Category: Economics 10e: Ch 21

It is impossible to make both precise and accurate forecasts of a country’s rate of economic growth, even a year ahead. And the same goes for other macroeconomic variables, such as the rate of unemployment or the balance of trade. The reason is that there are so many determinants of these variables, such as political decisions or events, which themselves are unpredictable. Economics examines the effects of human interactions – it is a social science, not a natural science. And human behaviour is hard to forecast.

Leading indicators

Nevertheless, economists do make forecasts. These are best estimates, taking into account a number of determinants that can be currently measured, such as tax or interest rate changes. These determinants, or ‘leading indicators’, have been found to be related to future outcomes. For example, surveys of consumer and business confidence give a good indication of future consumer expenditure and investment – key components of GDP.

Leading indicators do not have to be directly causal. They could, instead, be a symptom of underlying changes that are themselves likely to affect the economy in the future. For example, changes in stock market prices may reflect changes in confidence or changes in liquidity. It is these changes that are likely to have a direct or indirect causal effect on future output, employment, prices, etc.

Macroeconomic models show the relationships between variables. They show how changes in one variable (e.g. increased investment) affect other variables (e.g. real GDP or productivity). So when an indicator changes, such as a rise in interest rates, economists use these models to estimate the likely effect, assuming other things remain constant (ceteris paribus). The problem is that other things don’t remain constant. The economy is buffeted around by a huge range of events that can affect the outcome of the change in the indicator or the variable(s) it reflects.

Forecasting can never therefore be 100% accurate (except by chance). Nevertheless, by carefully studying leading indicators, economists can get a good idea of the likely course of the economy.

Leading indicators of the US economy

At the start of 2019, several leading indicators are suggesting the US economy is likely to slow and might even go into recession. The following are some of the main examples.

Political events. This is the most obvious leading indicator. If decisions are made that are likely to have an adverse effect on growth, a recession may follow. For example, decisions in the UK Parliament over Brexit will directly impact on UK growth.

As far as the USA is concerned, President Trump’s decision to put tariffs on steel and aluminium imports from a range of countries, including China, the EU and Canada, led these countries to retaliate with tariffs on US imports. A tariff war has a negative effect on growth. It is a negative sum game. Of course, there may be a settlement, with countries agreeing to reduce or eliminate these new tariffs, but the danger is that the trade war may continue long enough to do serious damage to global economic growth.

But just how damaging it is likely to be is impossible to predict. That depends on future political decisions, not just those of the recent past. Will there be a global rise in protectionism or will countries pull back from such a destructive scenario? On 29 December, President Trump tweeted, ‘Just had a long and very good call with President Xi of China. Deal is moving along very well. If made, it will be very comprehensive, covering all subjects, areas and points of dispute. Big progress being made!’ China said that it was willing to work with the USA over reaching a consensus on trade.

Rises in interest rates. If these are in response to a situation of excess demand, they can be seen as a means of bringing inflation down to the target level or of closing a positive output gap, where real national income is above its potential level. They would not signify an impending recession. But many commentators have interpreted rises in interest rates in the USA as being different from this.

The Fed is keen to raise interest rates above the historic low rates that were seen as an ’emergency’ response to the financial crisis of 2007–8. It is also keen to reverse the policy of quantitative easing and has begun what might be described as ‘quantitative tightening’: not buying new bonds when existing ones that it purchased during rounds of QE mature. It refers to this interest rate and money supply policy as ‘policy normalization‘. The Fed maintains that such policy is ‘consistent with sustained expansion of economic activity, strong labor market conditions, and inflation near the Committee’s symmetric 2 percent objective over the medium term’.

However, many commentators, including President Trump, have accused the Fed of going too fast in this process and of excessively dampening the economy. It has already raised the Federal Funds Rate nine times by 0.25 percentage points each time since December 2015 (click here for a PowerPoint file of the chart). What is more, announcing that the policy will continue makes such announcements themselves a leading indicator of future rises in interest rates, which are a leading indicator of subsequent effects on aggregate demand. The Fed has stated that it expects to make two more 0.25 percentage point rises during 2019.

Surveys of consumer and business confidence. These are some of the most significant leading indicators as consumer confidence affects consumer spending and business confidence affects investment. According to the Duke CFO Global Business Outlook, an influential survey of Chief Financial Officers, ‘Nearly half (48.6 per cent) of US CFOs believe that the US will be in recession by the end of 2019, and 82 per cent believe that a recession will have begun by the end of 2020’. Such surveys can become self-fulfilling, as a reported decline in confidence can itself undermine confidence as both firms and consumers ‘catch’ the mood of pessimism.

Stock market volatility. When stock markets exhibit large falls and rises, this is often a symptom of uncertainty; and uncertainty can undermine investment. Stock market volatility can thus be a leading indicator of an impending recession. One indicator of such volatility is the VIX index. This is a measure of ’30-day expected volatility of the US stock market, derived from real-time, mid-quote prices of S&P 500® Index (SPXSM) call and put options. On a global basis, it is one of the most recognized measures of volatility – widely reported by financial media and closely followed by a variety of market participants as a daily market indicator.’ The higher the index, the greater the volatility. Since 2004, it has averaged 18.4; from 17 to 28 December 2018, it averaged 28.8. From 13 to 24 December, the DOW Jones Industrial Average share index fell by 11.4 per cent, only to rise by 6.2 per cent by 27 December. On 26 December, the S&P 500 index rallied 5 per cent, its best gain since March 2009.

Not all cases of market volatility, however, signify an impending recession, but high levels of volatility are one more sign of investor nervousness.

Oil prices. When oil prices fall, this can be explained by changes on the demand and/or supply side of the oil market. Oil prices have fallen significantly over the past two months. Until October 2018, oil prices had been rising, with Brent Crude reaching $86 per barrel by early October. By the end of the year the price had fallen to just over $50 per barrel – a fall of 41 per cent. (Click here for a PowerPoint file of the chart.) Part of the explanation is a rise in supply, with shale oil production increasing and also increased output from Russia and Saudi Arabia, despite a commitment by the two countries to reduce supply. But the main reason is a fall in demand. This reflects both a fall in current demand and in anticipated future demand, with fears of oversupply causing oil companies to run down stocks.

Falling oil prices resulting from falling demand are thus an indicator of lack of confidence in the growth of future demand – a leading indicator of a slowing economy.

The yield curve. This depicts the yields on government debt with different lengths to maturity at a given point in time. Generally, the curve slopes upwards, showing higher rates of return on bonds with longer to maturity. This is illustrated by the blue line in the chart. (Click here for a PowerPoint file of the chart.) This is as you would expect, with people requiring a higher rate of return on long-term lending, where there is normally greater uncertainty. But, as the Bloomberg article, ‘Don’t take your eyes off the yield curve‘ states:

Occasionally, the curve flips, with yields on short-term debt exceeding those on longer bonds. That’s normally a sign investors believe economic growth will slow and interest rates will eventually fall. Research by the Federal Reserve Bank of San Francisco has shown that an inversion has preceded every US recession for the past 60 years.
 
The US economy is 37 quarters into what may prove to be its longest expansion on record. Analysts surveyed by Bloomberg expect gross domestic product growth to come in at 2.9 percent this year, up from 2.2 percent last year. Wages are rising as unfilled vacancies hover near all-time highs.
 
With times this good, the biggest betting game on Wall Street is when they’ll go bad. Barclays Plc, Goldman Sachs Group Inc., and other banks are predicting inversion will happen sometime in 2019. The conventional wisdom: Afterward it’s only a matter of time – anywhere from 6 to 24 months – before a recession starts.

As you can see from the chart, the yield curve on 24 December 2018 was still slightly upward sloping (expect between 6-month and 1-year bonds) – but possibly ready to ‘flip’.

However, despite the power of an ‘inverted’ yield in predicting previous recessions, it may be less reliable now. The Fed, as we saw above, has already signalled that it expects to increase short-term rates in 2019, probably at least twice. That alone could make the yield curve flatter or even downward sloping. Nevertheless, it is still generally thought that a downward sloping yield curve would signal belief in a likely slowdown, if not outright recession.

So, is the USA heading for recession?

The trouble with indicators is that they suggest what is likely – not what will definitely happen. Governments and central banks are powerful agents. If they believed that a recession was likely, then fiscal and monetary policy could be adjusted. For example, the Fed could halt its interest rate rises and quantitative tightening, or even reverse them. Also, worries about protectionism may subside if the USA strikes new trade deals with various countries, as it did with Canada and Mexico in USMCA.

Articles

Surveys and Data

Questions

  1. Define the term ‘recession’.
  2. Are periods of above-trend expansion necessarily followed by a recession?
  3. Give some examples of leading indicators other than those given above and discuss their likely reliability in predicting a recession.
  4. Find out what has been happening to confidence levels in the EU over the past 12 months. Does this provide evidence of an impending recession in the EU?
  5. For what reasons may there be lags between a change in an indicator and a change in the variables for which it is an indicator?
  6. Why has the shape of the yield curve previously been a good predictor of the future course of the economy? Is it likely to be at present?
  7. What is the relationship between interest rates, government bond prices (‘Treasuries’ in the USA) and the yield on such bonds?

The latest consumer confidence figures from the European Commission point to consumer confidence in the UK remaining at around its long-term average. Despite this, confidence is markedly weaker than before the outcome of the EU referendum. Yet, the saving ratio, which captures the proportion of disposable income saved by the household sector, is close to its historic low. We consider this apparent puzzle and whether we can expect the saving ratio to rise.

The European Commission’s consumer confidence measure is a composite indicator based on the balance of responses to 4 forward-looking questions relating to the financial situation of households, the general economic situation, unemployment expectations and savings.

Chart 1 shows the consumer confidence indicator for the UK. The long-term average (median) of –6.25 shows that negative responses across the four questions typically outweigh positive responses. In October 2018 the confidence balance stood at –5.2, essentially unchanged from its September value of –5.8. While above the long-term average, recent values mark a weakening in confidence from levels before the EU referendum. At the beginning of 2016 the aggregate confidence score was running at around +4. (Click here to download a PowerPoint of the chart.)

Chart 1 shows two periods where consumer confidence fell markedly. The first was in the early 1990s. In 1990 the UK joined the Exchange Rate Mechanism (ERM). This was a semi-fixed exchange rate system whereby participating EU countries allowed fluctuations against each other’s currencies, but only within agreed bands, while being able to collectively float freely against all other currencies. In attempting to staying in the ERM, the UK was obliged to raise interest rates in order to protect the pound. The hikes to rates contributed to a significant dampening of aggregate demand and the economy slid into recession. Britain crashed out of the ERM in September 1992.

The second period of declining confidence was during the global financial crisis in the late 2000s. The retrenchment among financial institutions meant a significant tightening of credit conditions. This too contributed to a significant dampening of aggregate demand and the economy slid into recession. Whereas the 1992 recession saw the UK national output contract by 2.0 percent, this time national output fell by 6.3 per cent.

The collapses in confidence from 1992 and from 2007/08 are likely to have helped propagate the effects of the fall in aggregate demand that were already underway. The weakening of confidence in 2016 is perhaps a better example of a ‘confidence shock’, i.e. a change in aggregate demand originating from a change in confidence. Nonetheless, a fall in confidence, whether it amplifies existing shocks or is the source of the shock, is often taken as a signal of greater economic uncertainty. If we take this greater uncertainty to reflect a greater range of future income outcomes, including potential income losses, then households may look to insure themselves by increasing current saving.

It is usual to assume that people suffer from diminishing marginal utility of total consumption. This means that while total satisfaction increases as we consume more, the additional utility from consuming more (marginal utility) decreases. An implication of this is that a given loss of consumption reduces utility by more than an equivalent increase in consumption increases utility. This explains why people prefer more consistent consumption levels over time and so engage in consumption smoothing. The utility, for example, from an ‘average’ consumption level across two time periods, is higher, than the expected utility from a ‘low’ level of consumption in period 1 and a ‘high’ level of consumption in period 2. This is because the loss of utility from a ‘low’ level of consumption relative to the ‘average’ level is greater than the additional utility from the ‘high’ level relative to the ‘average’ level.

If greater uncertainty, such as that following the EU referendum, increases the range of possible ‘lower’ consumption values in the future even when matched by an increase in the equivalent range of possible ‘higher’ consumption values, then expected future utility falls. The incentive therefore is for people to build up a larger buffer stock of saving to minimise utility losses if the ‘bad state’ occurs. Hence, saving which acts as a from of self-insurance in the presence of uncertainty is known as buffer-stock saving or precautionary saving.

Chart 2 plots the paths of the UK household-sector saving ratio and consumer confidence. The saving ratio approximates the proportion of disposable income saved by the household sector. What we might expect to see if more uncertainty induces buffer-stock saving is for falls in confidence to lead to a rise in the saving ratio. Conversely, less uncertainty as proxied by a rise in confidence would lead to a fall in the saving ratio. (Click here to download a PowerPoint of the chart.)

The chart provides some evidence that of this. The early 1990s and late 2000s certainly coincided with both waning confidence and a rising saving ratio. The saving ratio rose to as high as 15.2 per cent in 1993 and 12.0 per cent in 2009. Meanwhile the rising confidence seen in the late 1990s coincided with a fall in the saving ratio to 4.7 per cent in 1999.

As Chart 2 shows, the easing of confidence since 2016 has coincided with a period where the saving ratio has been historically low. Across 2017 the saving ratio stood at just 4.5 per cent. In the first half of 2018 the ratio averaged just 4.2 per cent. While the release of the official figures for the saving ratio are less timely than those for confidence, the recent very low saving ratio may be seen to raise concerns. Can softer confidence data continue to co-exist with such a low saving ratio?

There are a series of possible explanations for the recent lows in the saving ratio. On one hand, the rate of price inflation has frequently exceeded wage inflation in recent years so eroding the real value of earnings. This has stretched household budgets and limited the amount of discretionary income available for saving. On the other hand, unemployment rates have fallen to historic lows. The rate of unemployment in the three months to August stood at 4 per cent, the lowest since 1975. Unemployment expectations are important in determining levels of buffer stock saving because of the impact of unemployment on household budgets.

Another factor that has fuelled the growth of spending relative to income, has been the growth of consumer credit. In the period since July 2016, the annual rate of growth of consumer credit, net of repayments, has averaged 9.7 per cent. Behavioural economists argue that foregoing spending can be emotionally painful. Hence, spending has the potential to exhibit more stickiness than might otherwise be predicted in a more uncertain environment or in the anticipation of income losses. Therefore, the reluctance or inability to wean ourselves off credit and spending might be a reason for the continuing low saving ratio.

We wait to see whether the saving ratio increases over the coming months. However, for now, the UK household sector appears to be characterised by low saving and fragile confidence. Whether or not this is a puzzle, is open to question. Nonetheless, it does appear to carry obvious risks should weaker income growth materialise.

Articles

Questions

  1. Draw up a series of factors that you think might affect consumer confidence.
  2. Which of the following statements is likely to be more accurate: (a) Consumer confidence drives economic activity or (b) Economic activity drives consumer confidence?
  3. What macroeconomic indicators would those compiling the consumer confidence indicator expect the indicator to predict?
  4. How does the diminishing marginal utility of consumption (or income) help explain why people engage in buffer stock saving (precautionary saving)?
  5. How might uncertainty affect consumer confidence?
  6. How does greater income uncertainty affect expected utility? What affect might this have on buffer stock saving?

Houses of Parliament: photo JSThe last two weeks have been quite busy for macroeconomists, HM Treasury staff and statisticians in the UK. The Chancellor of the Exchequer, Mr Phillip Hammond, delivered his (fairly upbeat) Spring Budget Statement on 13 March, highlighting among other things the ‘stellar performance’ of UK labour markets. According to a Treasury Press Release:

Employment has increased by 3 million since 2010, which is the equivalent of 1,000 people finding work every day. The unemployment rate is close to a 40-year low. There is also a joint record number of women in work – 15.1 million. The OBR predict there will be over 500,000 more people in work by 2022.

To put these figures in perspective, according to recent ONS estimates, in January 2018 the rate of UK unemployment was 4.3 per cent – down from 4.4 per cent in December 2017. This is the lowest it has been since 1975. This is of course good news: a thriving labour market is a prerequisite for a healthy economy and a good sign that the UK is on track to full recovery from its 2008 woes.

The Bank of England welcomed the news with a mixture of optimism and relief, and signalled that the time for the next interest rate hike is nigh: most likely at the next MPC meeting in May.

But what is the practical implication of all this for UK consumers and workers?

Money: photo JS

For workers it means it’s a ‘sellers’ market’: as more people get into employment, it becomes increasingly difficult for certain sectors to fill new vacancies. This is pushing nominal wages up. Indeed, UK wages increased on average by 2.6 per cent year-to-year.

In real terms, however, wage growth has not been high enough to outpace inflation: real wages have fallen by 0.2 per cent compared to last year. Britain has received a pay rise, but not high enough to compensate for rising prices. To quote Matt Hughes, a senior ONS statistician:

Employment and unemployment levels were both up on the quarter, with the employment rate returning to its joint highest ever. ‘Economically inactive’ people — those who are neither working nor looking for a job — fell by their largest amount in almost five and a half years, however. Total earnings growth continues to nudge upwards in cash terms. However, earnings are still failing to outpace inflation.

An increase in interest rates is likely to put further pressure on indebted households. Even more so as it coincides with the end of the five-year grace period since the launch of the 2013 Help-to-Buy scheme, which means that many new homeowners who come to the end of their five year fixed rate deals, will soon find themselves paying more for their mortgage, while also starting to pay interest on their Help-to-buy government loan.

Will wages grow fast enough in 2018 to outpace inflation (and despite Brexit, which is now only 12 months away)? We shall see.

Articles

Data, Reports and Analysis

Questions

  1. What is monetary policy, and how is it used to fine tune the economy?
  2. What is the effect of an increase in interest rates on aggregate demand?
  3. How optimistic (or pessimistic) are you about the UK’s economic outlook in 2018? Explain your reasoning.

These are challenging times for business. Economic growth has weakened markedly over the past 18 months with output currently growing at an annual rate of around 1.5 per cent, a percentage point below the long-term average. Spending power continues to be squeezed, with the annual rate of inflation in October reported to be running at 3.1 per cent compared to annual earnings growth of 2.5 per cent (see the squeeze continues). Moreover, consumer confidence remains fragile with households continuing to express particular concerns about the general economy and unemployment.

Here, we update our blog of July 2016 which, following the UK vote to leave the European Union, noted the fears for UK growth as confidence fell sharply. Consumer confidence is frequently identified by macro-economists as an important source of economic volatility. Indeed many macro models use a change in consumer confidence as a means of illustrating how economic shocks affect a range of macro variables, including growth, employment and inflation. Many economists agree that, in the short term at least, falling levels of confidence adversely affect activity because aggregate demand falls as households spend less.

The European Commission’s confidence measure is collated from questions in a monthly survey. In the UK around 2000 individuals are surveyed. Across the EU as a whole over 41 000 people are surveyed. In the survey individuals are asked a series of 12 questions which are designed to provide information on spending and saving intentions. These questions include perceptions of financial well-being, the general economic situation, consumer prices, unemployment, saving and the undertaking of major purchases.

The responses elicit either negative or positive responses. For example, respondents may feel that over the next 12 months the financial situation of their household will improve a little or a lot, stay the same or deteriorate a little or a lot. A weighted balance of positive over negative replies can be calculated. The balance can vary from -100, when all respondents choose the most negative option, to +100, when all respondents choose the most positive option.

The European Commission’s principal consumer confidence indicator is the average of the balances of four of the twelve questions posed: the financial situation of households, the general economic situation, unemployment expectations (with inverted sign) and savings, all over the next 12 months. These forward-looking balances are seasonally adjusted. The aggregate confidence indicator is thought to track developments in households’ spending intentions and, in turn, likely movements in the rate of growth of household consumption.

Chart 1 shows the consumer confidence indicator for the UK. The long-term average of –8.6 shows that negative responses across the four questions typically outweigh positive responses. In November 2017 the confidence balance stood at -5.2 roughly on par with its value in the previous two months, though marginally up on values of close to -7 over the summer. However, as recently as the beginning of 2016 the aggregate confidence score was running at around +4. In this context, current levels do constitute a significant change in consumer sentiment, changes which do ordinarily mark similar turning points in economic activity.(Click here to download a PowerPoint of the chart.)

Chart 2 allows to look behind the European Commission’s headline confidence indicator for the UK by looking at its four component balances. From it, we can see a deterioration in all four components. However, by far the most significant change in the individual confidence balances has been the sharp deterioration in expectations for the general economy. In November the forward-looking general economic situation stood at -25.5, compared to its long-run average of -11.6. (Click here to download a PowerPoint of the chart.)

The fall in UK consumer confidence is even more stark when compared to developments in consumer confidence across the whole of the European Union and in the 19 countries that make up the Euro area. Chart 3 shows how UK consumer confidence recovered relatively more strongly following the financial crisis of the late 2000s. The headline confidence indicator rose strongly from the middle of 2013 and was consistently in positive territory during 2014, 2015 and into 2016. The fall in consumer confidence in the UK has seen the headline confidence measure fall below that for the EU and the euro area. (Click here to download a PowerPoint of the chart.)

Consumer (and business) confidence is closely linked to uncertainty. The circumstances following the UK vote to leave the EU have undoubtedly created the conditions for acute uncertainty. Uncertainty breeds caution. Economists sometimes talk about spending being affected by two conflicting motives: prudence and impatience. While impatience creates a desire for spending now, prudence pushes us towards saving and insuring ourselves against uncertainty and unforeseen events. The worry is that the twin forces of fragile confidence and squeezed real earning are weighting heavily in favour of prudence and patience (a reduction in impatience). Going forward, this could create the conditions for a sustained period of subdued growth which, if it were to impact heavily on firms’ investment plans, could adversely impact on the economy’s productive potential. The hope is that the Brexit negotiations can move apace to reduce uncertainty and limit uncertainty’s adverse impact on economic activity.

Articles

UK consumer confidence slips in December – Thomson Reuters/Ipsos Reuters (14/12/17)
UK consumer confidence drops to lowest level since Brexit result Independent, Ben Chu (30/11/17)
2017 set to be worst year for UK consumer spending since 2012, Visa says Independent, Josie Cox, (11/12/17)
Carpetright boss warns of ‘fragile’ consumer confidence after profits plunge Telegraph, Jack Torrance (12/12/17)
UK consumers face sharpest price rise in services for nearly a decade Guardian, Richard Partington (5/12/17)
UK average wage growth undershoots inflation again squeezing real incomes Independent, Josie Cox (13/12/17)
Bank sees boost from Brexit progress BBC News (14/12/17)

Data

Business and Consumer Surveys European Commission

Questions

  1. Draw up a series of factors that you think might affect consumer confidence.
  2. Explain what you understand by a positive and a negative demand-side shock. How might changes in consumer confidence generate demand shocks?
  3. Analyse the ways in which consumer confidence might affect economic activity.
  4. Which of the following statements is likely to be more accurate: (a) Consumer confidence drives economic activity or (b) Economic activity drives consumer confidence?
  5. What macroeconomic indicators would those compiling the consumer confidence indicator expect the indicator to predict?
  6. Analyse the possible short-term and longer-term economic implications of a fall in consumer confidence.
  7. How might uncertainty affect consumer confidence?
  8. What do the concepts of impatience and prudence mean in the context of consumer spending? When consumer confidence falls which of these might become more significant for consumer spending?

UK CPI inflation rose to 3.1% in November. This has forced Mark Carney to write a letter of explanation to the Chancellor – something he is required to do if inflation is more than 1 percentage point above (or below) the target of 2%.

The rise in inflation over the past few months has been caused largely by the depreciation of sterling following the Brexit vote. But there have been other factors at play too. The dollar price of oil has risen by 32% over the past 12 months and there have been large international rises in the price of metals and, more recently, in various foodstuffs. For example, butter prices have risen by over 20% in the past year (although they have declined somewhat recently). Other items that have seen large price rises include books, computer games, clothing and public transport.

The rate of CPI inflation is the percentage increase in the consumer prices index over the previous 12 months. When there is a one-off rise in prices, such as a rise in oil prices, its effect on inflation will only last 12 months. After that, assuming the price does not rise again, there will be no more effect on inflation. The CPI will be higher, but inflation will fall back. The effect may not be immediate, however, as input price changes take a time to work through supply chains.

Given that the main driver of inflation has been the depreciation in sterling, once the effect has worked through in terms of higher prices, inflation will fall back. Only if sterling continued depreciating would an inflation effect continue. So, many commentators are expecting that the rate on inflation will soon begin to fall.

But what will have been the effect on real incomes? In the past 12 months, nominal average earnings have risen by around 2.5% (the precise figures will not be available for a month). This means that real average earnings have fallen by around 0.6%. (Click here for a PowerPoint of the chart.)

For many low-income families the effect has been more severe. Many have seen little or no increase in their pay and they also consume a larger proportion of items whose prices have risen by more than the average. Those on working-age benefits will be particularly badly hit as benefits have not risen since 2015.

If inflation does fall and if real incomes no longer fall, people will still be worse off unless real incomes rise back to the levels they were before they started falling. That could be some time off.

Articles

UK inflation rate at near six-year high BBC News (12/12/17)
Inflation up as food costs jump – and gas crisis threatens worse to come The Telegraph, Tim Wallace (12/12/17)
UK worst for pay growth as rich world soars ahead in 2018 The Telegraph, Tim Wallace (12/12/17)
Inflation rises to 3.1%, adding to UK cost of living squeeze The Guardian, Larry Elliott (12/12/17)
UK inflation breaches target as it climbs to 3.1% Financial Times, Gavin Jackson (12/12/17)
Inflation surges to 3.1% in November, a near six-year high Belfast Telegraph (12/12/17)

Data

CPI annual rate of increase (all items) ONS: series D7G7
Average weekly earnings, annual (3-month average) ONS: series KAC3
UK consumer price inflation: November 2017 ONS Statistical Bulletin (12/12/17)
Commodity prices Index Mundi

Questions

  1. Apart from CPI inflation, what other measures of inflation are there? Explain their meaning.
  2. Why is inflation of 2%, rather than 0%, seen as the optimal rate by most central banks?
  3. Apart from the depreciation of sterling, what other effects is Brexit likely to have on living standards in the UK?
  4. What are the arguments for and against the government raising benefits by the rate of CPI inflation?
  5. If Europe and the USA continue to grow faster than the UK, what effect is this likely to have on the euro/pound and dollar/pound exchange rates? What determines the magnitude of this effect?
  6. Unemployment is at its lowest level since 1975. Why, then, are real wages falling?
  7. Why, in the light of inflation being above target, has the Bank of England not raised Bank Rate again in December (having raised it from 0.25% to 0.5% in November)?