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Download fileForecasting self employment in the UK
journal contribution
posted on 2015-03-19, 14:05 authored by George Saridakis, Grammatoula PapaioannouGrammatoula PapaioannouIn this paper we forecast UK self-employment, using annual data for five decades. We use the autoregressive moving average (ARMA) methodology to produce a forecast three periods into the future (2014-2016). We also express the ARMA model as a state space model and estimate one-step predictions and dynamic forecasts for the same period. We then compare the univariate forecasts with multivariate multi-step ahead forecasts using a vector autoregressive (VAR) methodology. Comparing the multivariate forecasts with the univariate forecasts, we observe that both point to an increase in UK enterprise activity in the future, with the increase being sharper in the former.
History
School
- Business and Economics
Department
- Business
Published in
The Empirical Economics LettersVolume
13Issue
9Pages
923 - 930Citation
SARIDAKIS, G. and PAPAIOANNOU, G., 2014. Forecasting self employment in the UK. The Empirical Economics Letters, 13 (9), pp. 923 - 930.Publisher
Empirical Economics LettersVersion
- SMUR (Submitted Manuscript Under Review)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
This article was published in Empirical Economics Letters and is available here with the kind permission of the publisher.ISSN
1681-8997Publisher version
Language
- en