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University student enrollment forecasts by analysis structural ratios using ARIMA-methods

Author

Listed:
  • Stephan Boes
  • Peter Pflaumer

Abstract

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Suggested Citation

  • Stephan Boes & Peter Pflaumer, 2006. "University student enrollment forecasts by analysis structural ratios using ARIMA-methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(2), pages 253-271, June.
    • Handle: RePEc:spr:alstar:v:90:y:2006:i:2:p:253-271
    DOI: 10.1007/s10182-006-0233-1
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    Cited by:

    1. Hendrik Hansen, 2013. "The forecasting performance of mortality models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(1), pages 11-31, January.

    More about this item

    Keywords

    Higher education enrollment forecast; ARIMA-models; demographic development; JEL C22; I23; J11;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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