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/singlemonthlabourforcesurveyestimates/jan2017/pdf [Google Scholar]
- Pfeffermann, D. (1991). Estimation and seasonal adjustment of population means using data from repeated surveys. Journal of Business & Economic Statistics, 9, 163–175. [Taylor & Francis Online], [Web of Science ®], [Google Scholar]
- Pfeffermann, D., Feder, M., & Signorelli, D. (1998). Estimation of autocorrelations of survey errors with application to trend estimation in small areas. Journal of Business & Economic Statistics, 16, 339–348. [Taylor & Francis Online], [Web of Science ®], [Google Scholar]
- Pfeffermann, D., & Tiller, R. (2005, November). Bootstrap approximation to prediction mse for state-space models with estimated parameters. Journal of Time Series Analysis, 26, 893–916. doi: 10.1111/j.1467-9892.2005.00448.x [Crossref], [Web of Science ®], [Google Scholar]
- R Core Team (2016). R: A language and environment for statistical computing [Computer software manual]. Vienna, Austria. Retrieved from https://www.R-project.org/ [Google Scholar]
- Silva, D., & Smith, T. (2001). Modelling compositional time series from repeated surveys. Survey Methodology, 27(2), 205–215. Retrieved from http://uos-app00353-si.soton.ac.uk/30037/ [Google Scholar]
- Skinner, H., & Holmes, D. (2011). Variance estimation for Labour Force Survey estimates of level and change: GSS Methodology Series 21. Retrieved from http://www.ons.gov.uk/ons/guide-method/method-quality/specific/gss-methodology-series/index.html [Google Scholar]
- Steele, D. (1997). Producing monthly estimates of unemployment and employment according to the international labour office definition (with discussion). Journal of the Royal Statistical Society Series A, 160, 5–46. doi: 10.1111/1467-985X.00044 [Crossref], [Google Scholar]
- Tiller, R. (1992). Time series modeling of sample survey data from the US current population survey. Journal of Official Statistics, 8(2), 149–166. [Google Scholar]
- Time Series Research Staff (2017). X-13arima-seats reference manual [Computer software manual]. Washington DC, US. Retrieved from https://www.census.gov/ts/x13as/docX13AS.pdf [Google Scholar]
- van den Brakel, J. A., & Krieg, S. (2009, February). Estimation of the monthly unemployment rate through structural time series modelling in a rotating panel design. Survey Methodology, 35, 177–190. [Web of Science ®], [Google Scholar]
- van den Brakel, J. A., & Krieg, S. (2015, December). Dealing with small sample sizes, rotation group bias and discontinuities in a rotating panel design. Survey Methodology,, 41, 267–296. [Web of Science ®], [Google Scholar]
- van den Brakel, J. A., & Krieg, S. (2016). Small area estimation with state space common factor models for rotating panels. Journal of the Royal Statistical Society: Series A (Statistics in Society), 179(3), 763–791. Retrieved from https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssa.12158 [Crossref], [Web of Science ®], [Google Scholar]
- Werner, B. (2006). Reflections on fifteen years of change in using the labour force survey. Retrieved from http://www.ons.gov.uk/ons/rel/lms/labour-market-trends–discontinued-/volume-114–no–8/reflections-of-fifteen-years-of-change-in-using-the-labour-force-survey.pdf?format=hi-vis [Google Scholar]