This blog discusses economic issues in the news and relates these news items to key economic concepts and theories. Links are given to a range of articles and other relevant material and each blog post finishes with a set of discussion questions.
Politicians often make use of economic statistics to promote their point of view. A good example is a claim made by the UK Prime Minister on 23 January 2014. According to the latest statistics, he said, most British workers have seen their take-home pay rise in real terms. The Labour party countered this by arguing that incomes are not keeping up with prices.
So who is right? Studying economics and being familiar with analysing economic data should help you answer this question. Not surprisingly, the answer depends on just how you define the issue and what datasets you use.
The Prime Minister was referring to National Statistics’ Annual Survey of Hours and Earnings (ASHE). This shows that in April 2013 median gross weekly earnings for full-time employees were £517.5, up 2.25% from £506.10 in 2012, and mean gross weekly earnings for full-time employees were £620.30, up 2.06% from £607.80 in 2012 (see Table 1.1a in the dataset). CPI inflation over this period was 2.4%, representing a real fall in median gross weekly earnings of 0.15% and mean gross weekly earnings of 0.34%.
But when adjustments are made for increases in personal income tax allowances, then, according to the government, except for the richest 10% of the working population, people had an average increase in real take-home pay of 1.1%.
But does this paint the complete picture? Critics of the government’s claim that people are ‘better off’, make the following points.
First, the ASHE dataset is for the year ending April 2013. The ONS publishes other datasets that show that real wages have fallen faster since then. The Earnings and Working Hours datasets, published monthly, currently go up to November 2013. The chart shows real wages from January 2005 to November 2013 (with CPI = 100 in December 2013). You can see that the downward trend resumed after mid 2013. In the year to November 2013, nominal average weekly earnings rose by 0.9%, while CPI inflation was 2.1%. Thus real weekly earnings fell by 1.2% over the period (click here for a PowerPoint of the chart).
Second, there is the question of whether CPI or RPI inflation should be used in calculating real wages. RPI inflation was 2.9% (compared to CPI inflation of 2.4%) in the year to April 2013. The chart shows weekly earnings adjusted for both CPI and RPI.
Third, if, instead of looking at gross real wages, the effect of income tax and national insurance changes are taken into account, then benefit changes ought also to be taken into account. Some benefits, such as tax credits and child benefit were cut in the year to April 2013.
Fourth, looking at just one year (and not even the latest 12 months) gives a very partial picture. It is better to look at a longer period and see what the trends are. The chart shows the period from 2005. Real wages (CPI adjusted) are 8.0% lower than at the peak (at the beginning of 2009) and 5.0% lower than at the time of the election in 2010. The differences are even greater if RPI-adjusted wages are used.
But even if the claim that real incomes are rising is open to a number of objections, it may be that as the recovery begins to gather pace, real incomes will indeed begin to rise. But to assess whether this is so will require a careful analysis of the statistics when they become available.
World leaders are meeting at the World Economic Forum in Davos, in the Swiss Alps. This annual conference is an opportunity for politicans, economists and businesspeople from around the world to discuss the state of the world economy and to consider policy options.
To coincide with the conference, the BBC’s Newsnight has produced the following slide show, which presents some economic facts about the world economy. The slide show provides no commentary and there is no commentary either in this blog – just some questions for you to ponder.
Using the economics you’ve learned so far, try answering these questions, which focus on the reasons for the patterns in the figures, the likely future patterns and the policy implications.
Go through each of the slides in the Newsnight presentation and select the ones of most interest to you. Then, as an economist, provide an explanation for them.
Identify some patterns over time in the statistics. Then project forward 20 years and discuss whether the patterns are likely to have changed and, if so, why.
What policies could governments adopt to reverse any undesirable trends you have identified? How likely are these policies to be implemented and how successful are they likely to be?
I am an avid tennis fan and have spent many nights and in the last 10 days had many early mornings (3am), where I have been glued to the television, watching in particular Rafael Nadal in the Australian Open. Tennis is one of the biggest sports worldwide and generates huge amounts of revenue through ticket sales, clothing and other accessories, sponsorship, television rights and many other avenues. When I came across the BBC article linked below, I thought it would make an excellent blog!
There are many aspects of tennis (and of every other sport) that can be analysed from a Business and Economics stance. With the cost of living having increased faster than wages, real disposable income for many households is at an all-time low. Furthermore, we have so many choices today in terms of what we do – the entertainment industry has never been so diverse. This means that every form of entertainment, be it sport, music, cinema, books or computer games, is in competition. And then within each of these categories, there’s further competition: do you go to the football or the tennis? Do you save up for one big event and go to nothing else, or watch the big event on TV and instead go to several other smaller events? Tennis is therefore competing in a highly competitive sporting market and a wider entertainment market. The ATP Executive Chairman and President said:
We’ve all got to understand the demands on people’s discretionary income are huge, they are being pulled in loads of different avenues – entertainment options of film, music, sport – so we just need to make sure that our market share remains and hopefully grows as well.
As we know from economic analysis, product differentiation and advertising are key and tennis is currently in a particularly great era when it comes to drawing in the fans, with four global superstars.
However, tennis and all sports are about more than just bringing in the fans to the live events. Sponsorship deals are highly lucrative for players and, in this case, for the ATP and WTA tennis tours. It is lucrative sponsorship deals which create prize money worth fighting for, which help to draw in the best players and this, in turn, helps to draw in the fans and the TV companies.
With technological development, all sports are accessible by wider audiences and tennis is making the most of the fast growth in digital media. Looking at the packaging of tour events and how best to generate revenues through TV rights is a key part of strategic development for the ATP. It goes a long way to showing how even one of the world’s most successful sporting tours is always looking at ways to innovate and adapt to changing economic and social times. Tennis is certainly a sport that has exploited all the opportunities it has had and, through successful advertising, well-organised events and fantastic players, it has created a formidable product, which can compete with any other entertainment product out there. As evidence, the following fact was observed in the Telegraph article:
A 1400 megawatt spike – equivalent to 550,000 kettles being boiled – was recorded at around 9.20pm on that day [6/7/08] as Nadal lifted the trophy. The surge is seen as an indicator of millions viewing the final and then rushing to the kitchen after it is over. The national grid felt a bigger surge after the Nadal victory even than at half time during the same year’s Champions League final between Manchester United and Chelsea.
In December 2013, Uruguay passed a law permitting the growing, distribution and consumption of marijuana. The legislation comes into effect in April 2014. The state will regulate the industry to ensure good quality strains of the crop are grown and sold. It will also tax the industry.
Uruguay is the first country to legalise cannabis, but in July 2012, Colorado and Washington states in the USA passed laws permitting the sale and possession of small amounts of the drug for recreational use. (It was already legal to possess the drug for medical use.) The laws took effect a few months later. It is heavily taxed, however, especially in Washington, where it is taxed at a rate of 25% three times over: when it is sold to the processor; when the processor sells it to the retailer; and when the retailer sells it to the consumer. In Massachusetts, Nevada and Oregon, medical cannabis shops will be permitted to open this year. In the Netherlands, although the sale of cannabis is still illegal, ‘coffee shops’ are permitted to sell people up to 5 grams per day.
So should cannabis be legalised? People have very strong views on the subject and this can make a calm assessment of the issue more difficult. The economist’s approach to legalising cannabis involves seeking to identify and measure the costs and benefits of doing so. If the benefits exceed the costs, then it should be legalised; if not, it should remain illegal (or made illegal). The problem is that the size of the costs and benefits are not easy calculate as they involve estimates of things such as consumption levels, tax revenues, crime reduction, the effects on the consumption of other drugs, including legal drugs such as alcohol and tobacco.
Nevertheless, various estimates of these costs and benefits have been made and provide a basis for discussion.
Possible benefits of cannabis legalisation include: increased tax revenues for the government; reduction in crime, and hence reduction in law enforcement and prison costs; encouraging people with addiction problems to seek help, as they would not fear arrest; reduction in the price, benefiting users; regulating quality of the drug; reducing the consumption of alcohol and more dangerous drugs if these are substitutes for cannabis; moral arguments concerning freedom of individuals to choose their lifestyle.
Possible costs include: increased consumption of cannabis, with attendant health and social side effects; increased consumption of other drugs if they are complements, or if cannabis is an ‘entry level’ drug to harder drugs; moral objections to drug taking.
Clearly some of these costs and benefits are easier to measure than others. Moral arguments are almost impossible to assess quantitatively, even when various underlying moral standpoints are agreed.
The following articles look at recent events and at the arguments, both economic and non-economic.
If a country legalises cannabis, what is likely to happen to the price of cannabis? Use a demand and supply diagram to illustrate your argument, considering the effects on both demand and supply. How are the price elasticities of demand and supply relevant to your answer?
What externalities are there from drug use?
What externalities are there from making cannabis illegal?
Distinguish between complementary and substitute goods for cannabis? How is the demand for these likely to be affected by legalising cannabis?
Go through each of the benefits and costs of legalising cannabis and identify difficulties that might be experienced in quantifying these costs and benefits?
If cannabis were legalised, how would you set about determining the optimum rate of tax on cannabis production, processing, distribution and sale?
Consider the arguments for and against legalising cannabis from the perspective of (a) a free-market liberal and (b) a social democrat who sees government intervention as an important means of achieving various social goals.
When the rest of the developed world went into recession after the financial crisis of 2007/8, the Australian economy kept growing, albeit at a slightly lower rate (see chart 1: click here for a PowerPoint). Then as the world economy began to grow again after 2009, Australian grow accelerated. Partly this was the result of a strong growth in demand for Australian mineral exports, such as coal, iron ore and bauxite, especially from China and other east Asian countries.
But in 2013, Australian growth slowed and jobs grew by their lowest rate for 17 years. Employment actually fell by 22,600 in December and unemployment was only prevented from rising by a fall in the participation rate. The Australian dollar, which has been depreciating in recent months, fell further on the news about jobs, reaching its lowest level for over two years (see chart 2: click here for a PowerPoint).
Chart 1 Chart 2
The following articles look at the reasons behind Australia’s slowing growth and at possible reactions of the Australian government and the Reserve Bank of Australia (Australia’s central bank). They also look at the link between economic performance and policy on the one hand and the exchange rate on the other.
Why has the Australian dollar been depreciating in recent months?
Why did the Australian dollar fall further on the news that economic growth had slowed and employment had fallen?
Find out what has been happening to commodity prices in the past three years (see Economic Data freely available online and especially site 26) How has this affected (a) the current account of Australia’s balance of payments; (b) the exchange rate of the Australian dollar?
If commodity prices are in US dollars, how is a depreciation of the Australian dollar likely to affect Australia’s balance of payments?
How are possible fiscal and monetary responses in Australia likely to affect the exchange rate of the Australian dollar?
What determines the magnitude of the rise or fall in demand for Australian exports as the world economy grows or declines? How are the determinants of the price and income elasticities of demand for Australian exports relevant to your answer?
Politicians often make use of economic statistics to promote their point of view. A good example is a claim made by the UK Prime Minister on 23 January 2014. According to the latest statistics, he said, most British workers have seen their take-home pay rise in real terms. The Labour party countered this by arguing that incomes are not keeping up with prices.
The chart shows real wages from January 2005 to November 2013 (with CPI = 100 in December 2013). You can see that the downward trend resumed after mid 2013. In the year to November 2013, nominal average weekly earnings rose by 0.9%, while CPI inflation was 2.1%. Thus real weekly earnings fell by 1.2% over the period (click here for a PowerPoint of the chart).
Government take-home pay figures ‘perfectly sensible’ BBC Today Programme, Paul Johnson (24/1/14)
