In 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 Letters
Volume
13
Issue
9
Pages
923 - 930
Citation
SARIDAKIS, G. and PAPAIOANNOU, G., 2014. Forecasting self employment in the UK. The Empirical Economics Letters, 13 (9), pp. 923 - 930.
Publisher
Empirical Economics Letters
Version
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
2014
Notes
This article was published in Empirical Economics Letters and is available here with the kind permission of the publisher.