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25 Years of IIF Time Series Forecasting: A Selective Review

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Author Info
Jan G. de Gooijer () (Faculty of Economics and Econometrics, Universiteit van Amsterdam)
Rob J. Hyndman () (Monash University, Australia)

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Abstract

We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one third of all papers published in these journals concerned time series forecasting. We also review highly influential works on time series forecasting that have been published elsewhere during this period. Enormous progress has been made in many areas, but we find that there are a large number of topics in need of further development. We conclude with comments on possible future research directions in this field.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 05-068/4.

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Date of creation: 23 Jun 2005
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Handle: RePEc:dgr:uvatin:20050068

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Web page: http://www.tinbergen.nl/

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Related research
Keywords: Time-Series Models; Index Numbers and Aggregation;

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

Cited by:
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  1. Katharina Hampel & Marcus Kunz & Norbert Schanne & Ruediger Wapler & Antje Weyh, 2006. "Regional Unemployment Forecasting Using Structural Component Models With Spatial Autocorrelation," ERSA conference papers ersa06p196, European Regional Science Association. [Downloadable!]
  2. Hampel, Katharina & Kunz, Marcus & Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2007. "Regional employment forecasts with spatial interdependencies," IAB Discussion Paper 200702, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]. [Downloadable!]
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