Prediction of Unemployment Rates with Time Series and Machine Learning Techniques

Author:

Katris ChristosORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Reference63 articles.

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2. Abramowitz, M., & Stegun, I. A. (1972). Handbook of mathematical functions with formulas, graphs, and mathematical tables. In National Bureau of Standards Applied Mathematics Series (Vol. 55). Washington, D.C: U.S. Government Printing Office.

3. Aiken, M. (1996). A neural network to predict civilian unemployment rates. Journal of International Information Management,5(1), 3.

4. Baillie, R. T., Chung, C. F., & Tieslau, M. A. (1996). Analysing inflation by the fractionally integrated ARFIMA–GARCH model. Journal of Applied Econometrics,11, 23–40.

5. Barndorff-Nielsen, O. (1977). Exponentially decreasing distributions for the logarithm of particle size. Proceedings of the Royal Society A,353(1674), 401–419.

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