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Showing posts with label Economics. Show all posts
Showing posts with label Economics. Show all posts

Tuesday, November 13, 2018

What is ‘disguised unemployment’ in economics?




Also known as hidden unemployment, this refers to a situation where labour that is employed in a job is not actually utilised for the production of goods and services. In other words, such employment does not contribute to the output of an economy and is thus akin to a form of unemployment. Sometimes disguised unemployment could simply be a form of underemployment wherein the skills of a labour force are not utilised to their full capacity. In many other cases, however, such unemployment could simply be due to the lack of other alternative avenues of production where the surplus labour could be employed profitably.

Source: The Hindu, 13/11/2018

Friday, November 09, 2018

In Economics, what is internal labour market?


his refers to the administrative system within a company which determines the internal allocation and pricing of labour. In the internal labour market, the competition for vacant roles within the company is limited to the pool of labour that is already part of the company. People from outside the company are not allowed to compete for vacant positions. So a company with an internal labour market that is looking to fill a senior management role, for instance, will look to hire people who have already performed in junior roles within the company. This is in contrast to the external labour market where anyone is free to apply and get chosen for a position.

Source: The Hindu, 8/11/2018

Friday, November 02, 2018

What's 'indifference principle' in Economics


This refers to the proposition that unless people are special in some way, nothing can make them happier than the next best alternative. So, when they have to choose between two different choices, people prefer one over another until a point when they turn indifferent to both. This happens when the marginal utility that they derive from the initial choice drops gradually until it equals the utility derived from the alternative. A child, for instance, might prefer chocolates to ice cream until he has had too many chocolates. The indifference principle was proposed by American economist Steven Landsburg in his 1993 book The Armchair Economist.

Source: The Hindu, 2/11/2018

Saturday, October 27, 2018

What is O-ring theory in Economics?


Also known as the O-ring model of economic development, this refers to the theory that even the smallest components of a complex production process must be performed properly if the end product of the process is to have any useful value. In other words, a mistake that creeps into even the smallest of tasks can cause the final product to possess absolutely no value to users. The O-ring theory derives its name from a 1986 incident in which the Challenger space shuttle was completely destroyed as a result of the failure of a simple gasket, or O-ring, to work properly. It was first proposed by American development economist Michael Kremer in 1993.

Source: The Hindu, 24/10/2018

Monday, September 24, 2018

What is lemon law in economics?


Also known as lemon socialism, this refers to any form of government intervention in the market economy in order to help in the survival of struggling firms. These businesses, which would normally not be able to survive in a free market without any government intervention in their favour, thus turn out to be the beneficiaries of government policy. Such government intervention in favour of inefficient firms in the marketplace can be brought about in various ways — through the use of subsidies, bailouts, or discriminatory regulations that favour select firms in the market. Lemon laws are considered to be harmful to economic growth as they breed inefficiency.

Source: The Hindu, 24/09/2018

Thursday, September 13, 2018

What is 'Arbitrage' in Finance?

This refers to the process of purchasing an asset from one market and selling it in another market. Commodities and financial securities are the most common assets which are targeted by swift speculators looking for profits. There is usually at least some risk involved in the process of arbitrage as the price of the asset could change drastically during the time when the speculator holds the asset, imposing huge losses on him. It has been argued that arbitrage helps to allocate assets to their most urgent needs of society, thus improving economic efficiency. Competition between speculators usually lowers the profits from arbitrage over time.

Source: The Hindu, 13/09/2018

Thursday, August 16, 2018

What is lemons problem in economics?


This refers to a form of adverse selection wherein there is a degradation in the quality of products sold in the marketplace due to asymmetry in the amount of information available to buyers and sellers. Since sellers typically know more about any defects in the products that they sell to buyers, there is an opportunity for the sellers in the marketplace to sell low-quality products to unaware buyers. The idea was first proposed by American economist George Akerlof in his popular 1970 paper, “The market for lemons: Quality uncertainty and the market mechanism”.

Source: The Hindu, 16/08/2018

Monday, August 13, 2018

Teaching economics in today’s world

Modelling in basic economics plays an instrumental role in explaining the essential workings of a society

Different contexts can drastically affect stated outcomes of economic models
It is that time of the academic year when most instructors prepare to begin teaching a new cohort of perceptive, young minds joining university campuses. As an instructor of economics, it is fascinating to welcome students, introduce them to higher possibilities of learning, and teach foundational concepts using illustrative cases based on real-world scenarios.
Economics in the larger field of social sciences, and over the last century or so, has occupied a vital space in understanding different aspects of human behaviour. There remains little scope for disputing this fact. However, the method of teaching, learning and studying basic economics still provokes debates among members both within and outside the econ-tribe.
These debates have intensified since the time of the great recession (2007-08), particularly with regard to the relevance of mathematical models and the extent to which they can help us provide answers to a complex web of social and economic problems in an age of uncertainty. This critical dialogical process has allowed distinguished economists like Jean Tirole, Paul Krugman, and Dani Rodrik to argue for greater public dissemination of economic ideas and a strengthening of the weakened social contract between the economist and civil society. At the same time, on the methodological relevance of modelling in economics, there remain some important points to be made.
Modelling in basic economics plays an instrumental role in explaining the essential workings of a given society. Economic models, as Dani Rodrik argues, despite their “simplicity, (mathematical) formalism and neglect of many facets of the real world”, remain integral to the discipline. What’s important to emphasize here though is that any given model, whether testing for the effectiveness of a tax policy or the role of tariffs in creating new jobs, may seem to work only in a given context. Different contexts can drastically affect stated outcomes of models. An under-acknowledgment of this contextual condition in modelling often gets most economists (advocating for “a” model as “the” model) into trouble. Analysing the effective role of markets in distributing scarce resources and gains between agents, buyers and sellers in a particular society can involve the use of models to explain the relationship of any one aspect of the agent-market relationship, assuming other conditions to be constant. Thus, any model can (at best) help us focus on particular causes to show their effects through the system in a given period. To achieve this, a modeller needs to operate from an abstract, artificial position to study the extent of a causal degree of relationship between social variables, which, from their respective real-world position, would be difficult (if not impossible) to analyse on their own.
For example, a simple supply-demand model of a given good/service can help us explain the relationship between the price of that good/service and, let’s say, the total quantity demanded/supplied. This is perhaps one of the simplest and most useful models studied in basic microeconomics. The model seems operational only under certain given conditions (assumptions of “perfect competition”, “rational” human behaviour) to satisfy essential mathematical axioms as a conceptual requirement. It remains highly possible that as conditions of such assumptions change, the results of the model change in such a revised context. The effectiveness of economic models remains, thus, closely connected with the nature and quality of assumptions it works under.
One of the ways by which most debates on the validation of economic models, and the test of their real-world applicability, may be better studied is by incorporating greater use of “narratives” in the method of analysis itself. Narratives here may simply refer to humanist, contextual perspectives accumulated from subjects or recipients who are most likely to be affected by any given model’s application, especially when applied in the form of a policy.
For example, when any government increases the tariffs of a particular basket of goods (or services) with the expectation of helping to protect domestic industries, it remains important to see whether a target group actually witnesses an increase in its productivity or not.
Most economic models studying the effectiveness of tariffs in improving the aggregate productivity of any product may reflect on how there is very little empirical support for such a trade policy measure. The role of narratives here would be to draw out perspectives from target groups of domestic manufacturers and facilitate such observed findings as part of a feedback mechanism, testing the effectiveness of the policy. With a complementary use of narratives over and above the mathematical framework of models, it is further possible to determine under what kind of conditions a policy may or may not yield a desired set of outcomes.
Economists and those training to become one can, therefore, be seen merely as social engineers or modelling architects representing different real-world scenarios. Students and teachers of the discipline can hardly see economics as some form of an exact science but one that simply uses mathematics and narratives as mediums of communication. Cultivating an attitude of humility with a quest to constantly experiment with methods within different contexts are critical values in training students of economics to further strengthen the social contract between the economist and civil society.

Source: Mint epaper, 13/08/2018

Monday, June 19, 2017

What is Ordoliberalism in Economics?


An economic ideology that views the the state as an institution that offers an appropriate legal framework for the efficient functioning of the market economy. It emphasises that the state has a crucial role to play in fostering market competition, by preventing the rise of monopolies that can exert harmful economic and political power. At the same time, the state must also avoid distorting the free market. Ordoliberal principles, famously adopted by former German Chancellor Ludwig Erhard, played a major role in the miraculous rise of the German economy in the post-Second World War era.

Source: The Hindu, 19-06-2017

Wednesday, June 14, 2017

What is Simon-Ehrlich wager in Economics?


A famous bet made in 1980 between American business professor Julian L. Simon and American ecologist Paul R. Ehrlich on what the price of certain ‘non-government-controlled’ natural resources will be in 1990. Ehrlich predicted that increasing demand from a swelling population would exhaust the limited supply of resources, thus increasing their prices. Simon, on the other hand, argued that the price rise would incentivise new production which in turn will reduce the price of these resources. Simon eventually won the bet as the inflation-adjusted prices of all five metals picked by Ehrlich dropped between 1980 and 1990.

source: The Hindu, 12-06-2017

Monday, June 05, 2017

What is ‘Hysteresis’ in Economics?


Hysteresis occurs when unemployed persons are unwilling to accept lower wage rates as a means of returning to work. Wage stickiness implied by hysteresis can produce an increase in the “normal” unemployment rate, also known as the non-accelerating inflation rate of unemployment (NAIRU), which defies the notion of cyclical, or self-adjusting, unemployment. If, for example, jobs are outsourced to lower-wage economies, workers of the home economy may over time become unqualified to take on those jobs should they return or become dependent on government welfare benefits.

Source: The Hindu, 5-06-2017

Thursday, June 01, 2017

What is 'debt monetisation' in Economics?


A term that refers to the purchase of government bonds by the central bank to finance the spending needs of the government. Since the central bank creates fresh money to purchase these bonds in the open market, debt monetisation leads to an increase in total money supply. This, in turn, can lead to higher prices in the economy, which the central bank can counter by selling the bonds that it owns out in the open market. Such bond sales help in sucking excess money out of the economy, thus helping in the control of rising prices.

Thursday, May 25, 2017

What does public choice theory mean?


Public choice theory employs the tools of economics to explain real-world political behaviour. In particular, it seeks to examine politicians as individuals guided by their own selfish interests — rather than as benevolent promoters of the common good — to better design public policy. Nobel laureate James M. Buchanan, a co-founder of the theory with Gordon Tullock, defined it as “politics without romance”. Tullock applied the theory to electoral politics to often arrive at controversial conclusions — including why voting is a waste of time, and why voters have no incentive to make informed decisions.

Tuesday, February 28, 2017

The transcendental economist

The stunning theoretical contributions of Kenneth Arrow, who died last week, both built and undermined all of politics and all of market economics

Almost everything that has to be said about the recently deceased Professor Kenneth Arrow has been: Gifted economist, the youngest recipient of the Nobel Prize for economics, extraordinarily generous human being, mentor of several subsequent Nobel laureates, and polymath. So what is left to say, apart from the overlooked facial resemblance to another Nobelist, the author Saul Bellow?
At the risk of over-claiming and over-simplifying, it is probably fair to say that amongst 20th century economists there were (with apologies to Sir John Hicks) John Maynard Keynes, Paul Samuelson, Kenneth Arrow, and then everyone else. These were the three gods of the economics pantheon, all theorists, each dazzling in his own way, each creating and/or shaping a whole discipline or disciplines both in content but also in basic framework and methodology.
Keynes created the discipline of short-run macroeconomics with profound implications for the conduct of macro-economic policy. And unlike the other two, who confined themselves to the academy (mostly), Keynes flitted between the ivory tower and the corridors of power frequently and formidably to show that economists could shape and influence economic policy and economic institutions directly. He was the exemplar of economist-as-policy-practitioner.
When Samuelson, also a Nobelist, died, Paul Krugman famously wrote (drawing upon Isaiah Berlin) that there are foxes (who know many things), hedgehogs (who know one big thing), and then there is Paul Samuelson; meaning that he knew many things and many big things, a true intellectual colossus. Krugman then went on to list Samuelson’s eight seminal contributions to economics.
Comparisons are, of course, silly and dicey, but one can hazard that Arrow’s achievements were in some ways arguably greater than Samuelson’s. Samuelson’s many contributions helped us think through the first principles of many issues in economics — public goods, taxation, savings, trade, consumer preference, pensions, and finance. Arrow’s two stunning contributions (both theoretical) in some ways both built and undermined all of politics and all of (market) economics. Samuelson made mega-contributions, Arrow made meta-contributions. Samuleson’s related to one discipline, Arrow’s transcended two.
Arrow’s Impossibility Theorem — the first contribution — questioned whether democratic politics itself was possible in any meaningful sense. If you start with individual preferences, it is very difficult (or impossible) to come up with a rule (say majority voting) that aggregates these preferences and produces a societal preference that can satisfy some basic conditions. The only rule that satisfies these conditions, it turns out, is a dictatorship, or rule by one person which would be abhorrent to all, Arrow included.
His work (along with Gerard Debreu’s) on General Competitive Equilibrium established the possibility of the market economy as a coherent, inter-connected system. Adam Smith famously said, “It is not from the benevolence of the butcher, the brewer, or the baker that we expect our dinner, but from their regard to their own interest.” The work of Arrow and many others showed how such self-interested individual behaviour could produce outcomes that had broadly desirable social virtues; prices and the information that they conveyed were at the heart of the mechanism for the transmission from individual selfishness to social good.
But this work showed how demanding were the conditions for the market system: For the price mechanism to work, undistorted markets needed to exist for all goods and services, for all future times, and for all contingencies (“state-of-nature”) with full information available to all agents in the economy. And one of the major implications of his work, was followed up by Arrow himself. He showed how asymmetric information between the provider and consumer of health services made the market for health fragile, requiring extensive government intervention to fix. Obamacare, coming several decades later, could be seen as inspired by Arrow’s work.
Stepping back one might say that Arrow’s two contributions showed the inherent limits to, even the existential difficulties of, all politics and economics which starts from atomistic decision-makers — voters in politics, and firms and consumers in economics. So, when Francis Fukuyama proclaimed the triumph of democratic politics and market economics as an empirical matter in 1989, Arrow — affirming the famous joke about the economist — could well have said, “Sorry Frank, they may work in practice but I showed 40 years ago that they do not work in theory.” Post-Brexit and Trump, we are now discovering that perhaps they don’t work in practice either.
Another contribution of Arrow’s is worth mentioning. In the early 1960s, the two Cambridges (the one on the River Charles in the US and the other on the River Cam in England) were bickering viciously over the definition, description and measurement of capital as an input in production (the famous “Capital Controversy”). Arrow (then very much in Cambridge, US) chose to stay above the fray, and in the very issue of the Review of Economic Studies (1962) that featured the controversy, wrote a piece on learning-by-doing which influenced the theory of endogenous growth developed decades later by Paul Romer, now the chief economist at the World Bank. The key insight of Arrow’s being that average costs of production decline with scale so that increasing returns was more likely to characterise most production technologies, leading to uncompetitive markets dominated by a few large firms rather than the competitive world of many small firms.
The Arrow-Samuelson comparison is interesting for another reason: Family connections. Arrow’s sister, Anita Summers, a well-known academic herself, was married to Robert Summers, an economist, whose brother was Samuelson. Larry Summers is thus the nephew of both Arrow and Samuelson, and the lineage shows. The world needs reminding that in this stellar family, Robert Summers himself was deserving of the Nobel Prize. He, along with Larry Heston and Irving Kravis, created the famous Penn World Tables (PWT), which allowed incomes and consumption — and hence standards of living — to be compared across countries using the concept of purchasing power parities. Without these PWT data, what is now the rich and exciting field of empirical development economics may have not bloomed at all. Robert Summers, alas, is no more, but the Nobel committee — which does not grant the award posthumously — can still honour his work by awarding the Nobel to Heston.
It is surprising that Sylvia Nasar has not already mined this rich material for a family biography that might be titled, “Two Brothers and A Brother-in-Law”. And, that brother-in-law, Kenneth Joseph Arrow, may possibly have been the best and most impactful of them all.
Written by Arvind Subramanian
The writer is chief economic advisor to the government of India
Source: Indianexpress, 28-02-2017

Monday, December 05, 2016

It’s time to brush up on your science fiction

Paul Krugman would stand in line to meet Charlie Stross. The Nobel Prize winning economist who spoke at the Hindustan Times Leadership Summit last week is a sci-fi buff and, with the conviction of a true zealot looking for an argument (I’ve been there, so trust me), told me that the British writer is the best science fiction writer alive. This was at a pre-summit dinner and the small group that had gathered around Krugman – managers of private equity funds, CEOs of global and local companies – didn’t really seem to care. Later that evening, we briefly discussed the economics and probability of commercial space travel of the kind that could enable the colonisation of Mars.
That we were having a serious discussion on what was once a popular theme in sci-fi (Mars books are legion) is a sign of the times. Towards the end of the tumultuous decade that started in 2008, and characterised by flat-lining incomes, the rise of authoritarian leaders selling simple (and usually shallow, but very popular) ideas, and general unhappiness and strife, it is clear that everyone, including economists, needs to accept that the future is upon us. Indeed, in recent years we have seen a profusion of literature trying to understand what would happen if the homo economicus (or the economic and rational human) is replaced by machina economicus (an interpretative translation would be the perfectly rational machine).
For the benefit of those who have been away on Mars, let’s make a list. In the ongoing decade since 2008, Artificial Intelligence has finally stopped being a buzzword and become reality thanks to what is called deep learning (simply put, teaching a machine to think and learn); self-driving cars have been launched; advances in gene-editing have put the 100-year life (borrowed from the title of a book on what longevity means to life and work by Andrew Scott and Lynda Gratton) within our grasp, and AR and VR (augmented and virtual reality) are disrupting everything from pornography to education (although, sometimes, pornography is educative). I’ve left out the more ordinary innovations including homes that think, phones that talk back, robots that greet you at stores, transparent yet secure ledgers of everything (as some have described Blockchain) or household 3D printers.
Pause for a moment and think. And then, if you want to, trivialise. I am told there are no queues in Mars.
I’d like to call this an ex machina moment for businesses. Start-ups and incumbents that understand the power and utility of these technologies will be able to write the new rules of business and define not just industry standards but industries themselves. For instance, artificial intelligence could take away 60-80% of service sector jobs. That voice at the other end of the line when you call your bank (if you are one of those who still calls banks) could soon belong to an intelligent agent. How soon? Yesterday.
Where would we find such companies? Actually, all around us, and even in India (and I use the word even not as an expression of disparagement but with a sense of pride because one would typically expect to find such companies in the US, Japan, or the country with the most digital society in the world, South Korea). Within a 25km radius of the Hindustan Times newsroom in central Delhi is a start-up that makes industrial robots. There are a few dozen companies in the country working in the area of artificial intelligence, including a handful that would be recognised as true AI companies anywhere in the world. Mint has been profiling some of these companies as part of its Mint40 series, an ongoing listing that also covers popular companies that do not use cutting edge technologies but which could dominate the country’s business landscape in the 2020s. As the name suggests, the listing will have 40 companies – 40 companies that could well constitute an index of the future.
In the 1990s, pharma firms such as Dr Reddy’s Laboratories and IT companies such as Infosys were among the bright lights in this landscape (although both companies were founded earlier). In the 2000s, it was telcos such as Bharti Airtel Ltd. And in the 2010s, this role was taken up by the e-commerce marketplaces. Capital and the best human resources gravitated towards them. They received glowing (and sometimes gushing) media coverage. And they were valued disproportionately.
This doesn’t mean today’s large companies will simply roll over and die. The smarter ones among these – one example is industrial conglomerate General Electric – are already re-inventing themselves, using their existing and obvious advantages to innovate, define standards, even acquire hot start-ups. But, at the risk of repetition, disproportionate value will be created by start-ups in these new areas.
That’s why smart venture capitalists, analysts, journalists and job-seekers would do well to brush up on their science fiction.
R Sukumar is editor, Mint.
Source: Hindustan Times, 5-12-2016

Wednesday, November 16, 2016

Artificially created distress

To prevent further damage to the economy and to relieve distress, demonetisation should be revoked immediately

Without adequate preparation or thought, the monetary authorities and the government have taken a drastic step declaring as worthless over 86 per cent by value of the currency notes in circulation with the public. A prior large increase of lower denomination notes should have been ensured through banks and ATMs, so that overall money supply did not reduce and a normal level of activity could be maintained. This was not done, so effectively a very severe monetary contraction has been imposed, the purchasing power of the population has been suddenly taken away, reducing the level of economic activity and causing distress to people, which is getting worse as time passes.
The denomination puzzle

The government’s rationale for the extreme measure of demonetisation is not clear. There is talk of targeting black money, but the denomination of notes has nothing to do with the existence of black money, which is not held in hoards of notes but is a circulation of unrecorded and undeclared incomes. Those larger-scale activities where income is declared produce white taxable money, while large incomes generated in legal or illegal activities where these incomes are not declared in order to evade tax constitute black money. There is a constant parallel flow of black money in the economy. Clearly the monetary authorities or the government itself do/does not naively believe that black money somehow is connected to Rs.500 and Rs.1,000 notes which they call ‘high denomination’ — if they did, they would not have chosen to issue a new note of Rs.2,000 which is of even higher denomination. So what is the point of the measure? Investigation of and raids on suspected tax evaders do not require such an extreme step as almost complete demonetisation, which in present conditions of lack of preparedness, amounts to economically disenfranchising the entire population.
The adverse impact on the economy of sharp monetary contraction (to the extent of around Rs.14 lakh crore) is already evident, and the greatest sufferers are the rural population, and the urban poor and middle class. The first impact is on the supply chain of goods and services which is disrupted, and this is then feeding back to impact production. Traders and retailers have been deprived overnight of the funds to carry on their business, and the former can neither source goods after using up their existing stocks, nor can they pay for the transport of the goods to the market. Retailers cannot sell the goods since customers do not have money to buy them, and they can provide goods on credit to customers only up to a point since they need to pay their suppliers and cannot obtain enough new notes to do so. The entire chain of supply and distribution has been thoroughly disrupted.
In villages the kharif harvest is not yet fully marketed in many regions, but producers are unable to sell their crops owing to the shortage of the new money. Many are being offered drastically lower prices for their produce which runs the risk of damage in coming days. Farmers who have already marketed their kharif crop and have existing notes in hand now cannot buy seed and fertilisers for sowing rabi since there is no lower denomination or substitute money available in their nearest banks. Delayed rabi sowing is bound to affect future output. The majority of farmers are net purchasers of food, and rural labourers and artisans are entirely dependent on purchase from the market. They are in the greatest distress since they cannot purchase basic necessities for their families with their existing money, and their attempts to change it for new money is fruitless since the latter is simply not available to the required extent in banks. Even in a relatively organised sector like tea plantations, daily wages in the new money have not been paid to workers who are unable to meet their subsistence needs.
Hitting the most vulnerable

The worsening situation in urban areas is well known — not only the wage-earning poor but the middle class too is adversely affected by the overnight artificial and extreme loss of purchasing power involved in the demonetisation exercise. Millions of hours during working days are being wasted by people in standing in long queues at banks, and many are turned away eventually with the new cash running out. For the physically frail and senior citizens, it is a risky and indeed impossible exercise to obtain the new notes. A number of deaths have taken place already owing to the inability to purchase medicines or obtain timely medical care. The government has admitted that it will take many weeks to fill the gap in money supply.
With the severe loss of purchasing power, the country is being driven into an artificially created recession and the level of economic activity is declining. To prevent further damage to the economy and to relieve distress among the people, the measure of demonetisation should be revoked immediately. The government can replace existing currency notes with new notes, but in a more planned, orderly and phased manner and over a longer period, bearing in mind that the bulk of our population needs humble money to carry on myriad small daily transactions, and Rs.2,000 notes which cannot be changed are of no use to them. Citizens and leaders of all political parties, including the ruling party, should unite to demand immediate revocation of the demonetisation measure before the situation worsens any further. There is nothing to prevent the government from continuing to investigate or raid suspected tax evaders.
Utsa Patnaik is Professor Emeritus, Jawaharlal Nehru University, Delhi
Keywords: DemonetisationRBIBJPbank notes

Source: The Hindu, 16-11-2016

Tuesday, November 15, 2016

When cash is not king


In one fell swoop, demonetisation has struck a blow to the parallel economy.

In a new tryst with destiny, once again at the stroke of the midnight hour on November 8-9, Narendra Modi effectively demonetised large denomination notes in India. Of the Rs.16 lakh crore-plus in circulation, Rs.500 and Rs.1,000 notes account for about Rs.14 lakh crore and more than 85 per cent by value of all rupee bills in circulation, as per Reserve Bank of India data. With this master stroke, the Prime Minister has walked the talk and shown that when it comes to doing the right thing, and eliminating the wrong, he doesn’t spare even the corrupt in his own party. He has effectively dealt a death knell to the private businesses of all politicians, lawyers and bureaucrats.
All those craving for big-bang reforms couldn’t have asked for more — corruption cannot thrive where money is traceable and Mr. Modi’s is a significant step against big-ticket corruption and black money. The secrecy with which it was conceived and executed has left the nation stunned. It is far bigger in scope and scale than those attempted ever before in independent India, and is the first of many bold steps which perhaps only this Prime Minister could have done for disrupting the business model of Indian politics forever.
Parallel transaction networks

At the heart of it is the simple proposition that large currency notes are used more to conceal than to purchase. Mr. Modi has converted this one sentence into an economic manna in his avowed fight against black money and corruption, which is laudable.
Peter Sands of Harvard Kennedy School, one of the proponents of this idea of killing large currency notes, one later supported by former U.S. Treasury Secretary Larry Summers, argues that a million dollars in $20 bills weighs 110 pounds or about four suitcases, whereas in 500-euro notes, less than 4 pounds, making the former very hard to transport. The U.S. stopped issuing $500 notes in 1969, the European Central Bank halted 500-euro notes early this year, and Singapore killed its $10,000 note and Canada its $1,000 note in 2000. India has one of the highest cash to GDP ratios at 12 per cent (excluding the parallel economy) and despite a well-publicised amnesty scheme, the fear of god had not sunk in. Now it will, with Mr. Modi’s big-bang step.
Mr. Sands illustrates by arguing that bulk cash transfer plays a role in more complex drug trafficking and money-laundering schemes. Cash couriered from Paris to Belgium was used to buy gold, which in turn was couriered to Dubai, where it was made into jewellery which was sold in India with the profits then wired back to France. This network was estimated to launder 170 million euros per year. And this is an example of one transaction network — imagine how many more are out there in the world! India’s black economy is estimated to be $400-500 billion, larger than several economies of the world, and almost $3.5 billion is spent in currency operation costs annually, as per Tufts University’s Cost of Cash study. On purchasing power basis, Rs.500 and Rs.1,000 notes are large by Indian standards even though they may not be as per exchange rates.
Short-term pain, long-term benefits

Indeed, there will be some contraction in money supply and thus a slight deflationary impact, which will cause some inconvenience in the very short term to the average citizen, which the Prime Minister has acknowledged repeatedly in his speech, but this will be compensated by significant benefits in the long term for all law-abiding citizens.
The deflationary impact could be felt in sectors where cash is the main instrument of transaction and perhaps in some asset prices as well, such as in real estate. In the longer term, it will lead to a greater proportion of the economy shifting from black to white. Those who hold large amounts of cash may, if they deposit it in banks and perhaps pay taxes on it, be forced to join the white economy. It may also raise permanently the cost of holding cash by adding a risk premium. This may encourage people to take the certainty of paying taxes in lieu of the uncertainty of holding black cash.
Real estate firms or jewellers may not accept cash unless it is at a good discount, for they will have to declare it to the banks and pay taxes. So there is no easy option to convert it via real estate or gold. It skews incentives against cash purchases, and gives a fillip to card transactions.
The hawala network also won’t accept non-legal tender and the ultimate end user anywhere in the world will be stuck with worthless pieces of paper after December 30, 2016. So a person will, at best, exchange it at a discount for the next 50 days.
The next big hit should be on purchase of benami property which is a national avocation, for that’s perhaps the other big outlet and repository of black money. When the Goods and Services Tax comes into force, the government should do away with stamp duty on land at any stage of the sale; moreover, the tax rates on purchase of property should be dramatically slashed. This apart, election funding reforms and online voting are all big steps in the continuum of reforms, of which this was just the first big step.
The incentives for honesty have been improved, dramatically, with this reform measure, much needed after it was last done in 1978. This will seriously affect the stock of black money but the effect on future flows is unpredictable. However, the flows will perhaps be reduced because of the increased risk perception in cash transactions. Further, the government should take steps to increase mobile penetration, pre-bundled with cash apps, which will make it easier for those who wish to go digital.
Cash is the new trash and the Prime Minister has acted decisively, ending reams of debates, declamations and declarations. Changing human behaviour is the hardest thing to do in the world — Mr. Modi is doing just that in one of the most difficult ecosystems in the world. As a small aside, he has also dealt a body blow to ‘terror money’, and electoral politics in India will never be the same again.
Srivatsa Krishna is an IAS officer. Views are personal.

Source: The Hindu, 15-11-2016

Saturday, October 08, 2016

Amnesty by another name

The Income Declaration Scheme has garnered only a minuscule amount of black money. The big fish have got away.

The Income Declaration Scheme (IDS) announced in the 2016-17 budget closed on September 30, after remaining open since June 1. The finance ministry has announced that 64,275 people have come forward to declare Rs 65,250 crore of black money. This is the largest amount declared as black money in the history of Indian taxation. Naturally, the government claims this to be a big achievement, more so since the response in the first three months was tepid.
The average amount of black income per declaration is about Rs one crore. This is indeed low when there is daily news about people being caught with hundreds of crores of rupees of black incomes. It is likely that either the big earners of black incomes have not come forward or declared a negligible part of their black money. It is reported that the income tax officers pressurised people under their charge to make declarations in the last three weeks. So, either they coerced the small fries, or the big fellows declared a miniscule amount. Also, many of the black income earners do not pay any tax. So they do not come under any income tax circle and, therefore, would not have been under any pressure.
The last disclosure scheme was announced in 1997 — the Voluntary Disclosure of Income Scheme. Under it Rs 33,000 crore was declared and tax of about Rs 10,000 crore was collected. The 2016 scheme is also a “voluntary” programme, even though it is not called that. The 1997 scheme was called an amnesty scheme because of the low tax that had to be paid. But this time, it is not referred to as an amnesty because a higher rate of tax is being charged. The government had also given an undertaking to the Supreme Court in 1997 that it would not initiate any more amnesty schemes. The reason being that an amnesty scheme is unfair to the honest tax payers while those evading taxation get a concession for declaring their past income.
But the IDS is also an amnesty scheme because the penalty charged under it is less than what was being charged for tax evasion before the scheme was launched. Before June 2016, if a person’s income was found to be black, the penalty was 100 per cent to 300 per cent of the tax evaded. Since the tax rate is 30 per cent, the penalty worked out to 30 per cent to 90 per cent of the income evaded; under the IDS, the penalty is 15 per cent of the income. In this sense, the IDS runs counter to the government’s commitment to the Supreme Court in 1997.The comparison of the 1997 and the 2016 schemes does not show the latter in a favourable light. This author estimates the current size of the black economy at 60 per cent of the GDP; at current prices, it would be Rs 90 lakh crore in 2016-17. Thus, what has been declared is roughly 0.7 per cent of the black income generated this year. The declarations under the 1997 scheme was roughly five per cent of the black income generated that year.From the black incomes generated every year, a part is consumed and the rest saved. Over time, the accumulated savings become much larger than the annual income. For the rich, the savings from incomes are high, so the black wealth accumulated is much larger than their annual black incomes. Data suggests that only a small part of these black savings are declared under the amnesty/declaration schemes. Thus, barely 0.2-0.3 per cent of the black wealth has been declared in the 2016 scheme. The number of declarations in 1997 was over four lakh; now, surprisingly, it is a sixth of this number. The number of businesses, professionals, corrupt officials and politicians has risen over time. So, the number of people with substantial black incomes and wealth should have been several times the number in 1997. Even if it is assumed that the top one per cent of the population generates substantial black incomes, the numbers should have been close to 13 million.
The government has announced that it would not reveal any of the data collected through the scheme to any agency; not even the CAG. This is strange since CAG is a statutory body with powers to audit the accounts of the government. It is the CAG that pointed to the various infirmities in the 1997 scheme. Giving data to the CAG does not violate any confidentiality.
It needs to be assessed whether those declaring their black incomes are doing so correctly. They could be misdeclaring their recently purchased gold as that bought 20 years ago at one tenth the cost and thereby turning 90 per cent of their black wealth into white. Only an assessment by an independent auditor will help unearth such manipulations.
There can be several reasons why the IDS has garnered much less than it should have. If “round tripping” can be done at five per cent to 10 per cent of the amount of the funds, why pay 45 per cent under the IDS? Further, if the government, promises not to resort to vigorous pursuit of businessmen — under “ease of doing business” — they may be under no pressure to come clean. A person who has hoarded black wealth can only be caught in a raid; such a person will not declare black wealth voluntarily unless there is a cost to not declaring. The “success” of the IDS scheme in the last three weeks also suggests that if the income tax department applies pressure, black money can be unearthed. The government seems to be trapped between unearthing black money and not applying pressure on businesses. Why this dilemma?
The writer is a retired professor of economics and author of ‘Indian Economy since Independence: Persisting Colonial Disruption’
Source: Indian Express, 8-10-2016


Thursday, July 28, 2016

QUESTIONING MILTON FRIEDMAN’S BIGGEST IDEA


One
of the core pieces of modern macroeconomic theory, handed down to us by the great Milton Friedman, probably missed the mark. And now it might be on the way out. And this shift has big implications for how we think about economic policy and finance.
The idea is called the permanent income hypothesis (PIH). Friedman first put it on paper in 1957, and it still holds enormous sway in the economics profession. The PIH says that people’s consumption doesn’t depend on how much they earn today, but on how much they expect to earn over their lifetime.
If a one-time windfall of money drops into your lap, says Friedman’s theory, you won’t rush out and spend it all—you’ll stick it in the bank, because you know the episode won’t be repeated. But if you get a raise, you might start spending more every month, because the raise was a signal that your earning power has increased for the long term.
That assumption about human behaviour has huge implications for policy. If true, the PIH means that the effectiveness of a fiscal stimulus is likely to be a lot lower than economists thought in the 1960s. If the government tries to goose spending by mailing people checks, people will just deposit the money in the bank, instead of going out and consuming.
It’s also important for finance. Lots of academic theories are based on the PIH. Friedman’s idea says that consumers want to smooth out their consumption—they don’t like dips. So in theory people will spend a lot for financial assets that pay off during recessions, allowing them to avoid tightening their belts.
PIH is so dominant that almost all modern macroeconomic theories are based on it. They enshrine the idea with a formula called a “consumption Euler equation”, which has appeared in the vast majority of academic macro models during the past few decades. Those are the models many central bankers use to set interest rates.
So it’s not much of an exaggeration to say that Friedman’s PIH is the cornerstone of modern macroeconomic theory. Unfortunately, there’s just one small problem—it’s almost certainly wrong.
Not completely wrong, mind you, just somewhat wrong. There probably are a lot of consumers out there who do behave just the way that Friedman imagined. But the problem is, there are a lot of others who act very differently. Slowly, economists have been building up evidence that the latter group is important and sizeable.
Early tests showed support for the PIH. But in 1990, economists John Campbell and Greg Mankiw estimated that only about half of consumers obeyed Friedman’s principle. The rest, they said, probably consume hand-tomouth—if they get a bonus at work, or a big tax refund, or a government stimulus check, they go out and eat at nice restaurants, or buy more home furnishings, or just spend more.
A blow to the mathematical version of the theory came in 2006, when Georgetown economists Matthew Canzoneri, Robert Cumby and Behzad Diba wrote a paper testing the consumption Euler equation directly against real financial data—something that, for reasons that escape me, no economist seems to have actually tried before. The equation says that when interest rates are high, people save more and consume less—this is the way they smooth their consumption, as Friedman predicted. But Canzoneri et al. found that the opposite is true— for whatever reason, the fact is that people tend to consume more when interest rates are high. Oops. Anyway, research continues to come out that’s at odds with the PIH. A recent study by Northwestern University’s Luenz Kueng found that when Alaskans got a sudden payout of money from the Alaska Permanent Fund (the state’s wealth fund, which collects money from natural resource industries), they went and consumed the windfall immediately instead of sticking it in the bank like Friedman would predict. That kind of random natural experiment, which is becoming more and more popular in the econ profession, is powerful and simple evidence.
The mounting evidence against the PIH—the papers I cited are only a small sampling—is causing economists to cast around for an alternative. My Bloomberg View colleague Narayana Kocherlakota recently blogged that “The choices made 25-40 years ago—made then for a number of excellent reasons—should not be treated as written in stone or even in pen. By doing so, we are choking off paths for understanding the macroeconomy.”
Kocherlakota thinks macroeconomists should set aside their big, complex formal models of the economy, since these elaborate constructions are built on a foundation that probably doesn’t describe reality all that well. He recommends that economists go back to the drawing board, and look around for new, more accurate kernels of insight with which to build the theories of tomorrow.
In the meantime, we should all recognize that Friedman’s ideas might have been too influential. His impact on economics was deep and lasting, but this theory, at least, has not stood the test of time.

Source: Mintepaper, 28-07-2016

Friday, January 08, 2016

How economics went from theory to data

One
of the most striking things about attending the annual meeting of the American Economic Association after a long absence is that economics is now really all about the data. Daniel S. Hamermesh of the University of Texas documented this shift in a 2013 article in the Journal of Economic Literature. In 1963, 1973 and 1983, the majority of the articles published in the American Economic Review, Journal of Political Economy and Quarterly Review of Economics, three of the field’s most influential journals, were works of theory—with theory’s dominance peaking in 1980. By 2011, theory’s share was down to 27.9%.
One cause seems pretty clear. The biggest shift towards empirical work occurred between 1983 and 1993, and it was between 1983 and 1993 that personal computers became commonplace. That made crunching data much easier for economics professors; the subsequent rise of the Internet and digitization of much that was once analog in the economy opened up a huge new array of data for them to crunch.
In Hamermesh’s taxonomy, borrowed data means “ready-made … government-provided … macroeconomic time series or … large household surveys”, while own data means that the authors of the article created the data set—even if the source was government records, as it was with Thomas Piketty and Emanuel Saez’s famous work on top incomes. The continued rise in empirical research since 1993 has been entirely in this latter category. Economics has also seen the advent of experimental work, most of it taking place in campus “labs” where students and other subjects participate in market-related games and exercises.
Disillusionment with theory has also been an issue. From the late 1930s through the 1970s, economics was full of excitement about grand mathematical models that seemed to explain everything about the world. Then some things happened that the grand models—particularly the macroeconomic ones— didn’t explain very well, while a new generation of theorists took things in increasingly narrow and convoluted directions. The goal was often to make the theories more realistic, but the result, as Hamermesh puts it, was that: “Economic theory may have become so abstruse that editors of the leading general journals, recognizing that very few of their readers could comprehend the theory, have cut back on publishing work of this type.”
Piketty, who was a promising young theorist at the Massachusetts Institute of Technology in the early 1990s, wrote in the introduction to Capital in the 21st Century that he decided to move back to France in part because economists are less respected there and thus must “set aside their contempt for other disciplines and their absurd claim to greater scientific legitimacy, despite the fact that they know almost nothing about anything”. Then he went looking for some data to crunch.
Still, the data can’t tell us everything. Economics in the US had an earlier empirical heyday in the 1920s and 1930s, led by Wesley Clair Mitchell, a Columbia University economist and co-founder of the National Bureau of Economic Research. It was the NBER that pioneered the systematic collection of macroeconomic data in the US, and Mitchell believed that if he could only gather enough data, the secrets of the economy—and in particular the business cycle—would organically reveal themselves.
They didn’t, and Mitchell was mostly flummoxed by the Great Depression. In a famous takedown of a 1946 book on business cycles by Mitchell and his successor as head of NBER, Arthur F. Burns (who went on to be a markedly unsuccessful Federal Reserve chairman in the 1970s), physicist-turned-economic-theorist Tjalling Koopmans complained that: “The movements of economic variables are studied as if they were the eruptions of a mysterious volcano whose boiling caldron [sic] can never be penetrated.”
Today’s economic empiricists aren’t nearly that theory-shy. I heard lots of potential explanations this week for the trends and correlations found in the data. But they were usually offered in tentative tones. Thanks to the empirical boom, economists know more than ever before. But they seem to be learning that they are still awfully far from knowing everything.

Source: http://epaper.livemint.com/epaper/viewer.aspx