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Original Research
Combining quantitative and qualitative data in business cycle research
South African Journal of Business Management | Vol 17, No 3 | a1048 |
DOI: https://doi.org/10.4102/sajbm.v17i3.1048
| © 2018 E. Smit
| This work is licensed under CC Attribution 4.0
Submitted: 22 October 2018 | Published: 30 September 1986
Submitted: 22 October 2018 | Published: 30 September 1986
About the author(s)
E. Smit, Department of Statistics, University of the Western Cape, South AfricaFull Text:
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In this article a leading indicator of the South African business cycle is proposed which combines the traditional quantitative data inputs with qualitative data. The integration is achieved via the Kalman filter technique. It is shown that this model surpasses the traditional approaches in accuracy.
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