At the height of the global financial crisis, Queen Elizabeth II asked my friends at the London School of Economics a simple question: why did economists at the august institution fail to foresee the crisis? There is no simple answer.
Indeed there are several responses. One is that economists lacked models that could account for the behaviour that led to the crisis. Another is that economists were blinkered by an ideology according to which a free and unfettered market could do no wrong. And there is a theory that is gaining credence - the system bribed economists to stay silent.
In my view, none of these fit the bill.
It is not true that we academics did not have useful models to explain what happened. If you believe the crisis was caused by a shortage of liquidity, we had plenty of models analysing liquidity shortages and their effects on financial institutions. If you believe that the blame lies with greedy bankers and unthinking investors, lulled by the promise of a government bailout, or with a market driven crazy by irrational exuberance, we had studied all this too, in great detail.
Economists even analysed the political economy of regulation and deregulation, so we could have understood why some US politicians pushed the private sector into financing affordable housing, while others deregulated private finance. Yet, somehow, we did not bring all this understanding to bear and collectively shout our warnings.
________________________________
Editor's Pick - Cyber criminals targeting the UAE
________________________________
Perhaps the reason was ideology: we were too wedded to the idea that markets are efficient, market participants are rational and high prices are justified by economic fundamentals. But some of this criticism of "market fundamentalism" reflects a misunderstanding.
The dominant "efficient markets theory" says only that markets reflect what is publicly known, and that it is hard to make money off markets consistently - something verified by the hit that so many investor portfolios took in the crisis. The theory does not say markets cannot plummet if the news is bad, or if investors become risk-averse.
Critics argue that the fundamentals were deteriorating in plain sight and the market (and economists) ignored it. But hindsight distorts analysis.
We cannot point to a lonely Cassandra such as Robert Shiller of Yale University, who regularly argued that house prices in the US were unsustainable, as proof that the truth was ignored. There are always naysayers and they are often wrong. There were many more economists who believed that house prices, although high, were unlikely to fall across the board.
Of course, these expectations could have been distorted by ideology - it is hard to get into the past minds of economists. But there is a better reason to be sceptical of explanations relying on ideology. As a group, neither behavioural economists, who think that market efficiency is a joke, nor progressive economists, who distrust free markets, predicted the crisis.
Could it be corruption? Some academic economists act as consultants for banks or rating agencies, give speeches to investor conferences, serve as expert witnesses and carry out sponsored research. It would be natural to suspect us of bias. Such bias could be implicit: our world view is shaped by what our friends in industry believe. Or it may be an explicit bias: an economist might write a report that is influenced by what a sponsor wants to hear, or give testimony that is purely mercenary.
_________________________________
Follow our Business tweets - twitter.com/biznationaluae
_________________________________
There are enough instances of possible bias that the issue cannot be ignored. One remedy would be to ban all interaction between economists and the corporate world. But if economists were confined to the ivory tower, we might be unbiased, but we would also be ignorant of practicalities - and thus even less capable of predicting problems.
One way to restore trust may be disclosure - for economists to declare a monetary interest in a particular analysis and, more generally, to explain who pays us. A number of universities are moving in this direction.
But I believe corruption is not the main reason the profession missed the reasons for the crisis. Many economists have little interaction with the corporate world, and these "unbiased" economists were no better at forecasting the crisis.
I would argue that three factors largely explain our collective failure: specialisation, the difficulty of forecasting and the disengagement of much of the profession from the real world.
As with the medical profession, economics has become highly compartmentalised - macroeconomists typically do not pay attention to what financial economists or real-estate economists study, and vice versa.
Yet to see the crisis coming would have required someone who knew about each of these areas - just as it takes a good general practitioner to recognise an exotic disease. Because the profession rewards only careful, well-supported, but necessarily narrow analysis, few economists try to span sub-fields.
Even if they did, they would shy away from forecasting. The main advantage that academic economists have over professional forecasters may be their greater awareness of established relationships between factors. What is hardest to forecast, though, are turning points - when the old relationships break down. While there may be some factors that signal turning points - a run-up in short-term leverage and asset prices, for example, often presages a bust - they are not infallible predictors of trouble to come.
The meagre professional rewards for breadth, coupled with the inaccuracy and reputational risk associated with forecasting, leads to disengagement for many academics. And it may well be that academic economists have little to say about short-term economic movements, so that forecasting, with all its errors, is best left to professional forecasters.
The danger is that disengagement from short-term developments leads academic economists to ignore medium-term trends that they can address. If so, the true reason why academics missed the crisis could be far more mundane than inadequate models, ideological blindness, or corruption, and thus far more worrisome - many simply were not paying attention.
Raghuram Rajan is professor of finance at the Booth School of Business, University of Chicago, and author of Fault Lines: How Hidden Fractures Still Threaten the World Economy.
* Project Syndicate
The 10 Questions
- Is there a God?
- How did it all begin?
- What is inside a black hole?
- Can we predict the future?
- Is time travel possible?
- Will we survive on Earth?
- Is there other intelligent life in the universe?
- Should we colonise space?
- Will artificial intelligence outsmart us?
- How do we shape the future?
Company%20Profile
%3Cp%3ECompany%20name%3A%20EduPloyment%3Cbr%3EDate%20started%3A%20March%202020%3Cbr%3ECo-Founders%3A%20Mazen%20Omair%20and%20Rana%20Batterjee%3Cbr%3EBase%3A%20Dubai%2C%20UAE%3Cbr%3ESector%3A%20Recruitment%3Cbr%3ESize%3A%2030%20employees%3Cbr%3EInvestment%20stage%3A%20Pre-Seed%3Cbr%3EInvestors%3A%20Angel%20investors%20(investment%20amount%20undisclosed)%3C%2Fp%3E%0A
The%20specs
%3Cp%3E%3Cstrong%3EEngine%3A%3C%2Fstrong%3E%201.8-litre%204-cyl%20turbo%0D%3Cbr%3E%3Cstrong%3EPower%3A%20%3C%2Fstrong%3E190hp%20at%205%2C200rpm%0D%3Cbr%3E%3Cstrong%3ETorque%3A%3C%2Fstrong%3E%20320Nm%20from%201%2C800-5%2C000rpm%0D%3Cbr%3E%3Cstrong%3ETransmission%3A%20%3C%2Fstrong%3ESeven-speed%20dual-clutch%20auto%0D%3Cbr%3E%3Cstrong%3EFuel%20consumption%3A%3C%2Fstrong%3E%206.7L%2F100km%0D%3Cbr%3E%3Cstrong%3EPrice%3A%3C%2Fstrong%3E%20From%20Dh111%2C195%0D%3Cbr%3E%3Cstrong%3EOn%20sale%3A%20%3C%2Fstrong%3ENow%3C%2Fp%3E%0A
The specs: 2018 Nissan Altima
Price, base / as tested: Dh78,000 / Dh97,650
Engine: 2.5-litre in-line four-cylinder
Power: 182hp @ 6,000rpm
Torque: 244Nm @ 4,000rpm
Transmission: Continuously variable tranmission
Fuel consumption, combined: 7.6L / 100km
Yuki Means Happiness
Alison Jean Lester
John Murray
The specs
Engine: 3.8-litre twin-turbo flat-six
Power: 650hp at 6,750rpm
Torque: 800Nm from 2,500-4,000rpm
Transmission: 8-speed dual-clutch auto
Fuel consumption: 11.12L/100km
Price: From Dh796,600
On sale: now
Skewed figures
In the village of Mevagissey in southwest England the housing stock has doubled in the last century while the number of residents is half the historic high. The village's Neighbourhood Development Plan states that 26% of homes are holiday retreats. Prices are high, averaging around £300,000, £50,000 more than the Cornish average of £250,000. The local average wage is £15,458.
Credit Score explained
What is a credit score?
In the UAE your credit score is a number generated by the Al Etihad Credit Bureau (AECB), which represents your credit worthiness – in other words, your risk of defaulting on any debt repayments. In this country, the number is between 300 and 900. A low score indicates a higher risk of default, while a high score indicates you are a lower risk.
Why is it important?
Financial institutions will use it to decide whether or not you are a credit risk. Those with better scores may also receive preferential interest rates or terms on products such as loans, credit cards and mortgages.
How is it calculated?
The AECB collects information on your payment behaviour from banks as well as utilitiy and telecoms providers.
How can I improve my score?
By paying your bills on time and not missing any repayments, particularly your loan, credit card and mortgage payments. It is also wise to limit the number of credit card and loan applications you make and to reduce your outstanding balances.
How do I know if my score is low or high?
By checking it. Visit one of AECB’s Customer Happiness Centres with an original and valid Emirates ID, passport copy and valid email address. Liv. customers can also access the score directly from the banking app.
How much does it cost?
A credit report costs Dh100 while a report with the score included costs Dh150. Those only wanting the credit score pay Dh60. VAT is payable on top.
Real estate tokenisation project
Dubai launched the pilot phase of its real estate tokenisation project last month.
The initiative focuses on converting real estate assets into digital tokens recorded on blockchain technology and helps in streamlining the process of buying, selling and investing, the Dubai Land Department said.
Dubai’s real estate tokenisation market is projected to reach Dh60 billion ($16.33 billion) by 2033, representing 7 per cent of the emirate’s total property transactions, according to the DLD.
Ramy%3A%20Season%203%2C%20Episode%201
%3Cp%3E%3Cstrong%3ECreators%3A%20%3C%2Fstrong%3EAri%20Katcher%2C%20Ryan%20Welch%2C%20Ramy%20Youssef%0D%3Cbr%3E%3Cstrong%3EStars%3A%20%3C%2Fstrong%3ERamy%20Youssef%2C%20Amr%20Waked%2C%20Mohammed%20Amer%0D%3Cbr%3E%3Cstrong%3ERating%3A%3C%2Fstrong%3E%204%2F5%3C%2Fp%3E%0A
The specs
Engine: 4.0-litre flat-six
Torque: 450Nm at 6,100rpm
Transmission: 7-speed PDK auto or 6-speed manual
Fuel economy, combined: 13.8L/100km
On sale: Available to order now
The specs
AT4 Ultimate, as tested
Engine: 6.2-litre V8
Power: 420hp
Torque: 623Nm
Transmission: 10-speed automatic
Price: From Dh330,800 (Elevation: Dh236,400; AT4: Dh286,800; Denali: Dh345,800)
On sale: Now
The White Lotus: Season three
Creator: Mike White
Starring: Walton Goggins, Jason Isaacs, Natasha Rothwell
Rating: 4.5/5
TOP%2010%20MOST%20POLLUTED%20CITIES
%3Cp%3E1.%20Bhiwadi%2C%20India%0D%3Cbr%3E2.%20Ghaziabad%2C%20India%0D%3Cbr%3E3.%20Hotan%2C%20China%0D%3Cbr%3E4.%20Delhi%2C%20India%0D%3Cbr%3E5.%20Jaunpur%2C%20India%0D%3Cbr%3E6.%20Faisalabad%2C%20Pakistan%0D%3Cbr%3E7.%20Noida%2C%20India%0D%3Cbr%3E8.%20Bahawalpur%2C%20Pakistan%0D%3Cbr%3E9.%20Peshawar%2C%20Pakistan%0D%3Cbr%3E10.%20Bagpat%2C%20India%3C%2Fp%3E%0A%3Cp%3E%3Cem%3ESource%3A%20IQAir%3C%2Fem%3E%3C%2Fp%3E%0A
The specs: Lamborghini Aventador SVJ
Price, base: Dh1,731,672
Engine: 6.5-litre V12
Gearbox: Seven-speed automatic
Power: 770hp @ 8,500rpm
Torque: 720Nm @ 6,750rpm
Fuel economy: 19.6L / 100km
Teachers' pay - what you need to know
Pay varies significantly depending on the school, its rating and the curriculum. Here's a rough guide as of January 2021:
- top end schools tend to pay Dh16,000-17,000 a month - plus a monthly housing allowance of up to Dh6,000. These tend to be British curriculum schools rated 'outstanding' or 'very good', followed by American schools
- average salary across curriculums and skill levels is about Dh10,000, recruiters say
- it is becoming more common for schools to provide accommodation, sometimes in an apartment block with other teachers, rather than hand teachers a cash housing allowance
- some strong performing schools have cut back on salaries since the pandemic began, sometimes offering Dh16,000 including the housing allowance, which reflects the slump in rental costs, and sheer demand for jobs
- maths and science teachers are most in demand and some schools will pay up to Dh3,000 more than other teachers in recognition of their technical skills
- at the other end of the market, teachers in some Indian schools, where fees are lower and competition among applicants is intense, can be paid as low as Dh3,000 per month
- in Indian schools, it has also become common for teachers to share residential accommodation, living in a block with colleagues
Types of bank fraud
1) Phishing
Fraudsters send an unsolicited email that appears to be from a financial institution or online retailer. The hoax email requests that you provide sensitive information, often by clicking on to a link leading to a fake website.
2) Smishing
The SMS equivalent of phishing. Fraudsters falsify the telephone number through “text spoofing,” so that it appears to be a genuine text from the bank.
3) Vishing
The telephone equivalent of phishing and smishing. Fraudsters may pose as bank staff, police or government officials. They may persuade the consumer to transfer money or divulge personal information.
4) SIM swap
Fraudsters duplicate the SIM of your mobile number without your knowledge or authorisation, allowing them to conduct financial transactions with your bank.
5) Identity theft
Someone illegally obtains your confidential information, through various ways, such as theft of your wallet, bank and utility bill statements, computer intrusion and social networks.
6) Prize scams
Fraudsters claiming to be authorised representatives from well-known organisations (such as Etisalat, du, Dubai Shopping Festival, Expo2020, Lulu Hypermarket etc) contact victims to tell them they have won a cash prize and request them to share confidential banking details to transfer the prize money.
THE BIO
Born: Mukalla, Yemen, 1979
Education: UAE University, Al Ain
Family: Married with two daughters: Asayel, 7, and Sara, 6
Favourite piece of music: Horse Dance by Naseer Shamma
Favourite book: Science and geology
Favourite place to travel to: Washington DC
Best advice you’ve ever been given: If you have a dream, you have to believe it, then you will see it.
The specs
Engine: 2.0-litre 4-cylturbo
Transmission: seven-speed DSG automatic
Power: 242bhp
Torque: 370Nm
Price: Dh136,814
Company%C2%A0profile
%3Cp%3E%3Cstrong%3ECompany%20name%3A%20%3C%2Fstrong%3Eamana%3Cbr%3E%3Cstrong%3EStarted%3A%20%3C%2Fstrong%3E2010%3Cbr%3E%3Cstrong%3EFounders%3A%3C%2Fstrong%3E%20Karim%20Farra%20and%20Ziad%20Aboujeb%3Cbr%3E%3Cstrong%3EBased%3A%20%3C%2Fstrong%3EUAE%3Cbr%3E%3Cstrong%3ERegulator%3A%20%3C%2Fstrong%3EDFSA%3Cbr%3E%3Cstrong%3ESector%3A%20%3C%2Fstrong%3EFinancial%20services%3Cbr%3E%3Cstrong%3ECurrent%20number%20of%20staff%3A%20%3C%2Fstrong%3E85%3Cbr%3E%3Cstrong%3EInvestment%20stage%3A%20%3C%2Fstrong%3ESelf-funded%3Cbr%3E%3C%2Fp%3E%0A
The Buckingham Murders
Starring: Kareena Kapoor Khan, Ash Tandon, Prabhleen Sandhu
Director: Hansal Mehta
Rating: 4 / 5
The specs
Engine: 3.9-litre twin-turbo V8
Power: 620hp from 5,750-7,500rpm
Torque: 760Nm from 3,000-5,750rpm
Transmission: Eight-speed dual-clutch auto
On sale: Now
Price: From Dh1.05 million ($286,000)
Dubai Bling season three
Cast: Loujain Adada, Zeina Khoury, Farhana Bodi, Ebraheem Al Samadi, Mona Kattan, and couples Safa & Fahad Siddiqui and DJ Bliss & Danya Mohammed
Rating: 1/5
Copa del Rey
Semi-final, first leg
Barcelona 1 (Malcom 57')
Real Madrid (Vazquez 6')
Second leg, February 27
