Prospects for the UK economy.
Kirby, Simon ; Carreras, Oriol ; Meaning, Jack 等
Box A. The UK's referendum on EU membership and economic uncertainty by Oriol Carreras, Simon Kirby, Rebecca Piggott and James Warren Introduction The recently elected Conservative government has announced it will deliver on its manifesto commitment and hold a referendum on whether the UK should continue as a member of the European Union. At the time of writing, the exact timing of the vote is uncertain, but the government has imposed an upper bound on its timetable, pledging to hold it before the end of 2017. The question of the economic impact from a withdrawal from EU has been raised with perhaps more import than ever before. We do not focus on this broad question here--a question that currently has only limited evidence to provide answers. Rather we focus on the near-term issue of what effect the uncertainty over the outcome of the referendum has on economic decision making in the UK economy, and more specifically on investment decisions of firms. As always, the counterfactual is crucial to any analysis. A scenario where there is no commitment to a referendum and therefore no uncertainty about the future position of the UK within the EU is implausible given the persistence of questions over the UK's EU membership within domestic political discourse. As such we must be aware of the risk of over-estimating any increase in uncertainty that stems from the act of running a referendum. Uncertainty and investment In economics the distinction between uncertainty and risk is often blurred. In order to provide a succinct definition we shall refer to the seminal work of Knight (1921) who defined risk as an event in which the probability distribution of the outcome is known. Conversely, with uncertainty relevant instances are so dissimilar it is impossible to assign probabilities. Political uncertainty is commonly defined as uncertainty about future monetary or fiscal policy, the tax or regulatory regime, or electoral outcomes, as such this may also incorporate elements of risk rather than pure uncertainty. The literature typically uses uncertainty and risk interchangeably. We use the term uncertainty throughout the rest of this box, but acknowledge that in most instances it is quantifiable risk that is referred to. There is an exhaustive literature on the effects of uncertainty on investment decisions. A standard view in the literature focuses on the option value of waiting, where a rise in uncertainty leads to delays in investment because it increases the value of waiting (see Bernanke, 1983, and Dixit, 1989). Key in all this literature is the presence of sunk costs. The interaction between uncertainty and irreversible costs pushes some firms (usually the ones on the margin between choosing to invest or not) to delay their choice of investment until the uncertainty is resolved. Recent work includes Bloom (2009), who finds that higher uncertainty causes firms to postpone both investment and hiring. Productivity growth falls because the rate of reallocation of resources from low to high productivity firms is inhibited. But once uncertainty subsides, there is a bounce back in economic activity as firms address their pent up demand for capital and labour. Bloom finds that an uncertainty shock generates a rapid slowdown and bounce back of economic activity in contrast to the much more persistent slowdown that typically occurs in response to a productivity or demand shock. Uncertainty in these contexts is typically thought of as relating to general demand prospects and is drawn from an underlying continuous distribution. Handley and Limao (2012), within the context of trade agreements, extend this approach to uncertainty to a variable that may change at some point in time in a stochastic manner but once it changes it remains constant for a long period of time (such as for instance a referendum--the outcome of the vote is either the persistence of the status quo or the permanent transition to a new regime) and show that the same results apply. Beaulieu et al. (2002) analyse four major events between 1990 and 1996 including the second referendum on the question of Quebec's independence from Canada in 1995. They found a heterogeneous effect on firms, with those unable to diversify away the political risk having to generate a higher return in the period of uncertainty in the run-up to the referendum. Julio and Yook (2012) find that, on average, firms reduce investment expenditures by 4.8 per cent during election years relative to non- election years and find evidence that close elections exacerbate uncertainty for firms, depressing investment further than the 'normal' uncertainty around an election does, all else equal. The lead in to a referendum that has the potential to change fundamentally the UK's relationship with the EU should have the potential to increase uncertainty noticeably, depressing the investment decisions of firms. The political uncertainty index developed by Baker et al. (2015) suggests that uncertainty in the UK reached a localised peak in the month of and month prior to the general election (figure AI). Since the election has passed there has been a pronounced dissipation in their measurement of uncertainty in stark contrast to the key Euro Area members, a phenomenon which is probably related to the Euro Area's continued existential crisis. [FIGURE A1 OMITTED] [FIGURE A2 OMITTED] Recent polling suggests (figure A2) the gap between those with an opinion on how they would vote if there was a referendum on EU membership widened as the day of the general election drew closer. The 'yes' vote has had a significant lead in recent YouGov polls, a result replicated in the polling of Ipsos MORI, ICM and ComRes. The literature is suggestive of a negative impact on investment stemming from the very act of holding an election. Importantly though, as always, is the counterfactual. In the current political climate, the question of the UK's continued membership of the EU would have been intensely debated, even if there were no commitment to hold a referendum; witness the surge in votes for the UK Independence Party, who place withdrawal from the EU as their primary policy aim. However, an interesting measure of policy uncertainty and recent polling indicating ample support for the status quo option is not currently suggestive of an economic environment impoverished by uncertainty over the referendum. One would expect financial markets to have priced in the probability of the UK's withdrawal. The appreciation of sterling does, on the face of it, appear to suggest the referendum has had little impact on demand for UK assets. However, we should be cautious with such conclusions since exchange rates move for various reasons, not least relative changes in monetary policy expectations. In constructing this forecast we have not assumed any discernible softening in investment will occur as a consequence of the referendum beyond financial markets incorporating information about the referendum into current asset prices, thus affecting the user cost of capital. If polling were to become noticeably tighter, we might need to revisit the assumption concerning firm's investment decisions in the lead-up to the referendum. References Bernanke, B. S. (1983),'Irreversibility, uncertainty, and cyclical investment',The Quarterly Journal of Economics, 97, I, pp. 85-106. Bloom, N. (2009),'The impact of uncertainty shocks', Econometrica, 77, pp. 623-85. Baker, S., Bloom, N. and Davis, S. (2015),'Measuring economic policy uncertainty', published on http://www.policyuncertainty.com/ index.html. Dixit, A. (1989),'Entry and exit decisions under uncertainty', Journal of Political Economy, 97,3, pp. 620-38. Handley, K. and Limao, N. (2012), 'Trade and investment under policy uncertainty: theory and firm evidence', National Bureau of Economic Research, Working Paper No. w 17790. Julio, B. and Yook, Y. (2012), 'Political uncertainty and corporate investment cycles', The Journal of Finance, 67, I, pp. 45-83. Knight, F. (1921), Risk, Uncertainty and Profit, University of Chicago Press.
Box B: The reserve management implications of an expanded central bank balance sheet and policy normalisation by Jack Meaning The ability to control short-term money market rates effectively lies at the heart of monetary policy. In the UK, exactly how this is done on an operational level is determined by the Sterling Monetary Framework as outlined in the Bank of England's Red Book. This has been subject to a number of important changes since 2009, the implications of which merit further consideration. Until 2009, the Bank of England employed a system of reserves averaging under which commercial banks submitted the quantity of reserves they expected to require on average over the month ahead, given current interest rates. The Bank then supplied reserves equal to the aggregate demand from all banks. On any given day some banks would find themselves long reserves relative to their desired holdings, and some would be short. Those holding excess reserves could leave them on deposit with the Bank of England, but crucially only received interest on balances that were not significantly above their target level. For banks finding themselves short their demanded reserves, they could either borrow additional reserves directly from the Bank of England at the Bank Rate, or from another bank in the money market. This effectively kept the money market rate close to Bank Rate as banks short of reserves would be willing to pay up to, but not above what it cost them to obtain funds from the Bank of England, and banks long reserves would be prepared to lend the excess funds out rather than hold them and receive no income. As the financial crisis of 2007-2008 intensified, the Bank of England was concerned that the banking system was not holding sufficient liquidity, and so provided reserves in excess of the aggregate demand. In order to ensure this did not lead to a fall in money market rates that was inconsistent with the monetary policy objective, the quantity of excess reserves that would be remunerated at Bank Rate was expanded, Fisher (2009). The introduction of quantitative easing in 2009 caused the supply of reserves to increase dramatically and meant that banks were forced to hold reserve balances far in excess of what they might otherwise demand. Without intervention this oversupply would have led to money market rates falling below the level targeted by monetary policy. To avoid this, the Bank had to change its institutional framework and begin remunerating all excess reserves deposited with it by commercial banks at a positive rate of interest. This rate was intended to create a floor on money market rates, regardless of the quantity of reserves supplied, as banks could always deposit reserves with the central bank and receive Bank Rate, so should not be incentivised to lend them on the money market for less than this (see figure BI). Under this 'floor' system, the key policy rate was then the rate of interest paid on reserves. The floor system has been largely successful at controlling money market rates over the past six years, whilst allowing the Bank to expand its balance sheet massively. The overnight LIBOR rate has consistently traded close to 50 basis points, although there has been a slight but persistent negative wedge of around 4 basis points (see figure B2). As we note in the UK chapter of this Review, the MPC appears to be close to the moment when it will want to raise interest rates; we currently expect the first rate rise to occur in February 2016. Under the floor system they can achieve this in one of three ways. The first would be to actively unwind the quantitative easing programme and sell assets back to the market, simultaneously withdrawing reserves. If this is done in sufficient quantity then the floor will become non-binding as the money market once again becomes short of reserves in aggregate (a movement from S1 to S2 in figure 3). However, the MPC have stated that they intend to increase Bank Rate before they start to sell government bonds back to the market. What seems more likely then is that they will increase the rate of interest paid on reserve balances. As can be seen by the red line in figure 3, this would raise the floor on the money market and tighten policy independently of supply. Disconnecting the quantity of reserves and the stance of monetary policy in this way is an idea explained well by Goodfriend (2002). Raising the floor in this way has the potential to widen the negative wedge currently observed between Bank Rate and the prevailing money market rate. Were this to happen, the ability of monetary policy to control market rates and thus stabilise the economy could be hampered. As explained in Salmon (2015), in this situation the Bank would look to reduce the supply of reserves via the issuance of Bank of England bills. This amounts to a reverse quantitative easing (quantitative tightening?) as the central bank sells an asset to the private sector and receives reserves in payment, reducing the quantity left available. In principle it is similar to the unwinding of quantitative easing through sales of gilts. Importantly though, by selling Bank of England bills, which will likely have a maturity of around one week, this option will not introduce significant additional maturity on to the private sector, nor will it have a substantial effect on long rates in gilt markets, other than through the traditional term structure effect of moving short rates. [FIGURE B1 OMITTED] [FIGURE B2 OMITTED] [FIGURE B3 OMITTED] Even if the issuance of central bank bills is effective in mopping up excess liquidity and the central bank retains control of money market rates, the large quantity of reserves and the fact that the central bank must pay interest on them in order to clear the money market at their target policy rate is not without consequence. Whether paid on reserves or bills, these interest payments represent a cost to the Bank of England of maintaining an expanded balance sheet. As detailed in McLaren and Smith (2012), the Asset Purchase Facility (APF) has a loan from the Bank of England, on which it pays Bank Rate. The Bank of England has financed this loan by issuing reserves, on which it also pays the policy rate. So, when the level of interest paid on reserves consistent with the monetary policy objective increases, either the Bank of England has to pass this on to the APF, or face a loss itself. If it chooses the former and increases the interest on the APF's loan in line with Bank Rate, this will worsen the profit and loss position of the APF as its income stream from its government bond holdings is relatively fixed. As described in Kirby and Meaning (2015), this will have direct fiscal implications by increasing the fiscal transfer required to close out the APF under the government's indemnity. All in all, the floor system of reserve management has been an effective framework while interest rates have been close to their perceived lower bound and the central bank has wanted to largely oversupply the money market. However, as the policy cycle moves into its tightening phase, the adequacy of a floor requires at least some consideration, along with its wider implications for monetary and fiscal policy. What appears to be a technical issue about the Bank's conduct of open market operations, may well start to become a topic of intense debate in close to half a year. REFERENCES Fisher, P. (2009), The Bank of England's balance sheet: monetary policy and liquidity provision during the crisis', Speech to the Professional Pensions Show. Goodfriend, M. (2002), 'Interest on reserves and monetary policy', Economic Policy Review, Federal Reserve Bank of New York, issue May, pp. 77-84. Kirby, S. and Meaning, J (2105), The impacts of the Bank of England's asset purchases on the public finances', National Institute Economic Review, 232, May. McLaren, N. and Smith, T. (2013), The profile of cash transfers between the Asset Purchase Facility and Her Majesty's Treasury', Bank of England Quarterly Bulletin, 53(I), pp. 29-37. Salmon, C. (2015), speech to the Money Markets Liaison Committee, 13 July.
Box C. Forthcoming changes to the Quarterly National Accounts by Simon Kirby and James Warren Each year the ONS publishes the Blue Book. Alongside the annual benchmarking exercise and movement to a new reference year for constant price estimates, the ONS also incorporates a variety of additional information sources to help refine the measurement of the UK economy, for example annual figures from HMRC to refine estimates of household and corporate incomes. The Blue Book is also used by the ONS to introduce methodological changes, which can potentially lead to significant revisions to our perceptions of historical economic statistics. The adoption of the European System of National Accounts 2010 in 2014 is perhaps an extreme example of this, when the level of current price GDP was revised by 2.3 per cent of GDP (see Box C in the August 2014 Review). This September will see the release of Quarterly National Accounts (QNA) data consistent with Blue Book 2015. While many changes are planned, the magnitude of the combined impact on GDP (either current or constant price) is estimated to be modest (ONS 2015a, 2015b). A number of methodological improvements to gross fixed capital formation (GFCF) will be implemented. The most significant are changes to the survey used to collect the underlying data. This includes a simplification of the survey as well as a re-definition of GFCF. The lower bound for recording of investments (currently a value of 500 [pounds sterling]) will be removed, while small tools will now be classified as GFCF (Duff, 2015). There are also changes in the way repairs to buildings will be incorporated into GCFC. Previously the costs associated with land transfer were double counted and this is now to be eliminated. Furthermore, the costs of land transfer series will be estimated with real data rather than modelled estimates (Duff, 2015). Network rail has been reclassified to central government from the private non-financial corporate sector, while Transport for London has been reclassified to local government from a public non-financial corporation. However, these changes will have a minimal impact on overall GDP. The ONS has updated the price series used for smuggled tobacco and alcohol with the primary aim of increasing coherence with HMRC data, this is likely to impact on both the current price and chain volume measures of consumption and imports and therefore both measures of GDP. The ONS had, incorrectly, allowed the price series used to re-inflate estimates of the volume of narcotics imports and consumption to remain in US$. This will be corrected and, depending on the value of the exchange rate for the relevant year, will lead to GDP revisions either upwards or downwards. However, the revisions are of a small magnitude, with the maximum impact on annual GDP of +/- 0.1 percentage points in any year between 1997 and 2010 (ONS, 2015b). The treatment of local government pensions has been refined, increasing the imputed cost of employer contributions. Given how local government output is measured (inputs equal outputs), this will also translate into an increase in local government output and consumption. The ONS estimates that the cumulative effect of these revisions will lead to lower nominal GDP--by 0.2 per cent by 2010. However, there will be no discernible impact on growth rates between 1997 and 2010. For real GDP the average growth rate is estimated to be revised downwards by on average 0.2 percentage points per annum for the period 1998 to 2010 (ONS, 2015a and b). References Duff S. (2015), Methodological Improvements to National Accounts for Blue Book 2015:Gross Fixed Capital Formation (1997 to 2010), ONS. ONS (2015a), Impact of Blue Book 2015 changes on Chained Volume Measure Gross Domestic Product Estimates, 1997 to 2010. --(2015b), Impact of Blue Book 2015 changes on Current Price Gross Domestic Product Estimates, 1997 to 2010.
Table A1. Exchange rates and interest rates
UK exchange rates FTSE
All-share
Effective Dollar Euro index
2011 = 100
2010 100.19 1.55 1.17 2472.7
2011 100.00 1.60 1.15 2587.6
2012 104.17 1.59 1.23 2617.7
2013 102.92 1.56 1.18 3006.2
2014 111.01 1.65 1.24 3136.6
2015 118.64 1.54 1.39 3194.4
2016 121.04 1.57 1.42 3278.2
2017 121.05 1.58 1.40 3432.7
2018 121.16 1.60 1.39 3594.4
2019 121.29 1.62 1.37 3787.9
2020 121.37 1.64 1.36 3987.3
2014 Q1 109.10 1.66 1.21 3148.9
2014 Q2 110.63 1.68 1.23 3171.0
2014 Q3 112.43 1.67 1.26 3161.3
2014 Q4 111.87 1.58 1.27 3065.3
2015 Q1 115.03 1.51 1.34 3207.6
2015 Q2 117.57 1.53 1.39 3254.1
2015 Q3 120.89 1.56 1.42 3142.7
2015 Q4 121.07 1.56 1.42 3173.5
2016 Q1 121.04 1.56 1.42 3223.2
2016 Q2 121.04 1.56 1.42 3261.3
2016 Q3 121.05 1.57 1.42 3291.8
2016 Q4 121.05 1.57 1.41 3336.5
Percentage changes
2010/2009 -0.4 -1.2 3.8 21.2
2011/2010 -0.2 3.7 -1.2 4.6
2012/2011 4.2 -1.1 7.0 1.2
2013/2012 -1.2 -1.3 -4.5 14.8
2014/2013 7.9 5.3 5.4 4.3
2015/2014 6.9 -6.3 12.2 1.8
2016/2015 2.0 1.5 1.8 2.6
2017/2016 0.0 0.8 -0.9 4.7
2018/2017 0.1 1.3 -1.1 4.7
2019/2018 0.1 1.2 -1.1 5.4
2020/2019 0.1 1.0 -1.1 5.3
2014Q4/13Q4 5.2 -2.2 6.5 -1.0
2015Q4/14Q4 8.2 -1.2 12.1 3.5
2016Q4/15Q4 0.0 0.3 -0.5 5.1
Interest rates
3-month Mortgage 10-year World (a) Bank
rates interest gilts Rated (b)
2010 0.7 4.0 3.6 1.4 0.50
2011 0.9 4.1 3.1 1.6 0.50
2012 0.8 4.2 1.8 1.4 0.50
2013 0.5 4.4 2.4 1.1 0.50
2014 0.5 4.4 2.5 0.9 0.50
2015 0.6 4.5 1.9 0.7 0.50
2016 1.0 4.7 2.5 1.2 1.00
2017 1.5 4.8 2.9 1.8 1.50
2018 2.0 5.0 3.3 2.3 2.00
2019 2.4 5.3 3.6 2.6 2.50
2020 2.8 5.6 3.8 3.0 2.75
2014 Q1 0.5 4.4 2.8 1.1 0.50
2014 Q2 0.5 4.4 2.7 0.9 0.50
2014 Q3 0.6 4.5 2.6 0.8 0.50
2014 Q4 0.6 4.5 2.1 0.8 0.50
2015 Q1 0.6 4.5 1.6 0.7 0.50
2015 Q2 0.6 4.5 1.9 0.7 0.50
2015 Q3 0.6 4.5 2.0 0.7 0.50
2015 Q4 0.6 4.5 2.2 0.8 0.50
2016 Q1 0.8 4.6 2.3 1.0 0.75
2016 Q2 0.9 4.7 2.4 1.1 0.75
2016 Q3 1.1 4.7 2.5 1.2 1.00
2016 Q4 1.2 4.7 2.7 1.4 1.00
Percentage changes
2010/2009
2011/2010
2012/2011
2013/2012
2014/2013
2015/2014
2016/2015
2017/2016
2018/2017
2019/2018
2020/2019
2014Q4/13Q4
2015Q4/14Q4
2016Q4/15Q4
Notes: We assume that bilateral exchange rates for the first
quarter of this year are the average of information available to
15 July 2015.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
2011=100
Unit Imports Exports Wholesale
labour costs deflator deflator price
index (a)
2010 100.3 93.4 94.5 97.3
2011 100.0 100.0 100.0 100.0
2012 101.9 99.2 99.6 101.1
2013 103.4 100.4 101.1 101.9
2014 103.5 96.8 98.9 102.8
2015 103.3 89.9 93.9 103.0
2016 104.0 89.5 93.7 102.9
2017 105.2 92.3 95.4 103.7
2018 106.9 94.8 97.4 105.9
2019 108.7 96.7 99.3 108.4
2020 110.3 98.5 101.1 110.7
Percentage changes
2010/2009 1.2 3.9 5.1 1.5
2011/2010 -0.3 7.1 5.8 2.8
2012/2011 1.9 -0.8 -0.4 1.1
2013/2012 1.4 1.2 1.5 0.8
2014/2013 0.1 -3.6 -2.1 0.9
2015/2014 -0.3 -7.1 -5.1 0.2
2016/2015 0.7 -0.4 -0.1 -0.1
2017/2016 1.1 3.1 1.8 0.8
2018/2017 1.6 2.8 2.1 2.1
2019/2018 1.7 2.0 1.9 2.4
2020/2019 1.4 1.8 1.9 2.1
2014Q4/13Q4 0.8 -4.0 -3.3 0.7
2015Q4/14Q4 -0.9 -7.5 -5.0 0.2
2016Q4/15Q4 1.0 2.7 1.7 0.0
World oil Consumption GDP
price deflator deflator
($) (b) (market
prices)
2010 78.8 96.7 97.9
2011 108.5 100.0 100.0
2012 110.4 102.1 101.7
2013 107.1 104.0 103.5
2014 97.8 105.5 105.1
2015 56.6 105.4 106.4
2016 59.7 106.3 107.6
2017 60.5 108.0 108.8
2018 61.7 110.4 110.9
2019 62.9 112.8 113.3
2020 64.2 115.1 115.7
Percentage changes
2010/2009 27.6 4.4 3.2
2011/2010 37.6 3.4 2.1
2012/2011 1.8 2.1 1.7
2013/2012 -3.0 1.9 1.8
2014/2013 -8.7 1.5 1.6
2015/2014 -42.2 -0.1 1.2
2016/2015 5.6 0.9 1.2
2017/2016 1.3 1.6 1.1
2018/2017 2.0 2.2 1.9
2019/2018 2.0 2.2 2.2
2020/2019 2.0 2.1 2.1
2014Q4/13Q4 -30.3 1.3 1.2
2015Q4/14Q4 -27.3 -0.8 1.4
2016Q4/15Q4 9.1 1.2 0.9
Retail price index
All Excluding Consumer
items mortgage prices
interest index
2010 95.1 95.0 95.7
2011 100.0 100.0 100.0
2012 103.2 103.2 102.8
2013 106.4 106.4 105.5
2014 108.9 109.0 107.0
2015 109.9 110.1 107.0
2016 112.1 112.1 108.1
2017 115.0 114.5 109.8
2018 119.1 117.5 112.1
2019 123.6 120.7 114.5
2020 128.0 123.8 116.8
Percentage changes
2010/2009 4.6 4.8 3.3
2011/2010 5.2 5.3 4.5
2012/2011 3.2 3.2 2.8
2013/2012 3.0 3.1 2.6
2014/2013 2.4 2.4 1.4
2015/2014 0.9 1.0 0.0
2016/2015 2.1 1.9 1.0
2017/2016 2.6 2.1 1.5
2018/2017 3.5 2.7 2.1
2019/2018 3.8 2.7 2.2
2020/2019 3.5 2.6 2.0
2014Q4/13Q4 1.9 2.0 0.9
2015Q4/14Q4 1.0 1.2 0.1
2016Q4/15Q4 2.1 1.8 1.2
Notes: (a) Excluding food, beverages, tobacco and petroleum
products, (b) Per barrel, average of Dubai and Brent spot prices.
Table A3. Gross domestic product and components of expenditure
[pounds sterling] billion, 2011 prices
Final consumption Gross capital
expenditure formation
Households General Gross Changes in
& NPISH (a) govt. fixed in- inventories
vestment (b)
2010 1038.3 337.2 254.9 5.7
201 1 1039.1 337.3 260.8 4.3
2012 1050.8 345.2 262.7 6.5
2013 1068.5 344.2 271.6 10.2
2014 1095.1 349.6 294.9 13.4
2015 1131.5 353.9 311.4 9.5
2016 1170.7 355.9 331.7 9.4
2017 1194.7 357.1 348.3 9.4
2018 1220.5 357.2 363.0 9.4
2019 1248.6 358.3 374.1 9.4
2020 1278.7 367.6 382.3 9.4
Percentage changes
2010/2009 0.4 0.0 5.9
2011/2010 0.1 0.0 2.3
2012/2011 1.1 2.3 0.7
2013/2012 1.7 -0.3 3.4
2014/2013 2.5 1.6 8.6
2015/2014 3.3 1.2 5.6
2016/2015 3.5 0.6 6.5
2017/2016 2.1 0.3 5.0
2018/2017 2.2 0.0 4.2
2019/2018 2.3 0.3 3.1
2020/2019 2.4 2.6 2.2
Decomposition of growth in GDP
2010 0.2 0.0 0.9 1.4
2011 0.1 0.0 0.4 -0.1
2012 0.7 0.5 0.1 0.1
2013 1.1 -0.1 0.5 0.2
2014 1.6 0.3 1.4 0.2
2015 2.1 0.3 1.0 -0.2
2016 2.2 0.1 1.2 0.0
2017 1.3 0.1 0.9 0.0
2018 1.4 0.0 0.8 0.0
2019 1.5 0.1 0.6 0.0
2020 1.6 0.5 0.4 0.0
Domestic Total Total
demand exports (c) final
expendi-
ture
2010 1636.1 472.8 2109.6
201 1 1641.5 499.5 2141.0
2012 1665.1 502.8 2167.9
2013 1694.5 510.2 2204.7
2014 1753.0 512.6 2265.6
2015 1806.2 534.6 2340.8
2016 1867.7 559.4 2427.1
2017 1909.5 595.7 2505.2
2018 1950.1 627.5 2577.6
2019 1990.4 655.4 2645.8
2020 2038.0 680.9 2718.9
Percentage changes
2010/2009 2.7 6.2 3.4
2011/2010 0.3 5.6 1.5
2012/2011 1.4 0.7 1.3
2013/2012 1.8 1.5 1.7
2014/2013 3.5 0.5 2.8
2015/2014 3.0 4.3 3.3
2016/2015 3.4 4.7 3.7
2017/2016 2.2 6.5 3.2
2018/2017 2.1 5.3 2.9
2019/2018 2.1 4.4 2.6
2020/2019 2.4 3.9 2.8
Decomposition of growth in GDP
2010 2.8 1.8 4.5
2011 0.3 1.7 2.0
2012 1.5 0.2 1.7
2013 1.8 0.5 2.3
2014 3.5 0.1 3.7
2015 3.1 1.3 4.4
2016 3.5 1.4 4.9
2017 2.3 2.0 4.4
2018 2.2 1.7 3.9
2019 2.1 1.5 3.6
2020 2.5 1.3 3.8
Total Net GDP
imports (c) trade at
market
prices
2010 518.2 -45.3 1591.5
201 1 523.3 -23.8 1617.7
2012 539.6 -36.8 1628.3
2013 547.4 -37.1 1655.4
2014 560.3 -47.7 1705.0
2015 592.0 -57.4 1747.7
2016 635.9 -76.5 1790.0
2017 668.1 -72.4 1835.9
2018 690.8 -63.2 1885.7
2019 711.1 -55.8 1933.5
2020 735.7 -54.7 1982.1
Percentage changes
2010/2009 8.7 1.9
2011/2010 1.0 1.6
2012/2011 3.1 0.7
2013/2012 1.4 1.7
2014/2013 2.4 3.0
2015/2014 5.7 2.5
2016/2015 7.4 2.4
2017/2016 5.1 2.6
2018/2017 3.4 2.7
2019/2018 2.9 2.5
2020/2019 3.5 2.5
Decomposition of growth in GDP
2010 -2.7 -0.9 1.9
2011 -0.3 1.4 1.6
2012 -1.0 -0.8 0.7
2013 -0.5 0.0 1.7
2014 -0.8 -0.6 3.0
2015 -1.9 -0.6 2.5
2016 -2.5 -1.1 2.4
2017 -1.8 0.2 2.6
2018 -1.2 0.5 2.7
2019 -1.1 0.4 2.5
2020 -1.3 0.1 2.5
Notes: (a) Non-profit institutions serving households, (b)
Including acquisitions less disposals of valuables and quarterly
alignment adjustment, (c) Includes MissingTrader 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 trade
goods (a) goods (a) in goods (a)
[pounds sterling] billion,
2011 prices (b)
2010 289.4 398.9 -109.5
2011 309.2 405.7 -96.5
2012 306.6 416.2 -109.6
2013 305.1 419.1 -114.0
2014 304.1 431.3 -127.2
2015 320.8 458.0 -137.2
2016 337.8 493.8 -155.9
2017 360.5 519.7 -159.2
2018 379.5 537.2 -157.7
2019 396.0 552.5 -156.5
2020 411.4 571.4 -160.1
Percentage changes
2010/2009 10.8 12.2
2011/2010 6.8 1.7
2012/2011 -0.8 2.6
2013/2012 -0.5 0.7
2014/2013 -0.3 2.9
2015/2014 5.5 6.2
2016/2015 5.3 7.8
2017/2016 6.7 5.3
2018/2017 5.3 3.4
2019/2018 4.3 2.9
2020/2019 3.9 3.4
Exports of Imports of Net trade
services services in services
[pounds sterling] billion,
2011 prices (b)
2010 183.4 119.3 64.1
2011 190.3 117.6 72.7
2012 196.2 123.4 72.8
2013 205.1 128.3 76.8
2014 208.5 129.0 79.5
2015 213.7 134.0 79.8
2016 221.6 142.2 79.4
2017 235.2 148.4 86.9
2018 248.1 153.6 94.5
2019 259.4 158.6 100.8
2020 269.6 164.3 105.3
Percentage changes
2010/2009 -0.4 -1.0
2011/2010 3.8 -1.4
2012/2011 3.1 4.9
2013/2012 4.6 4.0
2014/2013 1.6 0.5
2015/2014 2.5 3.9
2016/2015 3.7 6.1
2017/2016 6.2 4.3
2018/2017 5.5 3.5
2019/2018 4.6 3.3
2020/2019 3.9 3.6
Export price World Terms of Current
competi- trade (d) trade (e) balance
tiveness (c)
2011 = 100 % of GDP
2010 95.9 94.6 101.2 -2.6
2011 100.0 100.0 100.0 -1.7
2012 101.3 102.3 100.4 -3.7
2013 100.6 105.0 100.7 -4.5
2014 104.8 108.8 102.2 -5.9
2015 103.5 113.5 104.4 -5.7
2016 103.3 119.6 104.7 -5.6
2017 101.5 125.9 103.4 -5.2
2018 100.6 131.6 102.7 -4.4
2019 99.8 137.1 102.6 -3.7
2020 99.1 142.5 102.7 -3.4
Percentage changes
2010/2009 1.9 10.1 1.1
2011/2010 4.2 5.7 -1.2
2012/2011 1.3 2.3 0.4
2013/2012 -0.7 2.6 0.3
2014/2013 4.2 3.6 1.5
2015/2014 -1.2 4.3 2.2
2016/2015 -0.2 5.4 0.3
2017/2016 -1.7 5.3 -1.2
2018/2017 -1.0 4.5 -0.7
2019/2018 -0.8 4.2 -0.1
2020/2019 -0.7 3.9 0.0
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
2011=100 [pounds sterling] billion,
current prices
2010 99.1 817.0 1358.0 1052.8
2011 100.0 827.8 1383.5 1067.9
2012 102.2 849.4 1424.2 1107.0
2013 104.2 875.9 1457.3 1129.8
2014 105.7 903.5 1493.4 1155.4
2015 106.0 923.6 1552.8 1200.4
2016 108.3 953.0 1611.7 1244.0
2017 111.2 988.3 1683.5 1299.9
2018 114.8 1031.4 1770.3 1365.2
2019 118.8 1075.7 1863.7 1434.1
2020 122.9 1118.5 1961.5 1507.0
Percentage changes
2010/2009 3.5 3.2 4.5 5.3
2011/2010 6.9 1.3 1.9 1.4
2012/2011 2.2 2.6 2.9 3.7
2013/2012 1.9 3.1 2.3 2.1
2014/2013 1.5 3.1 2.5 2.3
2015/2014 0.3 2.2 4.0 3.9
2016/2015 2.1 3.2 3.8 3.6
2017/2016 2.7 3.7 4.5 4.5
2018/2017 3.2 4.4 5.2 5.0
2019/2018 3.5 4.3 5.3 5.0
2020/2019 3.4 4.0 5.2 5.1
Real Final consumption Saving
disposable expenditure ratio (c)
income(b)
Total Durable
[pounds sterling] billion, per cent
2011 prices
2010 1088.6 1038.3 89.3 11.0
2011 1067.9 1039.1 90.4 8.6
2012 1084.6 1050.8 96.9 8.0
2013 1086.1 1068.5 102.8 6.4
2014 1094.6 1095.1 111.0 6.1
2015 1138.7 1131.5 118.7 6.1
2016 1170.0 1170.7 124.1 5.7
2017 1203.6 1194.7 128.0 6.6
2018 1237.1 1220.5 131.8 7.4
2019 1271.4 1248.6 135.2 7.9
2020 1308.9 1278.7 138.4 8.4
Percentage changes
2010/2009 0.9 0.4 -2.1
2011/2010 -1.9 0.1 1.3
2012/2011 1.6 1.1 7.2
2013/2012 0.1 1.7 6.1
2014/2013 0.8 2.5 7.9
2015/2014 4.0 3.3 6.9
2016/2015 2.8 3.5 4.6
2017/2016 2.9 2.1 3.1
2018/2017 2.8 2.2 3.0
2019/2018 2.8 2.3 2.6
2020/2019 2.9 2.4 2.3
House Net
prices(d) worth to
income
ratio (e)
2011=100
2010 101.0 6.3
2011 100.0 6.6
2012 101.6 6.8
2013 105.2 6.7
2014 115.8 7.3
2015 126.1 7.6
2016 135.5 7.6
2017 137.0 7.4
2018 139.1 7.3
2019 141.2 7.3
2020 142.7 7.2
Percentage changes
2010/2009 7.2
2011/2010 -1.0
2012/2011 1.6
2013/2012 3.5
2014/2013 10.0
2015/2014 8.9
2016/2015 7.5
2017/2016 1.1
2018/2017 1.5
2019/2018 1.5
2020/2019 1.1
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
[pounds sterling] billion, 2011 prices
Gross fixed investment
Business Private General Total
investment housing (a) government
2010 143.7 60.5 50.6 254.9
2011 152.3 62.2 46.3 260.8
2012 158.7 60.2 43.7 262.7
2013 167.2 64.0 40.4 271.6
2014 180.5 72.4 42.0 294.9
2015 190.5 77.7 43.2 311.4
2016 201.8 86.7 43.2 331.7
2017 209.1 95.5 43.7 348.3
2018 214.5 103.6 44.8 363.0
2019 217.9 110.4 45.8 374.1
2020 219.6 116.0 46.7 382.3
Percentage changes
2010/2009 3.7 15.7 2.3 5.9
2011/2010 6.0 2.8 -8.5 2.3
2012/2011 4.2 -3.1 -5.5 0.7
2013/2012 5.3 6.2 -7.7 3.4
2014/2013 8.0 13.1 3.9 8.6
2015/2014 5.5 7.4 2.9 5.6
2016/2015 5.9 11.6 0.1 6.5
2017/2016 3.6 10.2 1.2 5.0
2018/2017 2.6 8.5 2.5 4.2
2019/2018 1.6 6.6 2.2 3.1
2020/2019 0.8 5.0 2.0 2.2
User Corporate Capital stock
cost of share of
capital GDP (%) Private Public (b)
(%)
2010 15.7 24.1 2965.0 780.9
2011 15.3 25.0 2980.7 794.9
2012 13.3 24.6 3005.0 815.1
2013 12.4 24.9 3033.1 841.7
2014 13.6 25.2 3079.3 859.7
2015 13.7 26.2 3136.9 878.4
2016 14.0 26.7 3210.0 896.7
2017 14.2 27.0 3293.7 914.9
2018 14.4 27.6 3385.0 933.7
2019 14.8 28.2 3480.2 953.0
2020 14.9 28.8 3576.3 972.6
Percentage changes
2010/2009 0.4 3.0
2011/2010 0.5 1.8
2012/2011 0.8 2.5
2013/2012 0.9 3.3
2014/2013 1.5 2.1
2015/2014 1.9 2.2
2016/2015 2.3 2.1
2017/2016 2.6 2.0
2018/2017 2.8 2.1
2019/2018 2.8 2.1
2020/2019 2.8 2.1
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 ILO Labour Population
unemploy- force (b) of
Employees Total (a) ment working
age
2010 25017 29229 2497 31725 40683
2011 25117 29376 2593 31969 40944
2012 25214 29697 2572 32268 40880
2013 25516 30043 2476 32519 40915
2014 25939 30726 2027 32753 41037
2015 26430 31137 1856 32992 41133
2016 26700 31439 1813 33252 41242
2017 26957 31733 1776 33509 41335
2018 27250 32064 1714 33778 41398
2019 27468 32320 1721 34041 41463
2020 27614 32499 1780 34279 41557
Percentage changes
2010/2009 -0.3 0.2 3.9 0.5 0.6
2011/2010 0.4 0.5 3.8 0.8 0.6
2012/2011 0.4 1.1 -0.8 0.9 -0.2
2013/2012 1.2 1.2 -3.7 0.8 0.1
2014/2013 1.7 2.3 -18.1 0.7 0.3
2015/2014 1.9 1.3 -8.4 0.7 0.2
2016/2015 1.0 1.0 -2.3 0.8 0.3
201712016 1.0 0.9 -2.0 0.8 0.2
2018/2017 1.1 1.0 -3.5 0.8 0.2
2019/2018 0.8 0.8 0.4 0.8 0.2
2020/2019 0.5 0.6 3.4 0.7 0.2
Productivity Unemployment, %
(2011 = 100)
Claimant ILO unem-
Per hour Manufact- rate ployment
uring rate
2010 98.7 97.9 4.6 7.9
2011 100.0 100.0 4.7 8.1
2012 98.8 98.3 4.7 8.0
2013 98.6 98.2 4.3 7.6
2014 98.8 99.9 3.0 6.2
2015 99.9 98.4 2.3 5.6
2016 101.2 100.8 2.1 5.5
2017 102.9 103.5 2.0 5.3
2018 104.7 106.0 1.8 5.1
2019 106.5 108.6 1.8 5.1
2020 108.7 111.5 1.9 5.2
Percentage changes
2010/2009 1.5 8.2
2011/2010 1.3 2.2
2012/2011 -1.2 -1.7
2013/2012 -0.3 -0.2
2014/2013 0.3 1.7
2015/2014 1.1 -1.5
2016/2015 1.2 2.4
201712016 1.7 2.7
2018/2017 1.7 2.4
2019/2018 1.8 2.5
2020/2019 2.0 2.7
Notes: (a) Includes self-employed, government-supported trainees
and unpaid family members, (b) Employment plus ILO unemployment.
Table A8. Public sector financial balance and borrowing requirement
[pounds sterling] billion, fiscal years
2013-14 2014-15
Current Taxes on income 373.7 389.7
receipts: Taxes on expenditure 221.8 229.9
Other current receipts 23.5 24.2
Total 619.0 643.7
(as a % of GDP) 35.7 35.6
Current Goods and services 347.7 352.4
expenditure: Net social benefits paid 220.1 226.2
Debt interest 35.8 32.3
Other current expenditure 52.2 51.1
Total 655.8 662.1
(as a % of GDP) 37.8 36.6
Depreciation 33.9 34.9
Surplus on public sectore current budget (a) -70.7 -53.3
(as a % of GDP) -4.1 -2.9
Gross investment 60.1 65.4
Net investment 26.2 30.5
(as a % of GDP) 1.5 1.7
Total managed expenditure 715.8 727.5
(as a % of GDP) 41.3 40.2
Public sector net borrowing 96.9 83.8
(as a % of GDP) 5.6 4.6
Financial transactions 25.8 -1.4
Public sector net cash requirement 71.0 85.2
(as a % of GDP) 4.1 4.7
Public sector net debt (% of GDP) 79.7 81.0
GDP deflator at market prices (201 1 = 100) 104.0 105.5
Money GDP 1733.2 1810.7
Financial balance under Maastricht (% of GDP) (b) -5.7 -5.8
Gross debt under Maastricht (% of GDP) (b) 87.3 89.3
2015-16 2016-17
Current Taxes on income 403.6 429.8
receipts: Taxes on expenditure 237.0 246.9
Other current receipts 21.0 20.7
Total 661.7 697.4
(as a % of GDP) 35.3 35.9
Current Goods and services 353.0 359.6
expenditure: Net social benefits paid 223.8 225.5
Debt interest 35.3 38.3
Other current expenditure 57.1 58.7
Total 669.1 682.1
(as a % of GDP) 35.7 35.1
Depreciation 37.2 39.5
Surplus on public sectore current budget (a) -44.6 -24.2
(as a % of GDP) -2.4 -1.2
Gross investment 69.3 69.3
Net investment 32.0 29.8
(as a % of GDP) 1.7 1.5
Total managed expenditure 738.4 751.4
(as a % of GDP) 39.4 38.7
Public sector net borrowing 76.7 54.0
(as a % of GDP) 4.1 2.8
Financial transactions 18.7 -12.6
Public sector net cash requirement 58.0 66.6
(as a % of GDP) 3.1 3.4
Public sector net debt (% of GDP) 80.1 80.1
GDP deflator at market prices (201 1 = 100) 106.7 107.8
Money GDP 1876.2 1941.6
Financial balance under Maastricht (% of GDP) (b) -3.6 -3.2
Gross debt under Maastricht (% of GDP) (b) 90.2 88.9
2017-18 2018-19
Current Taxes on income 452.3 477.1
receipts: Taxes on expenditure 256.4 267.9
Other current receipts 20.4 20.4
Total 729.1 765.4
(as a % of GDP) 36.1 36.2
Current Goods and services 361.4 364.1
expenditure: Net social benefits paid 230.4 235.5
Debt interest 39.1 39.6
Other current expenditure 60.4 62.6
Total 691.3 701.8
(as a % of GDP) 34.2 33.2
Depreciation 41.4 43.4
Surplus on public sectore current budget (a) -3.6 20.2
(as a % of GDP) -0.2 1.0
Gross investment 70.4 72.4
Net investment 29.1 29.0
(as a % of GDP) 1.4 1.4
Total managed expenditure 761.8 774.2
(as a % of GDP) 37.7 36.6
Public sector net borrowing 32.6 8.8
(as a % of GDP) 1.6 0.4
Financial transactions -7.3 -3.9
Public sector net cash requirement 39.9 12.7
(as a % of GDP) 2.0 0.6
Public sector net debt (% of GDP) 78.6 75.6
GDP deflator at market prices (201 1 = 100) 109.2 111.5
Money GDP 2019.2 2116.4
Financial balance under Maastricht (% of GDP) (b) -2.1 -0.8
Gross debt under Maastricht (% of GDP) (b) 87.6 84.3
2019-20 2020-21
Current Taxes on income 502.8 531.9
receipts: Taxes on expenditure 280.1 292.8
Other current receipts 21.3 22.3
Total 804.1 847.1
(as a % of GDP) 36.3 36.5
Current Goods and services 370.8 395.9
expenditure: Net social benefits paid 243.3 255.1
Debt interest 40.2 40.1
Other current expenditure 64.9 67.3
Total 719.2 758.4
(as a % of GDP) 32.5 32.7
Depreciation 45.4 47.5
Surplus on public sectore current budget (a) 39.5 41.2
(as a % of GDP) 1.8 1.8
Gross investment 74.6 77.9
Net investment 29.2 30.4
(as a % of GDP) 1.3 1.3
Total managed expenditure 793.8 836.2
(as a % of GDP) 35.8 36.1
Public sector net borrowing -10.3 -10.8
(as a % of GDP) -0.5 -0.5
Financial transactions -5.5 -19.1
Public sector net cash requirement -4.8 8.3
(as a % of GDP) -0.2 0.4
Public sector net debt (% of GDP) 72.0 69.2
GDP deflator at market prices (201 1 = 100) 113.9 116.3
Money GDP 2216.0 2318.9
Financial balance under Maastricht (% of GDP) (b) 0.2 0.4
Gross debt under Maastricht (% of GDP) (b) 80.1 76.0
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
Households Companies General
government
Saving Invest- Saving Invest- Saving Invest-
ment ment ment
2010 7.9 4.3 11.4 9.1 -5.6 2.9
2011 6.0 4.5 12.8 9.3 -4.2 2.6
2012 5.6 4.5 11.6 9.6 -4.5 2.4
2013 4.4 4.7 10.9 10.3 -2.8 2.1
2014 4.2 5.0 10.2 10.6 -2.4 2.2
2015 4.2 5.0 9.7 11.0 -1.2 2.3
2016 3.9 5.5 9.9 11.4 -0.4 2.2
2017 4.5 6.0 9.2 11.5 0.7 2.1
2018 5.1 6.4 8.6 11.5 1.9 2.0
2019 5.5 6.7 8.1 11.4 2.8 2.0
2020 5.9 6.9 7.8 11.2 3.0 2.0
Whole economy Finance from Net
abroad (a) national
saving
Saving Invest- Total Net factor
ment income
2010 13.7 16.3 2.6 -1.1 0.4
2011 14.7 16.4 1.7 -1.2 1.5
2012 12.8 16.5 3.7 0.3 -0.5
2013 12.6 17.0 4.5 0.9 -0.7
2014 11.9 17.8 5.9 2.4 -1.3
2015 12.7 18.3 5.7 2.6 -0.8
2016 13.5 19.1 5.6 1.8 0.0
2017 14.5 19.7 5.2 1.3 1.0
2018 15.6 20.0 4.4 0.9 2.1
2019 16.4 20.1 3.7 0.6 2.9
2020 16.7 20.1 3.4 0.4 3.2
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
2012 2013 2014 2015 2016
GDP (market prices) 0.7 1.7 3.0 2.5 2.4
Average earnings 2.2 1.9 1.5 0.3 2.1
GDP deflator 1.7 1.8 1.6 1.2 1.2
(market prices)
Consumer Prices Index 2.8 2.6 1.4 0.0 1.0
Per capita GDP 0.0 1.0 2.2 1.8 1.7
Whole economy -1.2 -0.3 0.3 1.1 1.2
productivity (a)
Labour input (b) 1.9 1.8 2.7 1.3 1.0
ILO unemployment 8.0 7.6 6.2 5.6 5.5
rate (%)
Current account -3.7 -4.5 -5.9 -5.7 -5.6
(% of GDP)
Total managed 43.9 41.1 40.6 39.5 38.8
expenditure
(% of GDP)
Public sector net 8.1 5.3 5.2 4.1 3.1
borrowing
(% of GDP)
Public sector net 74.6 78.3 80.6 81.6 80.2
debt (% of GDP)
Effective 104.2 102.9 111.0 118.6 121.0
exchange rate
(2011 = 100)
Bank Rate (%) 0.5 0.5 0.5 0.5 0.8
3 month interest 0.8 0.5 0.5 0.6 1.0
rates (%)
10 year interest 1.8 2.4 2.5 1.9 2.5
rates (%)
2017 2018 2019 2020 2021-25
GDP (market prices) 2.6 2.7 2.5 2.5 2.3
Average earnings 2.7 3.2 3.5 3.4 3.5
GDP deflator 1.1 1.9 2.2 2.1 2.1
(market prices)
Consumer Prices Index 1.5 2.1 2.2 2.0 2.1
Per capita GDP 1.9 2.0 1.9 1.9 1.7
Whole economy 1.7 1.7 1.8 2.0 2.0
productivity (a)
Labour input (b) 0.9 1.0 0.7 0.5 0.3
ILO unemployment 5.3 5.1 5.1 5.2 5.6
rate (%)
Current account -5.2 -4.4 -3.7 -3.4 -3.4
(% of GDP)
Total managed 38.0 36.9 35.9 36.0 37.0
expenditure
(% of GDP)
Public sector net 1.9 0.7 -0.3 -0.5 0.3
borrowing
(% of GDP)
Public sector net 79.7 77.6 74.3 70.9 62.7
debt (% of GDP)
Effective 121.0 121.2 121.3 121.4 121.2
exchange rate
(2011 = 100)
Bank Rate (%) 1.3 1.8 2.2 2.6 3.7
3 month interest 1.5 2.0 2.4 2.8 3.8
rates (%)
10 year interest 2.9 3.3 3.6 3.8 4.1
rates (%)
Notes: (a) Per hour, (b) Total hours worked.
Table 1. Summary of the forecast
Percentage change
2012 2013 2014 2015 2016
GDP 0.7 1.7 3.0 2.5 2.4
Per capita GDP 0.0 1.0 2.2 1.8 1.7
CPI Inflation 2.8 2.6 1.4 0.0 1.0
RPIX Inflation 3.2 3.1 2.4 1.0 1.9
RPDI 1.6 0.1 0.8 4.0 2.8
Unemployment, % 8.0 7.6 6.2 5.6 5.5
Bank Rate, % 0.5 0.5 0.5 0.5 0.8
Long Rates, % 1.8 2.4 2.5 1.9 2.5
Effective exchange rate 4.2 -1.2 7.9 6.9 2.0
Current account as % of GDP -3.7 -4.5 -5.9 -5.7 -5.6
PSNB as % of GDPW 7.3 5.6 4.6 4.1 2.8
PSND as % of GDPOO 77.4 79.7 81.0 80.1 80.1
2017 2018 2019 2020
GDP 2.6 2.7 2.5 2.5
Per capita GDP 1.9 2.0 1.9 1.9
CPI Inflation 1.5 2.1 2.2 2.0
RPIX Inflation 2.1 2.7 2.7 2.6
RPDI 2.9 2.8 2.8 2.9
Unemployment, % 5.3 5.1 5.1 5.2
Bank Rate, % 1.3 1.8 2.2 2.6
Long Rates, % 2.9 3.3 3.6 3.8
Effective exchange rate 0.0 0.1 0.1 0.1
Current account as % of GDP -5.2 -4.4 -3.7 -3.4
PSNB as % of GDPW 1.6 0.4 -0.5 -0.5
PSND as % of GDPOO 78.6 75.6 72.0 69.2
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.
Table 2. Destination country shares of total UK exports
UK goods exports (per
cent of total) (a)
2003 2008 2013
Germany 11.2 11.1 9.9
France 10.0 7.1 6.9
Rest of EU 38.1 37.8 33.6
Russia 0.8 1.7 1.7
Rest of Europe 3.7 4.5 5.1
United States 15.1 13.9 13.2
Brazil 0.4 0.7 0.9
Rest of the Americas 2.7 2.5 2.9
Japan 1.9 1.5 1.6
China 1.3 2.4 4.3
India 1.5 2.1 2.0
Rest of Asia 9.0 9.8 12.6
Australasia 1.4 1.4 1.6
Africa 2.8 3.6 3.6
UK service exports
(per cent of
total) (b)
2003 2008 2013
Germany 7.7 7.0 6.0
France 6.1 6.0 5.3
Rest of EU 27.2 28.5 24.3
Russia 0.7 1.1 1.1
Rest of Europe 8.3 9.5 10.8
United States 22.9 19.9 24.2
Brazil 0.3 0.5 0.6
Rest of the Americas 4.8 6.2 5.8
Japan 3.7 1.9 2.4
China 1.0 1.3 2.1
India 0.8 1.1 1.0
Rest of Asia 10.2 10.0 10.0
Australasia 2.6 2.8 3.1
Africa 3.6 4.3 3.3
Source: ONS Pink Book, 2014.
Notes: (a) May not sum to 100 due to rounding, (b) May not sum to
100 due to rounding; service exports to international
organisations excluded.
Table 3. Summer Budget 2015 policy decisions
2015-16 2016-17 2017-18 2018-19 2019-20
PSCE in RDEL -1.3 17.2 27.0 28.3 12.1
Net investment -0.9 -0.7 -0.8 -0.7 -1.3
Discretionary 1.0 4.0 5.1 6.8 5.8
tax policy
Discretionary -0.1 -5.0 -7.0 -9.4 -12.1
welfare policy
Source: Office for Budget Responsibility (2015), Economic and
Fiscal Outlook, July, tables 4.14 and A.1.
Notes: PSCE in RDEL is public sector current expenditure in
Resource Departmental Expenditure Limits.