PROSPECTS FOR THE UK ECONOMY.
Kara, Amit ; Hantzsche, Arno ; Lennard, Jason 等
Box A. The Brexit assumptions underpinning our forecasts Recent developments in Brexit negotiations have not materially changed the outlook for the UK's exit from the European Union. We maintain our central forecast scenario of a 'soft' Brexit, with an elevated level of downside risk. There remains a high degree of uncertainty about the UK's future relationship with the EU. In March 2018, EU and UK negotiators published a draft legal text of the Phase I agreement, which will be part of the final withdrawal treaty, under the provision that nothing is agreed until everything is agreed. The text confirms that there will be a 21-month transition period after the UK exits the EU in March 2019 during which the country remains bound by regulations of the single market and customs union, including free movement of labour and budgetary contributions, but is free to negotiate new trade deals. To avoid a hard border between the Republic of Ireland and Northern Ireland, the draft text includes a backstop solution, which would effectively keep Northern Ireland in the single market and customs union should alternative, 'technical' solutions fail to materialise. In our view, a 'soft' Brexit therefore is the most likely outcome. The specific assumptions in our central forecast are as follows: * UK trade and investment: We assume the UK maintains a close but not frictionless trading relationship with the EU. This also reflects the Prime Minister's expectation that "people need to face up to some hard facts" and "life is going to be different". That less comprehensive relationship is reflected by negative residuals to the export and import volume equations as well as to the investment equation, given that less trade and higher uncertainty will likely weigh down on investment spending by UK-based firms and foreign direct investment. * Productivity: The smaller degree of competition due to lower trade volumes, less investment and a potential reduction in skilled migration could drive productivity lower in the long run. Effects on labour productivity are likely to materialise only with a long lag and may be ambiguous in the short run if employment reduces as a result of Brexit. We have not explicitly introduced a Brexit-related productivity shock into our forecast, which therefore constitutes a key downside risk to our forecast. * Fiscal contributions: Regarding the UK's financial contributions to the EU budget, a payments schedule is yet to be decided. The British government has already announced that it would seek associate membership in EU agencies, which would require financial contributions to be made, in addition to payments towards the 'divorce bill'. We have, as a result, adopted the latest OBR fiscal projections for EU contributions and assumed that the UK continues to make contributions beyond 2020 as if it were a member of the EU. The risk of a more pessimistic scenario remains high. In our last Review we reported estimates for a case in which negotiations fail and the UK moves to a WTO-style trading relationship on exit. Our results show that this would cause a mild recession within one year and real GDP per head would be some 2,000 [pounds sterling] lower relative to our 'soft' Brexit case after a decade. In this Review, Erken et al. (2018) provide a more pessimistic view: their headline result for a 'hard' Brexit is that cumulative GDP growth could be 18 percentage points lower by 2030 compared to a scenario in which the UK remains in the EU. NOTES (1) See also Hantzsche, A. and Kara, A. (2018), 'Deal, or no deal? The 2,000 [pounds sterling] question', NIESR blog, 16 February 2018. (2) Erken, H., Hayat, R., Prins, C., Heijmerikx and de Vreede I. (2018), 'Measuring the permanent costs of Brexit', National Institute Economic Review, 244, pp. 46-55. This box was prepared by Arno Hantzsche and Amit Kara.
Box B. Decomposing wages: the productivity gap persists Ten years from the crisis, average real wages are growing considerably below the pre-crisis average across the OECD and in the UK in particular. We estimate that UK real wages are around 20 per cent below a continuation of their pre-crisis trend, similar to the shortfall in productivity. This underperformance in real wages is even more striking against a backdrop of record high employment levels and a record low unemployment rate. The gap has stirred a debate in the UK and elsewhere on the relevance of the Phillips curve, which illustrates the relationship between wages and unemployment. In this box we estimate a wage equation for the G7 economies. We show that a wage curve that is augmented with a measure of productivity helps explain the weakness in wage growth. Productivity grew by an annual average of 1.5 per cent in the five years before the crisis across the G7; the average of the past five years is half of that. (1) This entails a shift in the Phillips Curve--for an unchanged level of the unemployment rate we expect a lower wage growth. Our regression estimates suggest that other factors that contribute to wage developments in the G7 are labour market slack and inflation expectations. Taking all these competing explanations together, we show that productivity is by far the most important contributor to low wage growth in the G7 and also for the UK. Data and model description We use annual data for G7 countries between 1990 and 2016, collected from the OECD (www.data.oecd.org). As the dependent variable, we use the annual growth rate in nominal labour compensation per hour worked in local currency, which includes gross wages and salaries as well as employers' social security contributions. For regressors, we use the deviation of the unemployment rate from a five-year moving average. The inflation measure is the year-on-year growth rate of the harmonised index of consumer prices. The augmented model includes a productivity measure which is expressed as output per hour worked. Another model specification includes a labour market slack indicator, such as the share of involuntary part-time workers out of total employees. We perform the analysis at the aggregate level instead of differentiating by sectors because of the concern that people frequently move across sectors, preventing a clear separation between sectors. The baseline model is as below: [[pi].sup.w.sub.i,t] = [[alpha].sub.i] + [[beta].sub.1][[pi].sup.w.sub.i,t-1] + [[beta].sub.2][[pi].sub.i,t-1] + [[beta].sub.3] ([U.sub.i,t] - [[bar.U].sub.i,t]) + [[epsilon].sub.it] (1) where i is country and t is time, [[pi].sup.w] is year-on-year growth in compensation per hour (wage inflation) (2), [pi] is price inflation, and U is the unemployment rate and U is a five-year moving average rate. Our preferred specification augments the equation above with productivity growth (prod): [[pi].sup.w.sub.i,t] = [[alpha].sub.i] + [[beta].sub.1][[pi].sup.w.sub.i,t-1] + [[beta].sub.2][[pi].sub.i,t-1] + [[beta].sub.3] ([U.sub.i,t] -[[bar.U].sub.i,t]) + [[beta].sub.4][prod.sub.i,t] +[[epsilon].sub.it] (2) Our results are shown in table Bl. Consistent with IMF (2017) and Anderton et al. (2017), we find that an increase in unemployment by I percentage point leads to a decrease in wage growth by around 0.4 percentage points ceteris paribus. An equivalent increase in productivity growth leads to a rise in wage inflation of around I according to our key model specification. Using the share of involuntary workers for total workers in place of the unemployment rate (3) yields a smaller decrease in wage inflation compared to the unemployment rate. Finally, wages are relatively flexible and do not show too much persistence as captured by the coefficient on the lag of wages. UK wage growth story Using the results from the G7 panel regression (model specification II), Figure B2 shows the percentage point contributions of each of the competing factors to UK wage dynamics. Productivity made a large positive contribution to wage growth up until 2007 while it has been almost nil ever since. The recent uptick in wages in the second half of last year came hand in hand with productivity growth reaching its highest reading in six years. Unemployment dragged wage growth lower from 2008 until 2010 and added to wage inflation since 2014. The negative residuals in the years from 2010 are likely due to the cap on public sector wages introduced that year. Recent NIESR research has estimated that public sector wages had fallen more than 3 per cent below their equilibrium level in 2016-17 (Dolton et al, 2018). The period from 2017 onwards is based on our newly published forecasts until 2022. Accordingly, we expect a gentle rise in nominal wages, in line with a soft recovery in productivity, while the unemployment rate stabilises at a slightly higher level than where it currently stands. NOTES (1) For a detailed analysis of the underlying causes of the productivity puzzle see e.g. Kazalova and Naisbitt (2018), Chadha et al. (2017). (2) We use nominal wage growth instead of real in line with other studies such as IMF (2018), Mojon and Ragot (2018) and Bell and Blanchflower (2018). We use lagged inflation as a regressor as a proxy for inflation expectations, in line with adaptive expectations. (3) We also include the unemployment rate together with our proxy for underemployment and the results are not significandy different. REFERENCES Anderton, R., Hantzsche, A., Savsek, S. and Toth, M. (2017), 'Sectoral wage rigidities and labour and product market institutions in the Euro Area', Open Economies Review, 28, pp. 923-65. Bell, D.N.F. and Blanchflower, D.G. (2018), 'Underemployment and the lack of wage pressure in the UK', National Institute Economic Review, 243. Chadha, J., Kara, A. and Labonne, P. (2017), 'The financial foundations of the productivity puzzle', National Institute Economic Review, 241. Dolton, P., Hantzsche, A. and Kara, A. (2018), 'Follow the Leader? The interaction between public and private sector wage growth in the UK', presented at Royal Economic Society annual conference, March 2018. Gordon, R. (2012), 'Is US economic growth over? Faltering innovation confronts the six headwinds', NBER Working Paper No. 18315. Kazalova, Y. and Naisbitt, B. (2018), 'Disappointing productivity growth: an international dimension', National Institute Economic Review, 243. Mojon, B. and Ragot, X. (2018), The labor supply of baby-boomers and low-flation', Sciences Po OFCE working paper, 09, 2018/01. World Economic Outlook (2017), 'Seeking sustainable growth: short-term recovery, long-term challenges, ch. 2, in Recent Wage Dynamics in Advanced Economics: Drivers and Implications, International Monetary Fund. This box was prepared by Amit Kara, Marta Lopresto and Rebecca Piggott.
Table B1. Estimation of wage Phillips curves I II Lagged wage inflation 0.311 *** 0.205 ** Unemployment rate--deviations -0.358 *** -0.453 *** from trend Lagged Inflation Rate 0.350 ** 0.342 ** Trend productivity growth rate 0.972 ** Involuntary part-time workers Error correction term Constant 0.186 -0.509 Adjusted R2 0.4557 0.516 N 155 150 III IV Lagged wage inflation 0.303 *** 0.179 * Unemployment rate--deviations -0.449 *** from trend Lagged Inflation Rate 0.261 * -0.014 Trend productivity growth rate 0.541 *** 1.168 ** Involuntary part-time workers -0.052 ** -0.142 Error correction term Constant 3.34 ** 0.080 Adjusted R2 0.504 0.402 N 141 102 Notes: the sample is in annual frequency and includes the G7 countries from 1990 to 2016. According to the Pesaran (2007) and Maddala andWu (1999) Panel unit root tests--H0: the series has one unit root--the dependent variable is stationary as the tests yields a P-value of 0.00. Country and time fixed effects are used throughout all model specifications. The unemployment rate is expressed as the deviations from its five-year moving average rate. Trend productivity growth is computed as a five-year moving average. The error correction term includes the lagged level of wages and productivity as defined in NiGEM. * p < 0.10, ** p < 0.05, *** p < 0.01.
Box C. The fiscal policy conditioning assumption Selecting the path for fiscal expenditure and taxes is a critical decision for a modeller when assessing the prospects for overall (or aggregate) demand in the economy. Unlike the other main components of demand: consumption, investment and net trade, fiscal policy can be said to have a substantially autonomous component. And so in modelling aggregate demand, decisions about the path of public expenditure and the extent to which it is financed by debt issuance or taxes can be set more or less exogenously with respect to other developments in the economy. In the language of economics it is a control rather than behavioural variable. The choice on fiscal policy will have implications for overall demand and also the path of monetary policy, as it may affect the balance between aggregate demand and supply. To date the National Institute of Economic and Social Research has used the same assumptions on government spending as the OBR and the Bank of England by conditioning on announced plans by the Chancellor for spending. But we do not take the OBR tax revenue projections and instead allow our fiscal solvency rule to determine tax revenue. The adoption of the same fiscal expenditure assumption has meant that the differences in judgements about the evolution of the economy have largely derived from the response of behavioural variables to changes in the domestic economy and key judgements about the rest of the world. But we are now allowing another channel, that of fiscal policy, to speak. Work by the Institute (see Commentary in this Review) suggests that government expenditure as both consumption and investment may have fallen below the requirements of the economy. For this forecast we have therefore assumed that public expenditure will be higher from 2019-21 and have focussed on a stronger path for government consumption and its deflator but not on government investment. We forecast an annual rate of growth of nominal government consumption some 3 percentage points higher than in the OBR's forecast over the next three years. This pick-up results from a larger increase in real spending but also because we expect the cost of public services to rise, in particular public sector pay. As a result, we forecast total managed expenditure to remain stable as a share of GDP over the forecast horizon, at just below its postwar average of some 39 per cent. Given that we assume no adjustments to the government's taxation plans and no substantial productivity increases in the near term, our fiscal forecast implies that the public sector deficit remains just above 2 per cent of GDP. As a consequence, public sector net debt continues to stay above 85 per cent of GDP and we therefore project a breach in the government's current fiscal rules. This box was prepared by Jagjit Chadha.
Box D. Forecasting with a benchmark: the Warwick Business School forecasting system We provide benchmark forecasts to help understand and contextualise the forecasts presented in this Review. The box presents density forecasts for UK GDP annual growth and inflation, and reports the probabilities of a range of output and inflation events occurring, as calculated using the Warwick Business School Forecasting System (WBSFS). (1) To reflect the uncertainties inherent in economic forecasting, and following the practice of the NIESR and other forecasters such as the Bank of England and OBR, the WBSFS provides probabilistic forecasts. The WBSFS forecasts are produced by explicitly combining density forecasts from a set of twenty four, statistically motivated, univariate and multivariate econometric models commonly used in the academic literature. The use of combination forecasts or model averaging reflects the view, supported by research (e.g., see Bates and Granger, 1969, Wallis, 2011, Geweke and Amisano, 2012, Rossi, 2013), that because any single model may be mis-specified there may be gains from the use of combination forecasts for measuring probabilities. Comparison of the Institute's forecasts with the probabilistic forecasts from the WBSFS may be interpreted as providing an approximate indicator of the importance of expert judgement, which may include views on the underlying structure of the macroeconomy. This is because the WBSFS forecasts are computed by exploiting regularities in past data with the aid of automated time-series models; they do not take an explicit, structural or theoretical view about how the macroeconomy works; and they do not rely on (subjective) expert judgement to the same degree as those presented by the Institute. The forecasts from the WBSFS are not altered once produced; they are deemed 'simply' to represent the data's view of what will happen to the macroeconomy in the future. Figure Dl presents WBSFS's latest (as of 19 April 2018) probabilistic forecasts for real GDP growth and inflation--defined as year-on-year growth rates for 2018Q4 and 2019Q4--as histograms. The information set used to produce these forecasts includes information on GDP growth up to 2017Q4 and the latest CPI inflation estimate for March 2018. Table Dl extracts from these histogram forecasts the probabilities of specific output growth and inflation events. The events considered are the probability of output growth being less than 0 per cent, I per cent and 2 per cent, and of inflation lying outside the 1-3 per cent target range (i.e., the probability of the Bank of England's Governor having to write a letter explaining how and why inflation has breached its target range). Also reported are the individual probabilities of inflation being less than I per cent and greater than 3 per cent, to indicate which side of the target range is most likely to be breached. Inspection of the forecasts for output growth for 2018Q4 in table Dl suggests that, compared with our forecasts made one quarter ago, relatively little has changed. The most likely range for the forecast remains for economic growth between I per cent and 2 per cent in 2018Q4. But looking out further to 2019Q4, a higher growth between 2 per cent and 3 per cent is now marginally more likely. As table Dl shows, the difference between the forecasts for 20I8Q4 and 20I9Q4 is explained by modest downward revisions to the risk of 'low' growth (growth less than I per cent); the probability of growth less than I per cent is 26 per cent for 2018Q4 and falls to 20 per cent for 2019Q4. Similarly, for inflation, our forecasts are little changed relative to those published in this Review one quarter ago. An inflation rate between 2 per cent and 3 per cent is the most likely outcome in the year ending 2018Q4, with a 38 per cent probability (up by just I per cent from the previous estimate of 37 per cent). But the WBSFS predicts that inflationary pressures marginally dissipate in 2019Q4, with a probability of around 27 per cent of inflation falling in the I -2 per cent range and 31 per cent in the 2-3 per cent range. In comparison with our previous forecasts, the probability of inflation above 3 per cent has increased from 33 per cent to 35 per cent in 2018Q4 and from 27 per cent to 30 per cent for 2019Q4. NOTE (1) WBSFS forecasts for UK output growth and inflation have been released every quarter since November 2014. Details of the releases are available at https://www2.warwick.ac.uk/fac/soc/wbs/subjects/emf/forecasting/ and a description of the models in the system and of the indicators employed is available at https://www2.warwick.ac.uk/fac/soc/wbs/subjects/emf/forecasting/ summary_of_wbs_forecastng_system.pdf. REFERENCES Bates, J.M. and Granger, C.W. (1969), 'The combination of forecasts', Operational Research Quarterly, 20, pp. 451-68. Geweke, J. and Amisano, G. (2012), 'Predictions with misspecified models', American Economic Review, Papers and Proceedings, 102, pp. 482-6. Rossi, B. (2013), 'Advances in forecasting under model instability' in Elliott, G. and Timmermann, A. (eds), Handbook of Economic Forecasting, Volume 28, Elsevier Publications, pp. 1203-324. Wallis, K.F. (2011), 'Combining forecasts--forty years later', Applied Financial Economics, 21, pp. 33-41.
Table D1. Probability event forecasts for 2018Q4 and 2019Q4 annualised % real GDP growth and CPI inflation (extracted from the WBSFS forecast histograms) Real GDP growth (%, p.a.) Year Prob Prob Prob (growth<0%) (growth<1%) (growth<2%) Updated Forecasts (April 2018) 2018Q4 7% 26% 58% 2019Q4 8% 20% 49% Previous Forecasts (January 2018) 2018Q4 9% 27% 56% 2019Q4 8% 21% 48% CPI inflation (%, p.a.) Year Prob Prob Prob (letter) (CPI<l%) (CPI>3%) Updated Forecasts (April 2018) 2018Q4 41% 6% 35% 2019Q4 43% 13% 30% Previous Forecasts (January 2018) 2018Q4 41% 8% 33% 2019Q4 44% 17% 27% The forecast update shifts the inflation distribution marginally to the right, but where the probability of being in the 1-3 per cent range stays the same at 59 per cent, as the downside risks to inflation have decreased by the same amount as the upside risks have increased. The implication drawn is that the lower CPI inflation estimate for March 2018 has made very little difference to our inflation forecasts. This Box was prepared by Ana Galvao, Anthony Garratt and James Mitchell.
Table A1. Exchange rates and interest rates UK exchange rates Effective Dollar Euro FTSE 2011 = 100 All-share index 2012 104.1 1.6 1.2 2617.7 2013 102.6 1.6 1.2 3006.2 2014 110.2 1.7 1.2 3136.6 2015 116.3 1.5 1.4 3150.1 2016 104.8 1.4 1.2 3102.0 2017 99.3 1.3 1.1 3542.4 2018 103.3 1.4 1.1 3497.5 2019 103.9 1.4 1.1 3473.6 2020 104.0 1.5 1.1 3508.3 2021 104.1 1.5 1.1 3592.5 2022 104.2 1.5 1.1 3704.8 2017 Q1 98.9 1.2 1.2 3467.5 2017 Q2 100.0 1.3 1.2 3549.2 2017 Q3 98.3 1.3 1.1 3548.3 2017 Q4 100.1 1.3 1.1 3604.5 2018 Q1 102.0 1.4 1.1 3552.5 2018 Q2 103.8 1.4 1.2 3456.4 2018 Q3 103.8 1.4 1.2 3478.6 2018 Q4 103.8 1.4 1.2 3502.5 2019 Q1 103.9 1.4 1.2 3487.4 2019 Q2 103.9 1.4 1.1 3470.3 2019 Q3 103.9 1.4 1.1 3465.1 2019 Q4 104.0 1.4 1.1 3471.7 Percentage changes 2012/2011 4.2 -1.1 7.0 1.2 2013/2012 -1.5 -1.3 -4.5 14.8 2014/2013 7.4 5.3 5.4 4.3 2015/2014 5.6 -7.2 11.1 0.4 2016/2015 -9.9 -11.4 -11.2 -1.5 2017/2016 -5.2 -4.9 -6.7 14.2 201812017 4.1 9.4 0.1 -1.3 2019/2018 0.6 1.4 -0.2 -0.7 2020/2019 0.1 1.6 -1.0 1.0 2021/2020 0.1 1.5 -1.1 2.4 2022/2021 0.0 1.4 -1.1 3.1 2017Q4/2016Q1 2.0 6.9 -2.1 9.2 2018Q4/2017Q1 3.7 6.8 1.7 -2.8 2019Q4/2018Q1 0.2 1.5 -0.9 -0.9 Interest rates 3-month 10-year World (a) Bank rates gilts Rate (b) 2012 0.8 1.8 1.2 0.5 2013 0.5 2.4 0.9 0.5 2014 0.5 2.5 0.9 0.5 2015 0.6 1.8 0.9 0.5 2016 0.5 1.3 0.9 0.3 2017 0.4 1.2 1.2 0.4 2018 0.8 1.6 1.5 0.8 2019 1.3 2.3 1.9 1.3 2020 1.8 2.8 2.3 1.8 2021 2.2 3.2 2.6 2.1 2022 2.5 3.6 2.8 2.5 2017 Q1 0.4 1.3 1.0 0.3 2017 Q2 0.3 1.0 1.1 0.3 2017 Q3 0.3 1.2 1.2 0.3 2017 Q4 0.5 1.3 1.3 0.4 2018 Q1 0.6 1.5 1.4 0.5 2018 Q2 0.7 1.4 1.5 0.5 2018 Q3 0.8 1.6 1.6 0.7 2018 Q4 0.9 1.8 1.7 0.8 2019 Q1 1.1 2.0 1.7 0.9 2019 Q2 1.2 2.2 1.8 1.0 2019 Q3 1.3 2.3 1.9 1.2 2019 Q4 1.4 2.5 2.1 1.3 Percentage changes 2012/2011 2013/2012 2014/2013 2015/2014 2016/2015 2017/2016 201812017 2019/2018 2020/2019 2021/2020 2022/2021 2017Q4/2016Q1 2018Q4/2017Q1 2019Q4/2018Q1 Notes: We assume that bilateral exchange rates for the first quarter of this year are the average of information available to 12 January 2018. We then assume that bilateral rates remain constant for the following two quarters before moving in line with the path implied by the backward-looking uncovered interest rate parity condition based on interest rate differentials relative to the US. (a) Weighted average of central bank intervention rates in OECD economies, (b) End of period. Table A2. Price indices 2015-100 Unit Imports Exports World labour deflator deflator oil price costs ($) (a) 2012 98.3 110.1 105.3 112.5 2013 100.2 111.0 108.3 109.1 2014 99.3 106.3 105.3 99.6 2015 100.0 100.0 100.0 52.8 2016 102.2 103.3 104.8 43.4 2017 104.5 109.4 111.3 53.5 2018 106.9 111.2 109.8 64.8 2019 109.9 112.9 111.9 67.6 2020 112.5 114.4 114.0 70.5 2021 114.7 116.3 116.1 70.7 2022 116.6 118.8 118.6 71.0 Percentage changes 2012/2011 0.8 -0.7 0.2 1.8 2013/2012 1.9 0.8 2.9 -3.0 2014/2013 -0.9 -4.2 -2.7 -8.7 2015/2014 0.7 -5.9 -5.1 -47.0 2016/2015 2.2 3.3 4.8 -17.7 2017/2016 2.3 5.9 6.2 23.3 2018/2017 2.3 1.6 -1.3 21.0 2019/2018 2.7 1.6 1.9 4.4 2020/2019 2.4 1.3 1.8 4.2 2021/2020 2.0 1.7 1.9 0.4 2022/2021 1.6 2.2 2.1 0.4 GDP Consump- deflator Retail Consumer tion (market price prices deflator prices) index index 2012 95.3 96.0 93.9 96.1 2013 97.5 97.9 96.7 98.5 2014 99.4 99.5 99.0 99.9 2015 100.0 100.0 100.0 100.0 2016 101.4 102.0 101.7 100.7 2017 103.4 104.0 105.4 103.4 2018 105.6 105.3 109.5 105.9 2019 108.1 107.9 113.8 108.1 2020 110.5 110.6 117.8 110.2 2021 112.9 113.2 122.0 112.4 2022 115.5 115.8 126.1 114.7 Percentage changes 1.6 3.2 2.9 2012/2011 2.1 2013/2012 2.4 1.9 3.0 2.6 2014/2013 1.9 1.7 2.4 1.4 2015/2014 0.6 0.5 1.0 0.1 2016/2015 1.4 2.0 1.7 0.7 2017/2016 2.0 2.0 3.6 2.7 2018/2017 2.2 1.2 3.9 2.4 2019/2018 2.4 2.5 3.9 2.1 2020/2019 2.2 2.4 3.5 2.0 2021/2020 2.2 2.3 3.6 2.0 2022/2021 2.3 2.3 3.4 2.0 Notes: (a) Per barrel, average of Dubai and Brent spot prices. Table A3. Gross domestic product and components of expenditure billion [pounds sterling], 2015 prices Final consumption Gross capital expenditure formation Households General Gross fixed Changes in & NPISH (a) govt. investment inventories (b) 2012 1162.4 350.4 275.2 -0.4 2013 1182.5 351.1 284.6 3.0 2014 1207.6 359.9 304.7 5.5 2015 1238.5 362.1 313.2 7.4 2016 1274.9 365.1 318.8 4.8 2017 1296.0 365.6 331.7 -2.8 2018 1310.0 369.4 337.4 1.5 20/9 1331.0 374.6 348.6 1.5 2020 1350.8 383.1 361.4 1.5 2021 1370.9 393.3 370.3 1.5 2022 1390.0 404.5 378.3 1.5 Percentage changes 2012/2011 1.6 1.3 2.1 2013/2012 1.7 0.2 3.4 2014/2013 2.1 2.5 7.1 2015/2014 2.6 0.6 2.8 2016/2015 2.9 0.8 1.8 2017/2016 1.7 0.1 4.0 2018/2017 1.1 1.0 1.7 2019/2018 1.6 1.4 3.3 2020/2019 1.5 2.3 3.7 2021/2020 1.5 2.7 2.5 2022/2021 1.4 2.8 2.1 Decomposition of growth in GDP 2012 1.1 0.3 0.3 0.2 2013 1.1 0.0 0.5 0.2 2014 1.4 0.5 1.1 0.1 2015 1.7 0.1 0.5 0.1 2016 1.9 0.2 0.3 -0.1 2017 1.0 0.1 0.5 -0.4 2018 0.8 0.2 0.4 0.0 2019 0.7 0.1 0.6 0.0 2020 0.8 0.1 0.6 0.0 2021 0.9 0.2 0.5 0.0 2022 0.9 0.2 0.4 0.0 Domestic Total Total final demand exports expenditure (c) 2012 1761.7 475.9 2238.0 2013 1810.0 479.9 2289.8 2014 1875.4 492.7 2367.5 2015 1921.1 517.2 2438.3 2016 1963.6 529.2 2492.8 2017 1990.5 559.1 2549.6 2018 2018.2 573.0 2591.2 20/9 2055.6 590.0 2645.7 2020 2096.8 607.7 2704.5 2021 2136.1 625.8 2761.9 2022 2174.2 644.2 2818.5 Percentage changes 2012/2011 2.3 0.2 1.8 2013/2012 2.7 0.8 2.3 2014/2013 3.6 2.7 3.4 2015/2014 2.4 5.0 3.0 2016/2015 2.2 2.3 2.2 2017/2016 1.4 5.7 2.3 2018/2017 1.4 2.5 1.6 2019/2018 1.9 3.0 2.1 2020/2019 2.0 3.0 2.2 2021/2020 1.9 3.0 2.1 2022/2021 1.8 2.9 2.0 Decomposition of growth in GDP 2012 2.2 0.1 2.3 2013 2.8 0.3 3.0 2014 3.6 0.8 4.3 2015 2.5 1.3 3.8 2016 2.2 0.6 2.9 2017 1.2 1.6 2.8 2018 1.4 1.1 2.6 2019 1.5 1.1 2.5 2020 1.6 0.9 2.5 2021 1.6 0.9 2.5 2022 1.5 0.9 2.3 Total Net GDP at imports trade market (c) prices 2012 485.2 -9.3 1754.7 2013 500.5 -20.5 1790.8 2014 522.8 -30.1 1845.4 2015 549.5 -32.4 1888.7 2016 576.1 -46.9 1925.3 2017 594.6 -35.5 1959.7 2018 606.6 -33.6 1987.5 20/9 624.7 -34.7 2021.0 2020 648.1 -40.4 2056.4 2021 671.1 -45.3 2090.8 2022 691.7 -47.4 2126.8 Percentage changes 2012/2011 2.7 1.5 2013/2012 3.1 2.1 2014/2013 4.5 3.1 2015/2014 5.1 2.3 2016/2015 4.8 1.9 2017/2016 3.2 1.8 2018/2017 2.0 1.4 2019/2018 3.0 1.7 2020/2019 3.7 1.8 2021/2020 3.5 1.7 2022/2021 3.1 1.7 Decomposition of growth in GDP 2012 -0.8 -0.7 1.5 2013 -0.9 -0.6 2.1 2014 -1.3 -0.5 3.1 2015 -1.5 -0.1 2.3 2016 -1.4 -0.8 1.9 2017 -0.9 0.7 1.8 2018 -0.7 0.5 1.9 2019 -0.7 0.4 1.9 2020 -0.8 0.1 1.7 2021 -0.9 0.1 1.6 2022 -0.7 0.2 1.6 Notes: (a) Non-profit institutions serving households, (b) Including acquisitions less disposals of valuables and quarterly alignment adjustment, (c) Includes Missing Trader Intra- Community Fraud, (d) Components may not add up to total GDP growth due to rounding and the statistical discrepancy included in GDP Table A4. External sector Exports of Imports of Net goods (a) goods (a) trade in goods (a) billion [billion], 2015 prices (b) 2012 266.9 365.6 -98.7 2013 264.1 375.3 -111.2 2014 272.9 392.0 -119.1 2015 288.8 407.4 -118.6 2016 286.2 425.7 -139.4 2017 306.6 439.9 -133.3 2018 3/9.7 448.8 -129.2 2019 339.2 465.5 -126.3 2020 354.3 485.4 -131.2 2021 367.6 504.6 -137.0 2022 379.8 521.3 -141.4 Percentage changes 2012/2011 -1.7 2.4 2013/2012 -1.0 2.7 2014/2013 3.3 4.4 2015/2014 5.8 3.9 2016/2015 -0.9 4.5 2017/2016 7.1 3.3 2018/2017 4.2 2.0 2019/2018 6.1 3.7 2020/2019 4.5 4.3 2021/2020 3.7 3.9 2022/2021 3.3 3.3 Exports Imports Net of of trade in services services services billion [billion], 2015 prices (b) 2012 208.5 119.3 89.2 2013 216.2 125.0 91.2 2014 220.0 130.7 89.3 2015 228.4 142.1 86.3 2016 242.9 150.4 92.5 2017 252.5 154.7 97.8 2018 253.3 157.7 95.6 2019 250.9 159.2 91.7 2020 253.4 162.7 90.8 2021 258.3 166.5 91.7 2022 264.4 170.4 94.0 Percentage changes 2012/2011 3.3 4.0 2013/2012 3.7 4.8 2014/2013 1.7 4.5 2015/2014 3.8 8.8 2016/2015 6.4 5.8 2017/2016 3.9 2.9 2018/2017 0.3 1.9 2019/2018 -1.0 0.9 2020/2019 1.0 2.2 2021/2020 1.9 2.4 2022/2021 2.4 2.3 Export World Terms of Current price trade (d) traded) balance competitive- ness (c) 2015=100 % of GDP 2012 96.4 88.8 95.6 -4.2 2013 97.2 91.2 97.6 -5.5 2014 100.5 95.4 99.1 -5.3 2015 100.0 100.0 100.0 -5.2 2016 95.9 103.8 101.4 -5.8 2017 93.2 107.4 101.7 -4.1 2018 93.2 112.9 98.7 -4.0 2019 92.3 118.2 99.1 -3.8 2020 91.8 123.0 99.6 -3.9 2021 91.3 127.5 99.8 -3.7 2022 90.9 131.8 99.8 -3.4 Percentage changes 2012/2011 1.6 1.6 0.9 2013/2012 0.8 2.8 2.1 2014/2013 3.4 4.6 1.5 2015/2014 -0.5 4.8 0.9 2016/2015 -4.1 3.8 1.4 2017/2016 -2.8 3.5 0.3 2018/2017 0.0 5.1 -2.9 2019/2018 -0.9 4.8 0.4 2020/2019 -0.6 4.1 0.5 2021/2020 -0.6 3.6 0.2 2022/2021 -0.4 3.4 -0.1 Notes: (a) Includes Missing Trader Intra-Community Fraud, (b) Balance of payments basis, (c) A rise denotes a loss in UK competitiveness, (d) Weighted by import shares in UK export markets, (e) Ratio of average value of exports to imports. Table A5. Household sector Average (a) Compen- Total Gross earnings sation of personal disposable employees income income 2015=100 billion [pounds sterling], current prices 2012 96.0 849.4 1484.0 1166.3 2013 98.7 883.5 1535.1 1208.2 2014 99.0 902.3 1577.9 1243.5 2015 100.0 930.2 1669.0 1317.3 2016 103.2 968.9 1707.1 1338.4 2017 106.2 1008.6 1756.8 1367.9 2018 109.1 1046.8 1823.2 1417.7 2019 112.5 1093.5 1901.5 1477.3 2020 116.2 1139.1 1984.5 1540.5 2021 120.0 1181.3 2068.1 1603.7 2022 123.8 1221.1 2150.6 1666.4 Percentage changes 2012/2011 1.9 2.3 3.8 4.9 2013/2012 2.8 4.0 3.4 3.6 2014/2013 0.4 2.1 2.8 2.9 2015/2014 1.0 3.1 5.8 5.9 2016/2015 3.2 4.2 2.3 1.6 2017/2016 2.9 4.1 2.9 2.2 2018/2017 2.7 3.8 3.8 3.6 2019/2018 3.1 4.5 4.3 4.2 2020/2019 3.3 4.2 4.4 4.3 2021/2020 3.2 3.7 4.2 4.1 2022/2021 3.2 3.4 4.0 3.9 Real Final Saving disposable consumption ratio (c) income (b) expenditure billion [pounds sterling], per cent 2015 prices 2012 1224.2 1162.4 9.3 2013 1238.9 1182.5 8.6 2014 1250.8 1207.6 8.4 2015 1317.2 1238.5 9.2 2016 1320.5 1274.9 7.1 2017 1323.3 1296.0 5.1 2018 1342.5 1310.0 5.5 2019 1366.7 1331.0 5.8 2020 1394.4 1350.8 6.3 2021 1420.2 1370.9 6.6 2022 1443.1 1390.0 6.8 Percentage changes 2012/2011 2.7 1.6 2013/2012 1.2 1.7 2014/2013 1.0 2.1 2015/2014 5.3 2.6 2016/2015 0.2 2.9 2017/2016 0.2 1.7 2018/2017 1.5 1.1 2019/2018 1.8 1.6 2020/2019 2.0 1.5 2021/2020 1.8 1.5 2022/2021 1.6 1.4 House Net prices (d) worth to income ratio (e) 2012 87.6 6.3 2013 89.9 6.2 2014 97.1 6.7 2015 102.9 6.8 2016 110.1 7.3 2017 115.2 7.4 2018 120.4 7.2 2019 123.4 7.0 2020 124.8 6.8 2021 125.7 6.7 2022 126.2 6.6 Percentage changes 2012/2011 0.4 2013/2012 2.6 2014/2013 8.0 2015/2014 6.0 2016/2015 7.0 2017/2016 4.7 2018/2017 4.5 2019/2018 2.5 2020/2019 1.2 2021/2020 0.7 2022/2021 0.4 Notes: (a) Average earnings equals total labour compensation divided by the number of employees, (b) Deflated by consumers' expenditure deflator, (c) Includes adjustment for change in net equity of households in pension funds, (d) Office for National Statistics, mix-adjusted, (e) Net worth is defined as housing wealth plus net financial assets. Table A6. Fixed investment and capital billion [pounds sterling], 2015 prices Gross fixed investment Business Private General investment housing (a) government Total 2012 160.0 58.5 56.7 275.2 2013 164.8 65.2 54.7 284.6 2014 173.2 71.5 60.0 304.7 2015 179.7 75.0 58.5 313.2 2016 178.8 80.7 59.3 318.8 2017 183.2 86.8 61.6 331.7 2018 187.1 88.3 61.9 337.4 2019 193.2 92.1 63.2 348.6 2020 198.3 96.0 67.1 361.4 2021 202.7 99.9 67.8 370.3 2022 205.9 103.8 68.6 378.3 Percentage changes 2012/2011 7.3 -1.6 -7.6 2.1 2013/2012 3.0 11.4 -3.6 3.4 2014/2013 5.1 9.7 9.8 7.1 2015/2014 3.7 4.9 -2.6 2.8 2016/2015 -0.5 7.6 1.3 1.8 2017/2016 2.4 7.6 4.0 4.0 2018/2017 2.1 1.7 0.5 1.7 2019/2018 3.3 4.2 2.1 3.3 2020/2019 2.6 4.2 6.1 3.7 2021/2020 2.2 4.1 1.1 2.5 2022/2021 1.6 3.9 1.2 2.1 Corporate User prone Capital stock cost of share of capital (%) GDP (%) Private Public (b) 2012 13.1 24.0 3226.1 1002.4 2013 12.2 24.0 3176.9 1009.2 2014 12.2 25.1 3216.2 1051.4 2015 11.0 24.5 3251.6 1066.4 2016 10.8 24.2 3304.7 1078.8 2017 11.9 24.2 3349.6 1108.2 2018 12.2 24.5 3396.8 1137.5 2019 12.7 25.2 3450.6 1167.0 2020 12.8 26.1 3509.5 1199.6 2021 13.0 26.7 3572.6 1233.7 2022 13.1 27.3 3638.6 1269.3 Percentage changes 2012/2011 -3.4 -1.0 0.7 0.4 2013/2012 -6.8 0.0 -1.5 0.7 2014/2013 -0.2 4.6 1.2 4.2 2015/2014 -9.8 -2.4 1.1 1.4 2016/2015 -1.8 -1.3 1.6 1.2 2017/2016 10.4 0.0 1.4 2.7 2018/2017 2.1 1.2 1.4 2.6 2019/2018 3.9 3.0 1.6 2.6 2020/2019 0.8 3.3 1.7 2.8 2021/2020 1.8 2.6 1.8 2.8 2022/2021 1.0 2.1 1.8 2.9 Notes: (a) Includes private sector transfer costs of non-produced assets, (b) Including public sector non-financial corporations. Table A7. Productivity and the labour market Thousands Employment Employees Total (a) ILO Labour unemploy- force (b) ment 2012 25213 29697 2572 32269 2013 25515 30045 2474 32519 2014 25962 30755 2026 32781 2015 26505 31284 1781 33064 2016 26760 31727 1633 33360 2017 27068 32057 1480 33537 2018 27341 32326 1396 33721 2019 27694 32470 1413 33883 2020 27930 32535 1514 34050 2021 28057 32613 1604 34216 2022 28102 32758 1626 34383 Percentage changes 2012/2011 0.4 1.1 -0.8 0.9 2013/2012 1.2 1.2 -3.8 0.8 2014/2013 1.7 2.4 -18.1 0.8 2015/2014 2.1 1.7 -12.1 0.9 2016/2015 1.0 1.4 -8.3 0.9 2017/2016 1.2 1.0 -9.4 0.5 2018/2017 1.0 0.8 -5.7 0.6 2019/2018 1.3 0.4 1.2 0.5 2020/2019 0.9 0.2 7.2 0.5 2021/2020 0.5 0.2 5.9 0.5 2022/2021 0.2 0.4 1.3 0.5 Productivity (2015=100) Population Per hour Manufacturing ILO of working unemployment age (c) rate 2012 40507 98.7 100.3 8.0 2013 40552 98.3 100.0 7.6 2014 40683 99.1 100.8 6.2 2015 40873 100.0 100.0 5.4 2016 41031 100.3 100.6 4.9 2017 41156 101.0 102.2 4.4 2018 41275 101.8 106.8 4.1 2019 41396 103.0 112.3 4.2 2020 4/5/7 104.5 116.9 4.4 2021 41638 106.0 121.2 4.7 2022 41760 107.3 125.1 4.7 Percentage changes 2012/2011 -0.1 -0.7 -2.2 2013/2012 0.1 -0.4 -0.4 2014/2013 0.3 0.7 0.9 2015/2014 0.5 1.0 -0.8 2016/2015 0.4 0.3 0.6 2017/2016 0.3 0.6 1.5 2018/2017 0.3 0.8 4.6 2019/2018 0.3 1.2 5.1 2020/2019 0.3 1.5 4.2 2021/2020 0.3 1.4 3.6 2022/2021 0.3 1.3 3.2 Notes: (a) Includes self-employed, government-supported trainees and unpaid family members, (b) Employment plus ILO unemployment, (c) Population projections are based on annual rates of growth from 2014-based population projections by the ONS. Table A8. Public sector financial balance and borrowing requirement billion [pounds sterling], fiscal years 2014-15 2015-16 Current receipts: Taxes on income 385.3 400.7 Taxes on expenditure 232.3 242.6 Other current receipts 37.8 36.2 Total 655.4 679.5 (as a % of GDP) 35.4 35.7 Current expenditure: Goods and services 359.6 363.9 Net social benefits paid 230.6 232.8 Debt interest 37.0 38.3 Other current expenditure 50.2 49.4 Total 677.3 684.3 (as a % of GDP) 36.6 35.9 Depreciation 39.0 40.1 Surplus on public sector current budget (a) -61.0 -44.9 (as a % of GDP) -3.3 -2.4 Gross investment 76.0 75.0 Net investment 37.0 34.9 (as a % of GDP) 2.0 1.8 Total managed expenditure 753.3 759.3 (as a % of GDP) 40.7 39.9 Public sector net borrowing 97.9 79.8 (as a % of GDP) 5.3 4.2 Financial transactions 4.9 15.9 Public sector net cash requirement 93.0 63.9 (as a % of GDP) 5.0 3.4 Public sector net debt (% of GDP) 83.3 83.1 GDP deflator at market prices (2015=100) 99.7 100.4 Money GDP 1852.1 1904.6 Financial balance under Maastricht (% of GDP) (b) -5.4 -4.2 Gross debt under Maastricht (% of GDP) (b) 87.4 88.2 2016-17 2017-18 Current receipts: Taxes on income 430.4 447.6 Taxes on expenditure 251.5 260.6 Other current receipts 37.0 36.1 Total 719.0 743.2 (as a % of GDP) 36.2 36.3 Current expenditure: Goods and services 371.3 376.6 Net social benefits paid 233.7 235.7 Debt interest 40.4 44.7 Other current expenditure 49.6 52.3 Total 694.9 709.2 (as a % of GDP) 35.0 34.6 Depreciation 40.8 40.9 Surplus on public sector current budget (a) -16.7 -7.0 (as a % of GDP) -0.9 -0.3 Gross investment 79.9 89.0 Net investment 39.1 48.0 (as a % of GDP) 2.0 2.3 Total managed expenditure 774.8 798.2 (as a % of GDP) 39.0 39.0 Public sector net borrowing 55.9 55.0 (as a % of GDP) 2.8 2.7 Financial transactions -65.0 -75.4 Public sector net cash requirement 120.8 130.4 (as a % of GDP) 6.1 6.4 Public sector net debt (% of GDP) 85.7 87.9 GDP deflator at market prices (2015=100) 102.6 104.2 Money GDP 1985.0 2048.6 Financial balance under Maastricht (% of GDP) (b) -3.0 -1.9 Gross debt under Maastricht (% of GDP) (b) 88.2 86.0 2018-19 2019-20 Current receipts: Taxes on income 471.1 494.1 Taxes on expenditure 271.1 283.2 Other current receipts 34.2 33.8 Total 768.0 805.7 (as a % of GDP) 36.3 36.5 Current expenditure: Goods and services 385.9 399.7 Net social benefits paid 232.9 237.9 Debt interest 45.6 48.1 Other current expenditure 57.4 68.0 Total 721.7 753.7 (as a % of GDP) 34.1 34.2 Depreciation 40.9 42.2 Surplus on public sector current budget (a) 5.4 9.8 (as a % of GDP) 0.3 0.4 Gross investment 95.3 100.8 Net investment 54.4 58.6 (as a % of GDP) 2.6 2.7 Total managed expenditure 817.0 854.5 (as a % of GDP) 38.7 38.8 Public sector net borrowing 48.9 48.8 (as a % of GDP) 2.3 2.2 Financial transactions -6.3 -10.5 Public sector net cash requirement 55.2 59.3 (as a % of GDP) 2.6 2.7 Public sector net debt (% of GDP) 88.2 88.4 GDP deflator at market prices (2015=100) 105.9 108.6 Money GDP 2113.8 2204.7 Financial balance under Maastricht (% of GDP) (b) -4.0 -3.8 Gross debt under Maastricht (% of GDP) (b) 86.1 84.6 2020-21 2021-22 Current receipts: Taxes on income 515.3 540.4 Taxes on expenditure 293.7 304.6 Other current receipts 35.3 36.7 Total 838.5 875.7 (as a % of GDP) 36.5 36.6 Current expenditure: Goods and services 417.4 437.5 Net social benefits paid 246.8 256.4 Debt interest 50.8 53.9 Other current expenditure 70.7 73.0 Total 785.7 820.8 (as a % of GDP) 34.2 34.3 Depreciation 43.5 44.9 Surplus on public sector current budget (a) 9.4 10.0 (as a % of GDP) 0.4 0.4 Gross investment 109.1 110.6 Net investment 65.7 65.7 (as a % of GDP) 2.9 2.7 Total managed expenditure 894.8 931.4 (as a % of GDP) 39.0 39.0 Public sector net borrowing 56.3 55.6 (as a % of GDP) 2.5 2.3 Financial transactions 31.2 51.3 Public sector net cash requirement 25.1 4.3 (as a % of GDP) 1.1 0.2 Public sector net debt (% of GDP) 87.2 85.1 GDP deflator at market prices (2015=100) 111.2 113.8 Money GDP 2297.2 2389.7 Financial balance under Maastricht (% of GDP) (b) -4.0 -4.0 Gross debt under Maastricht (% of GDP) (b) 83.5 82.4 Notes: These data are constructed from seasonally adjusted national accounts data. This results in differences between the figures here and unadjusted fiscal year data. Data exclude the impact of financial sector interventions, but include flows from the Asset Purchase Facility of the Bank of England, (a) Public sector current budget surplus is total current receipts less total current expenditure and depreciation, (b) Calendar year. Table A9. Saving and investment As a percentage of GDP General Households Companies government Saving Invest- Saving Invest- Saving Invest- ment ment ment 2012 6.7 3.4 9.2 9.7 -4.4 2.6 2013 6.2 3.8 7.2 10.1 -2.7 2.5 2014 6.0 3.9 8.4 10.5 -2.6 2.6 2015 6.6 3.9 6.4 10.5 -1.2 2.5 2016 5.0 4.2 6.5 10.3 -0.4 2.5 2017 3.6 4.4 8.6 10.1 0.8 2.5 2018 3.9 4.5 8.9 10.4 0.8 2.6 2019 4.0 4.6 8.8 10.5 1.0 2.6 2020 4.4 4.7 8.9 10.6 1.0 2.8 2021 4.6 4.9 9.0 10.6 1.0 2.8 2022 4.8 5.0 9.2 10.6 1.0 2.7 Finance from Whole economy abroad (a) Saving Invest- Total Net factor Net ment income national saving 2012 11.5 15.7 4.2 1.0 -0.8 2013 10.8 16.3 5.5 2.0 -1.5 2014 11.8 17.1 5.3 2.0 -0.4 2015 11.8 17.0 5.2 2.2 -0.5 2016 11.2 17.0 5.8 2.5 -1.1 2017 13.0 17.0 4.1 1.6 0.7 2018 13.5 17.4 4.0 0.7 1.3 2019 13.9 17.7 3.8 0.6 1.7 2020 14.3 18.1 3.9 0.6 2.0 2021 14.6 18.3 3.7 0.3 2.4 2022 14.9 18.4 3.4 0.0 2.7 Notes: Saving and investment data are gross of depreciation unless otherwise stated, (a) Negative sign indicates a surplus for the UK. Table A10. Medium and long-term projections All figures percentage change unless otherwise stated 2014 2015 2016 2017 GDP (market prices) 3.1 2.3 1.9 1.8 Average earnings 0.4 1.0 3.2 2.9 GDP deflator (market prices) 1.7 0.5 2.0 2.0 Consumer Prices Index 1.4 0.1 0.7 2.7 Per capita GDP 2.3 1.6 1.1 1.2 Whole economy productivity (a) 0.7 1.0 0.3 0.6 Labour input (b) 2.8 1.5 1.4 1.2 ILO unemployment rate (%) 6.2 5.4 4.9 4.4 Current account (% of GDP) -5.3 -5.2 -5.8 -4.1 Total managed expenditure (% of GDP) 41.0 40.0 39.2 38.8 Public sector net borrowing (% of GDP) 5.8 4.4 3.4 2.4 Public sector net debt (% of GDP) 82.2 83.8 83.6 86.3 Effective exchange rate (2011 = 100) 110.2 116.3 104.8 99.3 Bank Rate (%) 0.5 0.5 0.4 0.3 3 month interest rates (%) 0.5 0.6 0.5 0.4 10 year interest rates (%) 2.5 1.8 1.3 1.2 2018 2019 2020 GDP (market prices) 1.4 1.7 1.8 Average earnings 2.7 3.1 3.3 GDP deflator (market prices) 1.2 2.5 2.4 Consumer Prices Index 2.4 2.1 2.0 Per capita GDP 0.8 1.1 1.2 Whole economy productivity (a) 0.8 1.2 1.5 Labour input (b) 0.6 0.5 0.2 ILO unemployment rate (%) 4.1 4.2 4.4 Current account (% of GDP) -4.0 -3.8 -3.9 Total managed expenditure (% of GDP) 38.8 38.7 38.9 Public sector net borrowing (% of GDP) 2.5 2.2 2.4 Public sector net debt (% of GDP) 88.1 88.3 87.9 Effective exchange rate (2011 = 100) 103.3 103.9 104.0 Bank Rate (%) 0.6 1.1 1.6 3 month interest rates (%) 0.8 1.3 1.8 10 year interest rates (%) 1.6 2.3 2.8 2021 2022 2023-27 GDP (market prices) 1.7 1.7 1.6 Average earnings 3.2 3.2 3.3 GDP deflator (market prices) 2.3 2.3 2.4 Consumer Prices Index 2.0 2.0 2.1 Per capita GDP 1.1 1.2 1.1 Whole economy productivity (a) 1.4 1.3 1.2 Labour input (b) 0.3 0.5 0.4 ILO unemployment rate (%) 4.7 4.7 4.9 Current account (% of GDP) -3.7 -3.4 -3.0 Total managed expenditure (% of GDP) 39.0 39.0 39.5 Public sector net borrowing (% of GDP) 2.4 2.3 2.3 Public sector net debt (% of GDP) 86.4 85.6 88.8 Effective exchange rate (2011 = 100) 104.1 104.2 103.9 Bank Rate (%) 2.0 2.3 3.5 3 month interest rates (%) 2.2 2.5 3.7 10 year interest rates (%) 3.2 3.6 4.1 Notes: (a) Per hour.
Table 1. Summary of the forecast Percentage change 2014 2015 2016 GDP 3.1 2.3 1.9 Per capita GDP 2.3 1.6 1.1 CPI Inflation 1.4 0.1 0.7 RPI Inflation 2.4 1.0 1.7 RPDI 1.0 5.3 0.2 Unemployment, % 6.2 5.4 4.9 Bank Rate, % 0.5 0.5 0.4 Long Rates, % 2.5 1.8 1.3 Effective exchange rate 7.4 5.6 -9.9 Current account as % of GDP -5.3 -5.2 -5.8 Net borrowing as % of GDP 5.3 4.2 2.8 Net debt as % of GDP 83.3 83.1 85.7 2017 2018 2019 GDP 1.8 1.4 1.7 Per capita GDP 1.2 0.8 1.1 CPI Inflation 2.7 2.4 2.1 RPI Inflation 3.6 3.9 3.9 RPDI 0.2 1.5 1.8 Unemployment, % 4.4 4.1 4.2 Bank Rate, % 0.3 0.6 1.1 Long Rates, % 1.2 1.6 2.3 Effective exchange rate -5.2 4.1 0.6 Current account as % of GDP -4.1 -4.0 -3.8 Net borrowing as % of GDP 2.7 2.3 2.2 Net debt as % of GDP 87.9 88.2 88.4 2020 2021 2022 GDP 1.8 1.7 1.7 Per capita GDP 1.2 1.1 1.2 CPI Inflation 2.0 2.0 2.0 RPI Inflation 3.5 3.6 3.4 RPDI 2.0 1.8 1.6 Unemployment, % 4.4 4.7 4.7 Bank Rate, % 1.6 2.0 2.3 Long Rates, % 2.8 3.2 3.6 Effective exchange rate 0.1 0.1 0.0 Current account as % of GDP -3.9 -3.7 -3.4 Net borrowing as % of GDP 2.5 2.3 2.3 Net debt as % of GDP 87.2 85.1 86.4 Notes: RPDI is real personal disposable income. PSNB is public sector net borrowing. PSND is public sector net debt, (a) Fiscal year, excludes the impact of financial sector interventions, but includes the flows from the Asset Purchase Facility of the Bank of England. Annual averages unless stated otherwise.