Elections are times of peak deception. Political parties have several ways in which they can use data to persuade people to vote for them. At one extreme, they can simply make up ‘facts’ – in other words, they can lie. There have been various examples of such lies in the run-up to the UK general election of 12 December 2019. The linked article below gives some examples. But data can be used in other deceptive ways, short of downright lies.
Politicians can use data in two ways. First, statistics can be used to describe, explain and interpret the past. Second, they can be used as the basis of forecasts of the future effects of policies.
In terms of past data, one of the biggest means of deception is the selective use of data. If you are the party currently in power, you highlight the good news and ignore the bad. You do the reverse if you are currently in opposition. The data may be correct, but selective use of data can give a totally false impression of events.
In terms of forecast data, you highlight those forecasts, or elements of them, that are favourable to you and ignore those that are not.
Politicians rely on people’s willingness to look selectively at data. People want to see ‘evidence’ that reinforces their political views and prejudices. News media know this and happily do the same as politicians, selectively using data favourable to their political leanings. And it’s not just newspapers that do this. There are many online news sites that feed their readers with data supportive of their position. And there are many social media platforms, where people can communicate with people in their political ‘bubble’.
Genuine fact-checking sites can help, as can independent forecasters, such as the Institute for Fiscal Studies. But too many voters would rather only look at evidence, genuine or not, that supports their political point of view.
This can make life hard for economists who seek to explain the world with an open mind, based on a non-biased use of evidence – and hard for economic forecasters, who want to use full and accurate data in their models and to make realistic assumptions, emphasising that their forecasts are only the most likely outcome, not a certainty. As the article states:
Economic forecasts are flawed and their limitations should be acknowledged. But they should not be blindly dismissed as fake facts. And as far as political debate and discourse is concerned, in the long run, the truth may will out.
Article
Questions
- Give some specific examples of ways in which politicians misuse data.
- Give some specific examples of ways in which politicians misuse the analysis of economists.
- Distinguish between positive and normative statements? Should economists make policy recommendations? If so, in what context?
- Why are economic forecasts flawed, but why should they not be dismissed as ‘fake facts’?
- Examine the manifestos of two political parties and provide a critique of their economic analysis.
The Institute of Fiscal Studies (IFS) has just published its annual ‘Green Budget‘. This is, in effect, a pre-Budget report (or a substitute for a government ‘Green Paper’) and is published ahead of the government’s actual Budget.
The Green Budget examines the state of the UK economy, likely economic developments and the implications for macroeconomic policy. This latest Green Budget is written in the context of Brexit and the growing likelihood of a hard Brexit (i.e. a no-deal Brexit). It argues that the outlook for the public finances has deteriorated substantially and that the economy is facing recession if the UK leaves the EU without a deal.
It predicts that:
Government borrowing is set to be over £50 billion next year (2.3% of national income), more than double what the OBR forecast in March. This results mainly from a combination of spending increases, a (welcome) change in the accounting treatment of student loans, a correction to corporation tax revenues and a weakening economy. Borrowing of this level would breach the 2% of national income ceiling imposed by the government’s own fiscal mandate, with which the Chancellor has said he is complying.
A no-deal Brexit would worsen this scenario. The IFS predicts that annual government borrowing would approach £100 billion or 4% of GDP. National debt (public-sector debt) would rise to around 90% of GDP, the highest for over 50 years. This would leave very little scope for the use of fiscal policy to combat the likely recession.
The Chancellor, Sajid Javid, pledged to increase public spending by £13.4bn for 2020/21 in September’s Spending Review. This was to meet the Prime Minister’s pledges on increased spending on police and schools. This should go some way to offset the dampening effect on aggregate demand of a no-deal Brexit. The government has also stated that it wishes to cut various taxes, such as increasing the threshold at which people start paying the 40% rate of income tax from £50 000 to £80 000. But even with a ‘substantial’ fiscal boost, the IFS expects little or no growth for the two years following Brexit.
But can fiscal policy be used over the longer term to offset the downward shock of Brexit, and especially a no-deal Brexit? The problem is that, if the government wishes to prevent government borrowing from soaring, it would then have to start reining in public spending again. Another period of austerity would be likely.
There are many uncertainties in the IFS predictions. The nature of Brexit is the obvious one: deal, no deal, a referendum and a remain outcome – these are all possibilities. But other major uncertainties include business and consumer sentiment. They also include the state of the global economy, which may see a decline in growth if trade wars increase or if monetary easing is ineffective (see the blog: Is looser monetary policy enough to stave off global recession?).
Articles
IFS Report
Data
Questions
- Why would a hard Brexit reduce UK economic growth?
- To what extent can expansionary fiscal policy stave off the effects of a hard Brexit?
- Does it matter if national debt (public-sector debt) rises to 90% or even 100% of GDP? Explain.
- Find out the levels of national debt as a percentage of GDP of the G7 countries. How has Japan managed to sustain such a high national debt as a percentage of GDP?
- How can an expansionary monetary policy make it easier to finance the public-sector debt?
- How has investment in the UK been affected by the Brexit vote in 2016? Explain.
With the prospects of weaker global economic growth and continuing worries about trade wars, central banks have been loosening monetary policy. The US central bank, the Federal Reserve, lowered its target Federal Funds rate in both July and September. Each time it reduced the rate by a quarter of a percentage point, so that it now stands at between 1.75% and 2%.
The ECB has also cut rates. In September it reduced the overnight deposit rate for banks from –0.4% to –0.5%, leaving the main rate at 0%. It also introduced a further round of quantitative easing, with asset purchases of €20 billion per month from 1 November and lasting until the ECB starts raising interest rates.
The Australian Reserve Bank has cut its ‘cash rate‘ three times this year and it now stands at an historically low level of 0.75%. Analysts are predicting that it may be forced to introduce quantitative easing if lower interest rates fail to stimulate growth.
Japan continues with its programme of quantitative easing (QE) and other central banks are considering lowering interest rates and/or (further) QE.
But there are two key issues with looser monetary policy.
The first is whether it will be sufficient to provide the desired stimulus. With interest rates already at or near historic lows (although slightly above in the case of the USA), there is little scope for further reductions. QE may help, but without a rise in confidence, the main effect of the extra money may simply be a rise in the price of assets, such as property and shares. It may result in very little extra spending on consumption and investment – in other words, very little extra aggregate demand.
The second is the effect on inequality. By inflating asset prices, QE rewards asset owners. The wealthier people are, the more they will gain.
Many economists and commentators are thus calling for the looser monetary policy to be backed up by expansionary fiscal policy. The boost to aggregate demand, they argue, should come from higher public spending, with governments able to borrow at very low interest rates because of the loose monetary policy. Targeted spending on infrastructure would have a supply-side benefit as well as a demand-side one.
Articles
- European Central Bank cuts its deposit rate, launches new bond-buying program
CNBC, Elliot Smith (12/9/19)
- Can monetary policies help prevent a global recession?
Investment Week, Martin Gilbert (7/10/19)
- Draghi’s Utmost Is Still Not Enough
Bloomberg, John Authers (13/9/19)
- Draghi puts heat on politicians to boost fiscal stimulus with his ECB swan song
MarketWatch, William Watts (12/9/19)
- To infinity and beyond: ECB’s quantitative easing
EJ Insight, Raphael Olszyna-Marzys (2/10/19)
- The dangers of negative interest rates
Money Week, Merryn Somerset Webb (7/10/19)
- Schwarzman: Europe could enter Japan-style stagnation if governments don’t start spending
CNBC, Elliot Smith (7/10/19)
- US Fed cuts interest rates for second time since 2008
BBC News, Andrew Walker (18/9/19)
- Current Federal Reserve Interest Rates and Why They Change
The Balance, Kimberly Amadeo (19/9/19)
- Federal Reserve Interest Rate Cuts Alone Can’t Prevent a Recession
Barron’s, Al Root (4/10/19)
- Why is the Fed pumping money into the banking system?
BBC News, Natalie Sherman (19/9/19)
- Top of Lagarde’s ECB to-do list: stop QE and democratise monetary policy
Social Europe, Jens van’t Klooster (25/9/19)
- Economists warn Reserve Bank could be forced to print money if rate cuts fail to deliver
The Guardian, Martin Farrer (2/10/19)
- A very large gamble: evidence on Quantitative Easing in the US and UK
Institute for Policy Research. Policy Brief, Chris Martin and Costas Milas
- The verdict on 10 years of quantitative easing
The Guardian, Richard Partington (8/3/19)
ECB Press Conference
Questions
- Explain what is meant by quantitative easing.
- What determines the effectiveness of quantitative easing?
- Why is President Trump keen for the Federal Reserve to pursue more aggressive interest rate cuts?
- What is the Bank of England’s current attitude towards changing interest rates and/or further quantitative easing?
- What are the current advantages and disadvantages of governments pursuing a more expansionary fiscal policy?
- Compare the relative merits of quantitative easing through asset purchases and the use of ‘helicopter money’.
It’s been a while since I last blogged about labour markets and, in particular, about the effect of automation on wages and employment. My most recent post on this topic was on the 14th of April 2018 and it was mostly a reflection on some interesting findings that had been reported by Acemoglu et al (2017). More specifically, Acemoglu and Restrepo (2017) developed a theoretical framework to evaluate the effect of AI on employment and wages. They concluded that the effect was negative and potentially sizeable (for a more detailed discussion see my blog).
Using a model in which robots compete against human labor in the production of different tasks, we show that robots may reduce employment and wages … According to our estimates, one more robot per thousand workers reduces the employment to population ratio by about 0.18–0.34 percentage points and wages by 0.25–0.5 percent.
Since then, I have seen a constant stream of news on my news feed about the development of ever more advanced industrial robots and artificial intelligence. And this was not because of some spooky coincidence (or worse). It has been merely a reflection of the speed at which technology has been progressing in this field.
There are now robots that can run, jump, hold conversations with humans, do gymnastics (and even sweat for it!) and more. It is really impressive how fast change has been happening recently in this field – and, unsurprisingly, it has stimulated the interest of labour economists!
A paper that has recently come to my attention on this subject is by Graetz and Michaels (2018). The authors put together a panel dataset on robot adoption within seventeen countries from 1993 to 2007 and use advanced econometric techniques to evaluate the effect of these technologies on employment and productivity growth. Their analysis focuses exclusively on developed economies (due to data limitations, as they explain) – but their results are nevertheless intriguing:
We study here for the first time the relationship between industrial robots and economic outcomes across much of the developed world. Using a panel of industries in seventeen countries from 1993 to 2007, we find that increased use of industrial robots is associated with increases in labor productivity. We find that the contribution of increased use of robots to productivity growth is substantial and calculate using conservative estimates that it comes to 0.36 percentage points, accounting for 15% of the aggregate economy-wide productivity growth.
The pattern that we document is robust to including various controls for country trends and changes in the composition of labor and other capital inputs. We also find that robot densification is associated with increases in both total factor productivity and wages, and reductions in output prices. We find no significant relationship between the increased use of industrial robots and overall employment, although we find that robots may be reducing the employment of low-skilled workers.
This is very positive news for most – except, of course, for low-skilled workers. Indeed, like Acemoglu and Restrepo (2017) and many others, this study shows that the effect of automation on employment and labour market outcomes is unlikely to be uniform across all types of workers. Low-skilled workers are found again to be likely to lose out and be significantly displaced by these technologies.
And if you are wondering which sectors are likely to be disrupted most/first by automation, the rankings developed by McKinsey and Company (see chart below) would give you an idea of where the disruption is likely to start. Unsurprisingly, the sectors that seem to be the most vulnerable, are the ones that use the highest share of low-skilled labour.
Articles
Questions
- “The effect of automation on wages and employment is likely to be positive overall”. Discuss.
- Using examples and anecdotal evidence, do you agree with these findings?
- Using Google Scholar, put together a list of 5 recent (i.e. 2015 or later) articles and working papers on labour markets and automation. Compare and discuss their findings.
Donald Trump has suggested that the Fed should cut interest rates by 1 percentage point and engage in a further round of quantitative easing. He wants to see monetary policy used to give a substantial boost to US economic growth at a time when inflation is below target. In a pair of tweets just before the meeting of the Fed to decide on interest rates, he said:
China is adding great stimulus to its economy while at the same time keeping interest rates low. Our Federal Reserve has incessantly lifted interest rates, even though inflation is very low, and instituted a very big dose of quantitative tightening. We have the potential to go up like a rocket if we did some lowering of rates, like one point, and some quantitative easing. Yes, we are doing very well at 3.2% GDP, but with our wonderfully low inflation, we could be setting major records &, at the same time, make our National Debt start to look small!
But would this be an appropriate policy? The first issue concerns the independence of the Fed.
It is supposed to take decisions removed from the political arena. This means sticking to its inflation target of 2 per cent over the medium term – the target it has officially had since January 2012. To do this, it adjusts the federal funds interest rate and the magnitude of any bond buying programme (quantitative easing) or bond selling programme (quantitative tightening).
The Fed is supposed to assess the evidence concerning the pressures on inflation (e.g. changes in aggregate demand) and what inflation is likely to be over the medium term in the absence of any changes in monetary policy. If the Federal Open Market Committee (FOMC) expects inflation to exceed 2 per cent over the medium term, it will probably raise the federal funds rate; if it expects inflation to be below the target it will probably lower the federal funds rate.
In the case of the economy being in recession, and thus probably considerably undershooting the target, it may also engage in quantitative easing (QE). If the economy is growing strongly, it may sell some of its portfolio of bonds and thus engage in quantitative tightening (QT).
Since December 2015 the Fed has been raising interest rates by 0.25 percentage points at a time in a series of steps, so that the federal funds rate stands at between 2.25% and 2.5% (see chart). And since October 2017, it has also been engaged in quantitative tightening. In recent months it has been selling up to $50 billion of assets per month from its holdings of around $4000 billion and so far has reduced them by around £500 billion. It has, however, announced that the programme of QT will end in the second half of 2019.
This does raise the question of whether the FOMC is succumbing to political pressure to cease QT and put interest rate rises on hold. If so, it is going against its remit to base its policy purely on evidence. The Fed, however, maintains that its caution reflects uncertainty about the global economy.
The second issue is whether Trump’s proposed policy is a wise one.
Caution about further rises in interest rates and further QT is very different from the strongly expansionary monetary policy that President Trump proposes. The economy is already growing at 3.2%, which is above the rate of growth in potential output, of around 1.8% to 2.0%. The output gap (the percentage amount that actual GDP exceeds potential GDP) is positive. The IMF forecasts that the gap will be 1.4% in 2019 and 1.3% in 2020 and 2021. This means that the economy is operating at above normal capacity working and this will eventually start to drive up inflation. Any further stimulus will exacerbate the problem of excess demand. And a large stimulus, as proposed by Donald Trump, will cause serious overheating in the medium term, even if it does stimulate growth in the short term.
For these reasons, the Fed resisted calls for a large cut in interest rates and a return to quantitative easing. Instead it chose to keep interest rates on hold at its meeting on 1 May 2019.
But if the Fed had done as Donald Trump would have liked, the economy would probably be growing very strongly at the time of the next US election in November next year. It would be a good example of the start of a political business cycle – something that is rarer nowadays with the independence of central banks.
Articles
FOMC meeting
Questions
- What are the arguments for central bank independence?
- Are there any arguments against central bank independence?
- Explain what is meant by an ‘output gap’? Why is it important to be clear on what is meant by ‘potential output’?
- Would there be any supply-side effects of a strong monetary stimulus to the US economy at the current time? If so, what are they?
- Explain what is meant by the ‘political business’ cycle? Are governments in the UK, USA or the eurozone using macroeconomic policy to take advantage of the electoral cycle?
- The Fed seems to be ending its programme of quantitative tightening (QT). Why might that be so and is it a good idea?
- If inflation is caused by cost-push pressures, should central banks stick rigidly to inflation targets? Explain.
- How are expectations likely to affect the success of a monetary stimulus?
