March 2016
The table below presents the one year ahead forecasts for quarterly (annualised) GDP growth and RPI inflation estimated using data up to Q4-2015. The forecasts are an average of the projection for the four quarters of 2016. The forecasts are derived using 15 econometric models.
The aim is to provide a wide ranging statistical outlook for the UK economy that is largely free from conditioning assumptions and judgement.
Read more on the forecast summary and key highlights for 2017.
Key Highlights:
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UK RGDP is expected to grow by 2.17% in 2016. However, the forecast variance is 0.51 across models.
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UK Inflation is expected to be 1.79% in 2016. However, the forecast variance is 0.90 across models.
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In comparison, UK Treasury Independent Consensus Forecasts are 2.1% and 2.1% for UK RGDP and Inflation.
| RGDP Growth | Inflation | |||
| Mean | Dispersion | Mean | Dispersion | |
| Autoregr. Moving Average | 2.06 | [-1.6 - 5.8] | 2.81 | [-6.7 - 12.5] |
| TVP Factor Augmented VAR | 2.18 | [-3.6 - 8] | 1.84 | [-3.9 - 7.5] |
| Bayesian VAR | 2.55 | [-0.4 - 5.5] | 1.72 | [-5.5 - 9] |
| Fin. Threshold VAR | 2.79 | [0 - 5.6] | 1.86 | [-5.1 - 8.8] |
| Large Bayesian VAR | 2.01 | [-0.7 - 4.7] | 2.01 | [-4.8 - 8.8] |
| Fin. Smooth Transition VAR | 2.20 | [-0.4 - 4.9] | 0.29 | [-6.7 - 7.4] |
| Threshold VAR | 2.69 | [-0.3 - 5.7] | 1.16 | [-6.1 - 8.5] |
| Smooth Transition VAR | 2.99 | [0 - 6] | 3.95 | [-3.7 - 11.5] |
| DSGE | -0.10 | [-24.2 - 23.7] | -0.07 | [-10.7 - 10.6] |
| TVP VAR | 2.43 | [0.1 - 4.7] | 1.74 | [-1.1 - 4.6] |
| Markov Switching VAR | 2.28 | [0.3 - 4.2] | 2.46 | [-2.1 - 7] |
| Mixed Frequency VAR | 1.64 | [-2.1 - 5.4] | 1.54 | [-4.3 - 7.5] |
| Unobserved Component SV | 1.96 | [-0.4 - 4.5] | 1.50 | [-2.1 - 5] |
| BVAR Common SV | 2.35 | [0.8 - 3.9] | 2.12 | [-0.8 - 5.1] |
| BVAR t Disturbances | 2.52 | [0.1 - 5] | 1.88 | [-3.3 - 7] |
| Average | 2.17 | 1.79 | ||
| Highest | 2.99 | 3.95 | ||
| Lowest | -0.10 | -0.07 | ||
| Variance | 0.51 | 0.90 | ||
| Average: Average of forecasts across Cremfi Forecast. Project Models | ||||
| Dispersion: 10% - 90% Quantiles of Forecast Distribution. TVP: Time Varying Parameter, | ||||
| DSGE: Dynamic Stochastic General Equilibrium, VAR: Vector Autoregressive, SV: Stochastic Volatility | ||||