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Calendarization with interpolating splines and state space models

Author

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  • B. Quenneville
  • F. Picard
  • S. Fortier

Abstract

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Suggested Citation

  • B. Quenneville & F. Picard & S. Fortier, 2013. "Calendarization with interpolating splines and state space models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(3), pages 371-399, May.
    • Handle: RePEc:bla:jorssc:v:62:y:2013:i:3:p:371-399
    DOI: rssc.12002
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    Cited by:

    1. Klaus Abberger & Michael Graff & Oliver Müller & Boriss Siliverstovs, 2023. "Imputing Monthly Values for Quarterly Time Series: An Application Performed with Swiss Business Cycle Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(3), pages 241-273, November.
    2. Tommaso Fonzo & Marco Marini, 2015. "Reconciliation of systems of time series according to a growth rates preservation principle," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 651-669, November.
    3. Ricci L. Reber & Sarah J. Pack, 2014. "Methods of Temporal Disaggregation for Estimating Output of the Insurance Industry," BEA Working Papers 0115, Bureau of Economic Analysis.
    4. Homesh Sayal & John A. D. Aston & Duncan Elliott & Hernando Ombao, 2017. "An introduction to applications of wavelet benchmarking with seasonal adjustment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 863-889, June.

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