Methods for quarterly disaggregation without indicators; a comparative study using simulation
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Cited by:
- 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.
- Klaus Abberger & Michael Graff & Oliver Müller & Boriss Silverstovs, 2022. "Imputing monthly values for quarterly time series. An application performed with Swiss business cycle data," KOF Working papers 22-509, KOF Swiss Economic Institute, ETH Zurich.
- Klaus Abberger & Michael Graff & Oliver Müller & Boriss Siliverstovs, 2022. "Imputing Monthly Values for Quarterly Time Series. An Application Performed with Swiss Business Cycle Data," CESifo Working Paper Series 10191, CESifo.
- Bu Hyoung Lee, 2022. "Bootstrap Prediction Intervals of Temporal Disaggregation," Stats, MDPI, vol. 5(1), pages 1-13, February.
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