Showing posts with label macroeconomic. Show all posts
Showing posts with label macroeconomic. Show all posts

Sunday, December 12, 2010

Equilbrium in the Goods Market and Money Market

IS - LM macroeconomic model helps us to develop a sound understanding of how equilbrium is approached in our economy. Here we will understand how equilbrium is acheived in a closed economy.

A macroeconomic model that graphically represents two intersecting curves, called the IS and LM curves. The investment/saving (IS) curve is a variation of the income-expenditure model incorporating market interest rates (demand for this model), while the liquidity preference/money supply equilibrium (LM) curve represents the amount of money available for investing (supply for this model).


The interest rate and the level of output are determined by the interaction of money (LM) and goods (IS) markets. But we should remember that we have adopted few assumptions while developing IS - LM model.

Key Assumptions:


  • Price level is assumed to be constant

  • Firms are willing to supply whatever amount of output is demanded at that price level.

  • We assumed short rum aggregate supply curve to be flat




We will explain the mathematics behind the model in the subsequent blog.

Monthly GDP Estimates: Stabilization and Upswing...for Now

Here are the latest reads on monthly GDP:

auggdp.gif
Figure 1: Real GDP in billions Ch.2005$, SAAR (blue bars), Macroeconomic Advisers 8/17 release (green), and e-forecasting 8/19 release (red). NBER defined recession dates shaded gray, assuming end occurs at 2009M06. Source: BEA 2009Q2 advance release, Macroeconomic Advisers, e-forecasting, NBER.

Macroeconomic Advisers writes:

... The level of monthly GDP in June was 0.2% below the second-quarter average at an annual rate. Average monthly increases of 0.4% per month would support our latest tracking forecast of a 2.8% increase in GDP in the third quarter.

e-forecasting writes:

Following a decline of 3.2 percent in June, the real-time monthly GDP, expressed at seasonally adjusted annual rates in chained 2005 prices, increased 6.3 percent in July to $12,938.4 billion.

Underground threats to the global economy

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For many months we have argued that the global economy is, despite all the hoopla, actually following a pretty normal course. Yes there are exceptions. The massive fiscal and trade deficits currently experienced by the United States are not normal and represent the tips of a very substantial economic volcano. But investors and financial market operators have grown used to this landscape of peaks and valleys and have come to accept their existence in much the same way that a multi-generational farmer clings to the slopes of, Philippine death trap, Mount Pinatubo. The farmer ekes out a living from the fertile soil aware, at the same time, that at some indeterminate point in the future this livelihood is bound to be swept away in a searing pyroclastic embrace. But for now investment vulcanologists can ease back in their deck chairs. The seismograph chatters quietly in the background, nothing untoward, the economic world is at peace and yet……

Some people are just never happy! In this world of small things monitored so minutely, this world in which the slightest rustle in the hedgerow calls forth a flock of squawking, excitable, pundits babbling hyperbole like a mountain torrent, it can be quite hard properly to discern the true meaning of the almost imperceptible nudges on that same seismograph. They are, however, important and must be recognised as such if this environment in which we inhabit is to be given meaning and context provided for the future.

Consensus: the global economy is slowing

By massive common consensus the global economy is slowing (see chart below). It has taken time for the brakes to start to work, particularly so as economic policy (both fiscal and monetary) has been tightened across the US, eurozone, Japan, China, India, Australia not to mention the UK for a while now.

chart 1: g7 output growth

In part because of and in part exacerbated by, a significant, yet glacial-paced, shift in expenditure patterns this slowdown is causing changes of tectonic proportions beneath the surface, the ripples from which are, however, beginning to show up in market action. Significantly, since the early 1980’s the G7 household sector financial balance has been on a continuous slide from a healthy 6% of global GDP crossing zero in 2001, to a very unhealthy -2% of GDP today. We expect that concerted fiscal and monetary policy tightening will cause this long-term slither to go into reverse, producing a significant squeeze on future consumption patterns.

Over the same period the G7 corporate sector financial balance has been on a shallow upward trend (with the notable exception of the late 1990’s bubble years!) from -2% GDP in 1982 to +0.5% of global GDP in late 2006. There have been a number of good reasons why companies should have wished to have opted for greater financial stability, particularly so in the wake of the creative accounting fuelled late ‘80’s boom and the emergence of pension fund “back holes”. Interestingly perhaps, we see a strong correlation between the steady improvement in company accounting and balance sheet rebuild, the steady demise of volatility and investors’ equally extraordinary creeping acceptance of risk to the point where, in the credit markets, spreads between junk and high grade bond yields have all but disappeared.

g7 unit wage costs

The above illustrates something interesting going on too. We have periodically wondered for just how long could companies remain in such control of their wage bills that profit margins can continue to hit new peaks. Perhaps this chart tells us we should start to worry. It reveals that, after several years of extraordinary weakness (the deflation threat years of 2003-2004) in which corporates really held the whip hand in negotiations with employees, the latter have shown signs of fighting back. To some extent this is a reflection of a rising (and pernicious) inflation hedge to wage bargaining but whatever the underlying cause the risk either to future inflation (and monetary policy) or to the sustainability of prevailing profit margins is clear.

Meanwhile back on the markets

The response to the common acceptance that the global economy is following a normal cycle has been to consign the word “risk” to the dustbin of history. The bond yield curve, despite its clear inversion (and thus negative message regarding the economic landscape of the future) is ignored. Relatively low longer dated bond yields have resulted in a historically high equity risk premium (cash today is worth more than cash in the future) and ultra low levels of implied volatility.

The following highly stylised graphic illustrates these financial market inconsistencies and serves as an important frame of reference for what we have already begun to see happening over Q4 2006 and which could, despite the benign macro backdrop, still make for choppy conditions in the equity market.

macroeconomic  conditions

The diagram, which we reproduce with the kind permission of UBS Warburg attempts to explain a world of macro economic growth, buoyant equity markets and the departure of “risk” from the investor lexicon. The diagram shows that a wide range of hitherto diverse external stimuli have combined, over the past decade, to produce the unusual combination of strong economic growth, wafer thin (skinny) premiums in the credit market, ultra-low volatility and an unusually high equity risk premium (ERP).

The diagram does not explain what might happen in the future but it seems pretty clear to us that any significant change in the external stimuli could produce a marked change in the uneasy equity market status quo. Perhaps the most interesting change is already underway… re-leveraging.

At it’s full year results presentation on Thursday 1st Feb, AstraZeneca lit a fire under its own share price and the Pharmaceutical sector generally by suggesting that the global sector giants should seriously consider gearing up. In fact the process of corporate re-leverage has been going on for a good six months already. The corporate sector is following where the private equity sector has already blazed a trail and already some commentators, such as Standard & Poor’s, identify the growth of leveraged buy-outs as sowing the seed of serious risk for the future.

The return of risk will inevitably give rise to greater volatility, an event which, in our view, should be welcomed by investors as antidote to the duration extension and multiple expansion of the past six months.

Why some countires are so rich while others are mired in poverty??

Why some countires are so rich while others are mired in poverty??

Before starting to explain the phenomenon as to why their a a difference in status of countries. Firstly we need to understand in what terms we are saying that a country is rich and other is poor. Is it standard of living, employment, aggregate income of a country or inflation and several other economic indicators.

To clear the point it is standard of living of people of country which is stated in terms of real GDP per capita i.e. on an average income of a person in a country.

Before going into details, we need to understand a comprehensive model named as Solow Growth Model named after the famous economist Robert Solow. We need to clearly understand the assumptions prior to diving into the mode.

Assumptions
  • Production function exhibits Diminishing Marginal return to Capital
  • We assume 2 inputs in the production function - Capital and Labor
  • Two other important inputs are Natural Resources and Human capitsl (but at this point of time we will not consider these two inputs)
  • We will assume that growth in "Technology" is not there.
Production function : Y = A F(K,L)

Assuming y = Y/L and k = K/L, we can rewrite the equation as y = f (k) as we are interested in analyzing output per labor.

Also as we know that Saving = Investment = s f (k) where s = saving rate

The change in capital stock per worker :

dk = Investment (sf(k)) - depreciation in capital (d*k) - rate of increase in population growth (n) * k

Increase in population requires additional capital
We need to maintain the condition on existing machines/ capital stock
Investment on capital will help in increasing capital stock

At steady state dk = 0
hence, sf (k) = ( n + d ) k



Key findings :

1. At steady state output / worker and capital / worker is constant i.e. growth is zero.

2. You can see clearly from the graph that if saving rate is high : Steady state capital / worker and output / worker will be high.

3. While if rate of depreciation of capital or population growth (n) is high standard of living will be low.

4. Steady state growth in total output of a country is n i.e. population growth

So countries with high population growth and low saving rate are poorer.

###### Keep in mind that we excluded the effect of technological growth in this model. ######

Weblink : Market Research Data Analytics Solutions Provider Bangalore

The Wellbeing Revolution

New lines of research could change the way governments around the world are managed by giving them a more accurate understanding of what makes their populations tick

by Steve Crabtree
Page: 12

This article is the first in a two-part series.

It's time to change the way the world thinks about encouraging happy, fulfilling, prosperous lives. That's because wellbeing does more than make people feel good; it promotes the kind of beneficial consequences that can make for stronger, more stable workplaces and societies.

QUOTE: Is it feasible for a government to measure the wellbeing...

So says Ed Diener, who has dedicated much of his career to measuring, studying, and writing about subjective wellbeing and its implications for organizations and societies. In recent years, Diener, a prominent University of Illinois psychology professor, along with Martin Seligman and other luminary psychologists, has been one of the driving forces behind an increasingly influential branch of psychology devoted to studying human strengths and virtues. In 2004, Diener and Seligman coauthored an article titled "Beyond Money: Toward an Economy of Wellbeing," which argued that organizations and nations would benefit from a systematic assessment of wellbeing and taking steps to improve it.

Kicking off a recent forum on global wellbeing in Washington, D.C., Diener said, "National wellbeing accounts will provide a revolution in what policy makers consider." After discussing preliminary findings on the state of wellbeing around the globe, Diener described his vision of how wellbeing "accounts" would complement current economic indicators in guiding policy decisions of governments worldwide.

Wellbeing from Afghanistan to Zimbabwe

But could it really be done? Is it feasible for a government to measure the wellbeing of its citizens and its effectiveness in promoting wellbeing in the same way that organizations use management metrics to account for "the human factor" in business outcomes? The answer is yes. The European Union monitors psychological wellbeing through the Eurobarometer, and the Gallup World Poll continually assesses the wellbeing of people in more than 130 countries and areas. The systematic worldwide assessment of wellbeing -- as well as the conditions that seem to promote it -- is not only possible, but is actually being carried out on a continuous basis.

The launch of the Gallup World Poll in 2005 has had another important effect on the study of wellbeing. As a rich new source of data, it has provided a powerful connecting point for researchers from the traditionally disparate worlds of psychology and economics. Thus, psychologists like Diener and Seligman were joined at October's wellbeing forum by illustrious economists such as Nobel laureate Daniel Kahneman and Princeton's Angus Deaton in a blending of disciplines dedicated to investigating the psychological underpinnings of economic activity. (See "What Were They Thinking?" in the "See Also" area on this page.)

In hosting such events, Gallup hopes to promote the development of, in CEO Jim Clifton's words, a "colossal vat of knowledge" about behavioral economics. This repository would complement that generated by classical economic theory and would represent a body of insight that could help societies take the next steps toward greater wellbeing for their citizens.

The research framework used by Gallup's World Poll analysts clearly reflects this goal. It posits a behavioral economics model for societies -- a macroeconomic analogue to the Gallup performance management or microeconomic model that describes the linkages between employee contributions and positive business outcomes.

The heart of this new macroeconomic construct is wellbeing. Just as great workplaces are likely to produce engaged employees and customers, governments that effectively promote wellbeing can produce engaged citizens. And just as engaged employees and customers make growth and prosperity possible for companies, engaged citizens do the same for their countries. Addressing fundamental needs like law and order and food and shelter form the early steps on the macroeconomic path, followed by higher order needs like jobs and good health. (See graphic "Gallup Path: Macroeconomics.")

Macroeconomic Path


Exactly what is "wellbeing"?

If ever there was a concept that sounds "fuzzy," wellbeing is it. Much of the challenge facing researchers who study wellbeing has been to come up with specific definitions that meet with broad consensus but that are highly conducive to measurement and tracking.

In developing an assessment of wellbeing for the World Poll, Gallup's approach was similar to the organization's other forays into measuring the "unmeasurable." It's a process that Clifton refers to as "cracking the code" -- finding the quantitative yardstick that can most accurately and reliably describe wellbeing around the world.

Input from a broad range of experts was distilled into an initial set of questions, which was then used to gather as much data as possible to begin to narrow the set to the questions that best predict positive outcomes. The question set was retested and refined until researchers were satisfied they had arrived at a tool that was as simple, yet as powerful, as possible.

Already, considerable progress has been made toward developing specific definitions of wellbeing that lend themselves to measurement and constructive analysis. Gallup's current wellbeing measure, developed using the first round of World Poll data, combines two dimensions: evaluative and experienced.

  • The evaluative component asks respondents to assess the overall status of their lives using an 11-point scale, then to predict where their lives will be five years in the future.
  • The experienced component includes more specific questions about respondents' emotional state. For example, respondents are asked whether they smiled a lot the previous day and whether they were treated with respect all day.

The two dimensions represent the yin and yang of wellbeing research. The evaluative half represents traditional, straightforward approaches to gauging life satisfaction, while the experienced component reflects the development of techniques, such as the experience-sampling methodology developed by Mihaly Csikszentmihalyi of Claremont Graduate University, which seeks to provide a more immediate, objective assessment.

Both dimensions are considered important facets of wellbeing, but they tap into different needs and perceptions. The evaluative results are very strongly related to wealth and living standards; as Diener notes, the average ratings across countries show an extremely high correlation with per-capita GDP (.83). The experiential responses, on the other hand, are more closely related to issues of social support and stability, such as respondents' likelihood to feel that corruption is widespread in their country or to feel that they have family or friends they can count on.

Which populations score highest on wellbeing based on the initial round of surveys? Denmark, New Zealand, Canada, and Australia are near the top of the list of 130 countries measured -- no surprise, given the high GDP and relatively egalitarian income distribution in these countries. But so does Venezuela, indicating that it is possible for lower income populations to display high levels of optimism. At the bottom of the list are Georgia, Haiti, and Bulgaria, along with a group of East African countries including Ethiopia, Tanzania, Uganda, and Zimbabwe.

But almost everywhere, an essential optimism is reflected in respondents' predictions of where they will be in the future, which are significantly higher than their ratings of where they are in the present. As Jim Harter, Gallup's chief scientist workplace management and wellbeing, told the forum participants, "People are hopeful nearly anywhere you go in the world."

Identifying the social, material, and psychological factors that most consistently leverage that sense of hopefulness is a goal shared by the growing number of researchers who study wellbeing. Part 2 of this article will discuss the recent work of several prominent forum participants, including Princeton economists Angus Deaton and Alan Krueger.

Though the event drew analysts and scholars from all over the world and a number of different disciplines, one sentiment was unfailingly conveyed by all of them: Research is just getting started, but wellbeing is a vein of study with the potential to improve the lives of billions. Clearly, that is something to feel happy about.

Environmental dimensions of macroeconomic measurement

Introduction

Global Development And Environment Institute, Tufts University)" src="http://www.eoearth.org/files/116301_116400/116373/300px-Macroeconomics_in_Context_diagram.gif" class="thumbimage" border="0">
Figure 1: Macroeconomics in Context. (Source: Global Development And Environment Institute, Tufts University)

The traditional macroeconomic model portrays a hypothetical economy in which only businesses engage in production, and in which the natural environment plays no role. Increasingly, however, people have raised questions about whether this gives an adequate picture of the macroeconomy.

People have come to realize that economic activity actually takes place within the context of human social institutions which in turn are inextricably embedded in the natural environment. This embeddedness is illustrated by the outer rings labeled “Social Context” and “Physical Context” in Figure 1. In addition, the contributions to production of households and community groups (within the core sphere), and of non-profit as well as government institutions (within the public purpose sphere) have recently received more attention, as illustrated in the center of Figure 1. Of course, the role of businesses, both foreign and domestic, is recognized in both the traditional and newer approaches.

Many researchers argue that national governments need to start gathering new kinds of data in order to face the challenges of 21st century concerns. Building on these new kinds of information, some researchers are concentrating on developing refined measures of national assets and production, keeping as close as possible to the framework of the National Income and Product Accounts (NIPA).

Other researchers make it their aim to design indicators that more directly measure social and economic well-being. Rather than seeking to measure the volume of production, these researchers seek to develop indicators of the quality of life.

Accounting for the Environment

The natural environment plays roles that are indispensable to economic life. Environmental economists describe these under the headings of three functions:

  1. Resource functions: the natural environment provides natural resources that are inputs into human production processes. These include such things as mineral ores, crude petroleum, fish, and forests. Some of these resources, such as fish and forests, are renewable while others, such as minerals and petroleum, are not.
  2. Environmental service functions: the natural environment provides the basic habitat of clean air, drinkable water, and suitable climate that directly support all forms of life on the planet. Water filtration provided by wetlands and erosion control provided by tree-covered hillsides are other examples of services provided by ecosystems. People enjoy the services of the natural environment directly when they enjoy pleasant scenery or outdoor recreation.
  3. Sink functions: the natural environment serves as a “sink” which absorbs (up to a point) the pollution and wastes generated by economic activity. Car exhaust dissipates into the atmosphere, for example, while used packaging goes into landfills and fluid industrial wastes end up in rivers and oceans. Some wastes break down relatively quickly into harmless substances. Others are toxic and/or accumulate over time, eventually compromising the quality of the environment. The way in which the natural environment provides the resources and environmental services that sustain economic activity is illustrated by the arrow on the left in Figure 1, showing inflows into economic activity. The way in which economic activity puts waste products into environmental sinks is illustrated by the arrow on the right in Figure 1, showing the economy generating flows back into the environment.

While for centuries these three environmental functions were treated as though they were provided “free” and in unlimited amounts, more recently the problems of depletion of resources, degradation of environmental services, and overuse of environmental sink functions have become increasingly apparent.

Physical Accounts

A first step towards accounting for the environment is simply to attempt to quantify some of the major environmental effects of economic activity in physical terms, such as in terms of proportions of fish stocks lost or tons of coal burned.

Many governments have already committed in principle to creating such accounts for their own nation, at least on one issue of major concern. The burning of fossil fuels and the resulting release of carbon dioxide (CO2) into the atmosphere has been scientifically linked to global changes in climate that may, if not halted, have catastrophic results within the next few decades. In 1997 the Kyoto Protocol on Greenhouse Gas Emissions was drafted. It aims to reduce climate-change-causing greenhouse gas emissions (like that of CO2) to 5 to 7 percent below 1990 levels by 2012. Individual goals were set for different countries. By 2004, 125 parties, including most industrialized countries such as Canada, United Kingdom, France, Germany, Italy, Spain, Switzerland, Sweden, Norway, Japan, the Republic of Korea, and New Zealand (as well as many less industrialized countries including China and Mexico) had ratified the agreement.

Of course, for a country to know if it is complying with its promise, it needs to know what its how many tons of greenhouse gases it released into the atmosphere in 1990 and how many tons it is releasing currently. The gathering of scientific and economic information necessary to measure such environmental variables, aggregated to a national level, is thus a new and expanding field.

Natural Assets and the National Accounts

The Bureau of Economic Analysis currently counts only manufactured assets in its tables of national assets, and only investment in manufactured assets in its calculation of investment (and savings). The 1999 National Research Council report pointed out that:

Natural resources such as petroleum, minerals, clean water, and fertile soils are assets of the economy in much the same way as are computers, homes, and trucks. An important part of the economic picture is therefore missing if natural assets are omitted in creating the national balance sheet. Likewise, consuming stocks of valuable subsoil assets such as fossil fuels or water or cutting first-growth forests is just as much a drawdown on the national wealth as is consuming aboveground stocks of wheat, cutting commercially-managed forests, or driving a truck.
(Nature’s Numbers: Expanding the National Income Accounts to Include the Environment, National Research Council, 1999, pp. 19-20)

In principle, then, this panel concluded, the value of a nation’s natural resources should be added to the value of its manufactured capital stock in accounting for national assets.

Measures of the natural capital stock of a country should also include the value of assets related to environmental service and sink functions. An old-growth forest, for example, not only provides timber resources, but also environmental services such as water retention, habitat provision, and carbon sequestration, as well as recreational and esthetic value. Ideally, then, tables in the national accounts that look at a country’s assets should be much expanded.

Asset tables measure stock values. That is, the value of assets is measured as of a point in time. But more importantly, perhaps, for immediate policy purposes, is the issue of taking into account changes in the level of national environmental assets. When, over the course of a year, nonrenewable resources are depleted, or the environment’s capacities to provide service flows or function as an effective sink are degraded, the nation’s ability to produce in the future is reduced. The natural capital stock has depreciated. This is a flow variable — the amount of “disinvestment” that occurs measured over the course of a year.

In concept, then, whenever the depreciation of manufactured capital is subtracted in the national accounts, depreciation of natural capital should be subtracted as well. For example, the 2003 version of the United Nations System of Integrated Environmental and Economic Accounts discusses a measure called environmentally adjusted net domestic product (eaNDP), or gross domestic product (GDP) less both these kinds of depreciation.

eaNDP = GDP
−- Depreciation of manufactured capital
−- Depreciation of natural capital

This measure should more accurately reflect the full picture of production and depreciation in a given year.

Similarly, The World Bank in 1995 proposed that saving less both kinds of depreciation be called Genuine Saving:

Genuine saving = (Gross) Saving
-– Depreciation of manufactured capital
-– Depreciation of natural capital

Under standard measures of net saving, a country only needs to save a little more than the amount it needs to replace its worn out manufactured capital in order to appear to be saving for the future. The genuine saving measure points out that countries that run down their natural capital may be making things worse for the future, even if their manufactured investment seems to be keeping a healthy pace.

National Accounts and What Nature Produces

The adjustments we just discussed relate to the asset or stock value of natural assets, and how the value of these assets can depreciate over time. But, you might have noticed, in calculating eaNDP we started with the traditional measure of the flow of production over a year, GDP. Should we also adjust the measures of the flow of national production to account for environmental factors? Should GDP itself be “environmentally adjusted”?

In an ideal accounting system, we might think of the natural environment as yet another productive sphere or sector. The ecosystem, unless severely disturbed, generates over the course of any year such goods and services as new plants in forests and fields, new livestock and fish, clean air and water, spectacular scenery, an amazing diversity of plant and animal species, and services such as protection from solar radiation—often without any effort on the part of humans. Many of these natural processes add to human well-being, and humans could not survive and flourish without them. In theory, then, accounts of production relevant to human well-being should include all the flows of new goods and services that nature generates.

Most economists agree, however, that compiling comprehensive accounts for all that nature does for us over the course of a year would be an over-ambitious task. In fact, for productive flows as for stocks of assets, what we really want to know about for policy purposes are the ways that the economy and environment interact, particularly when this interaction leads to undesirable outcomes.

For example, suppose a hillside is stripped of its forest covering, and the wood is sold as pulp for papermaking. The lack of vegetation now means that runoff from rain increases and a town downstream from the hillside suffers flooding and has to repair many buildings. Even if the vegetation should grow back by the end of the year, something has happened. In the national accounts as currently constructed, the logging activity contributes to GDP in this year (in the form of valuable wood products) and the activity of repairing buildings is counted as an economic activity that also adds to GDP in this year. It would seem that the more damage we do to the environment, the more “productive” the economy is!

Or consider an alternative scenario, in which the town realizes that flooding is likely, and fills sandbags to line its riverbank. It thereby avoids costly repairs. But, again, both the logging and the sandbag-making are counted as adding to GDP.

What is wrong with this, of course, is that the initial environmental services of the forest in terms of water retention were not counted as part of GDP. If they had been, we would have noticed that the efforts of the town did not reflect new production so much as a shift in production from the “nature sector” to the human sector. Had we included the “nature sector” from the beginning, our national accounts would have shown a decrease in the production of that sector (decreased water retention) offsetting the increase in production of the human sector (that is, repairing buildings or constructing sandbag barriers), netting out in something closer to a wash.

Expenditures that are made simply to compensate for or defend against harmful events are called defensive expenditures. The town’s expenditures on repairs or floodwalls in our example were simply necessary to maintain the status quo.

Clearly, including defensive expenditures as positive additions to GDP, while not taking into account the loss of environmental service production that made them necessary, can result in misleading numbers. We will similarly be mislead if our GDP accounts include the rising cost of hospital services to treat asthma attacks made worse by pollution, or the cost of additional fuel required by the fishing industry as boats must travel farther and farther from port so find ever-scarcer fish.

Reductions in “natural sector production” also often have direct impacts on human well-being without being reflected in measurable defensive expenditures. For example, a person who suffers pain or dies from pollution-aggravated asthma or from contamination of their water by toxic chemicals is harmed by the fall-off in the quality of environmental services, whether or not they “add to GDP” through expenditures on medical treatment.

The Problem of Valuation

Even if we were able to compile very good information on environmental assets and production in physical terms, there is a very big problem currently standing in the way of directly incorporating environmental accounting into the National Income and Product Accounts (NIPA). This is the problem of monetary valuation. In the NIPA, all assets and flows are counted in dollar terms, based on market prices or some imputation that approximates market prices. We cannot add tons of lumber directly to grams of mercury and come up with a meaningful number. Only if all quantities can be converted to a common measure—in the case of NIPA accounts, dollars—can they be added and subtracted to come up with numbers like “depreciation” or “production.”

Putting a dollar value on an asset is tricky even in the simplest case. Many conventions have been adopted to try to standardize the accounts, but they are only conventions, not truths. For example, to really know the value of a piece of machinery, one would need to know exactly how long it will last and what the availability and prices of all inputs and outputs related to it will be for as long into the future as the piece of machinery is used. Since we never know the future, we can only make educated guesses. The current NIPA accounts rely on many conventions about, for example, how long various types of machinery are expected to be in use and how fast they will depreciate. The resulting estimates may, of course, often be proved wrong as the future unfolds. A computer, for example, may be expected to hold most of its value for two years, but instead, due to the unexpected invention of a new technology, it could be obsolete within two months.

If assigning a monetary value to manufactured assets that are used for only a few years is difficult, think about how much more difficult it is to get a dollar measure for natural assets! Consider, for example, the value of uranium reserves still in the ground. Perhaps uranium will become more valuable 100 years in the future because countries turn increasingly to nuclear power. Or the price of uranium may fall in the future as countries, concerned about safety and the disposal of nuclear wastes, explore other energy sources instead. The discovery of previously unknown mineral deposits, changes in policies, shifts in consumer demand, and new technologies are among the factors that make predicting the future over the long haul very difficult, and thus make it very hard to determine the value of many assets.

Other assets are difficult to value because, while we have a sense that overall ecological balance is important to human as well as other life on the planet, a specific form of natural capital may have no apparent market value. Biologists tell us, for example, that in recent decades there has a been a shocking decline in populations of frogs, toads and salamanders worldwide, and a large increase in deformities in these animals. Clearly degradation of the natural environment is occurring. But since the market value of most frog species is zero, there are wide disagreements about how—or even whether—a dollar value could be put on these losses.

Another factor making valuation difficult is the issue of the discount rate. People with a “high time discount rate” tend to put relatively little value on the future, while people with a “low time discount rate” are willing to set aside present enjoyment for future rewards. In an environmental context, the future that is relevant includes all generations to come! Yet coming up with a numerical dollar value for assets requires that a decision be made about how much future generations should count in present decision-making.

Nevertheless, some agencies have attempted to make at least rough calculations of the value of natural capital or its depreciation. World Bank estimates of genuine saving, for example, yielded negative numbers for some less developed countries, particularly in the Middle East and North Africa. Rather than saving for the future, such countries seem to be financing some of current consumption by running down their natural assets—particularly their petroleum.

Turning from the topic of environmental assets (stocks) and their depreciation to the topic of production (flows) of environmental goods and services, the prospect for accounting is mixed. For some environmental production, a valuation in market prices could be determined relatively straightforwardly. For example, the firewood collected free in forests or the fish caught non-commercially during a year, currently not counted in GDP, could be valued at the price of their market equivalents. But for other cases the problem is more difficult.

Take, for example, the logging and flooding story from the last section. Normally, economists would try to value the production of water retention services by an existing forest by looking at some places in which this value has been translated into dollar terms. Let’s imagine towns A, B, and C that are all identical, and identically situated relative to forested hillsides. Near town A, the hillside is logged and the town sustains flood damage. The hillside near town B is also logged, but town B spends on sandbagging and avoids damage. The hillside near town C has not been logged. What, then, is the dollar value of a year’s worth of water retention services provided by the forest near town C?

Suppose the cost of repairs in Town A, which did nothing to prevent flooding, was $5 million. If you estimate the value of the water retention services of the hillside forest near town C using the damage cost approach, you would say that the services are worth $5 million—the standing forest prevents town C from suffering an estimated $5 million in damage.

What if we use town B as the comparison instead? Suppose it spent $100,000 averting damage by building sandbag barriers. Estimating the value of the forest’s services using the equally plausible maintenance cost approach you would say that the value of the forest’s services is $100,000. Having the forest standing on the hillside near town C provides equivalent services as having a sandbag barrier costing $100,000 (abstracting, of course, from animal habitat damage and other concerns). As you can see, the two approaches may not agree—the value of the forest’s services to town C could be estimated at either $5 million or $100,000.

Another example would be whether to measure the value of unpolluted air in terms of effects of pollution on human health (damage) or in terms of the cost of pollution-control devices (maintenance). So far, some national and international agencies have adopted one convention and some the other in their experimental environmental accounts.

If the withdrawal of environmental services makes people suffer or die, then you enter the even more controversial area of trying to assign dollar values to human suffering and human lives. And many environmental effects cross national lines. What is the monetary value of a global “public good” such as a stable climate? On whose account should we tally the loss of deep sea fisheries located in international waters?

The idea of an environmentally adjusted or “greened” GDP appeals to many who are concerned about the problems of a GDP measure that omits important environmental issues. It has proved difficult, however, to arrive at a single estimate of “Green GDP”.

Making Changes: Satellite Accounts

As an alternative to defining a “greened” GDP, many nations have chosen to create supplementary or satellite accounts that record changes in important environmental and resource sectors in physical rather than monetary terms. Satellite accounts can give a detailed picture of areas such as forest cover, water resources, mineral assets, land quality, pollution emissions, and pollution control measures, without assigning specific monetary values.

Countries whose national incomes are derived in large part from exports of mineral or forestry resources, for example, can assess their stocks of ore and count up their remaining timber acreage. Others, with different concerns, can create input-output accounts to get a better idea of where resources are used, where pollution comes from, and which domestic economic sectors are most reliant on imported resources. These accounts are linked to the existing national accounts: for example, economic production of oil is associated with depletion of petroleum reserves, and physical flows of pollutants are related to the output of pollution-generating industries.

The advantage of using satellite accounts is that an extensive database of environmental information can be created, and related to existing GDP sectors, without having to determine a precise monetary value for each category. Transforming physical into monetary measures is not ruled out, however, and can be done whenever reliable and generally accepted techniques for environmental valuation exist. The United Nations has published a systematic guide to integrated economic and environmental accounting using the satellite approach, and many countries have established such accounts.

Unfortunately for the progress of environmental accounting in the United States, funding for the Commerce Department's Integrated Environmental and Economic Accounts (IEESA) was terminated by Congress in 1994, and was not restored in spite of the encouragement given by the National Research Council panel in 1999. The United States has also been the only major industrialized country, other than Russia, that has not ratified the Kyoto Protocol. In June 2001 President Bush withdrew U.S. support for the Kyoto Protocol, citing doubt about the scientific evidence on climate change, unfairness in the application of prescribed cutbacks, and the “negative impact” compliance with the prescribed reductions in greenhouse gas emissions would have on the U.S. economy. While environmental accounting is moving ahead in many other nations, attention to environmental issues seems to be lagging behind in the United States.

The Economist: Low Long-Term Rates http://www.blogger.com/img/blank.gifCaused by Easy Money, Not Higher Saving

The Economist argues that the IS-LM model is relevant in a low inflation environment and uses it to answer the question of whether low long-term interest rates are due to easy money or increased saving:



A working model, from The Economist print edition: When The Economist's economics editor studied macroeconomics in the 1970s, the basic model for understanding swings in demand was the so-called IS-LM framework, ... In recent years it has gone out of fashion, dismissed as too simplistic. That is a pity, for not only does the model seem more relevant than ever today, but it also casts useful light on why bond yields are so low...

[L]ong-term bond yields have fallen to historically low levels. ... The most popular explanation is that there is a global glut of savings, which has driven yields down. However, while some parts of the world, notably Asia, may save more than they need to, it is not obvious that the world as a whole is doing so. … An alternative explanation, preferred by some economists, is that bond prices, like other asset prices, have simply been pushed up by excess liquidity (ie, yields have been pushed down).

The IS-LM model helps us to understand these two opposing theories. ... The IS (investment/saving) curve represents equilibrium in product markets … The LM (liquidity/money) curve represents equilibrium in the money market … The point at which the two curves intersect is the only combination of output and interest rates (ie, bond yields) where both the goods and financial markets are in balance … The left-hand chart shows the economy in equilibrium at interest rate r1 and output Y1. If desired saving increases relative to investment (ie, there is excess saving), the IS curve shifts to the left to IS2. Interest rates fall (to r2), and so also will output (to Y2). This does not fit the current facts: last year the world economy grew at its fastest pace for almost three decades, and this year remains well above its long-term average growth rate.

The right-hand chart illustrates the alternative theory. A loose global monetary policy shifts the LM curve to the right, to LM2. Bond yields again fall, to r3, but this time output increases. In contrast to a shift in the IS curve, the economy has instead moved along the IS curve: lower interest rates stimulate global output and hence investment. This seems to fit the facts much more comfortably.

Bond yields are low largely because central banks have created too much liquidity. Despite rising short-term interest rates in America, monetary policy is still unusually expansionary. … over the past couple of years, global liquidity has expanded at its fastest pace for three decades. ... resulting in lower yields. … In fact, the two theories are not mutually exclusive. ... However, the current rapid pace of global growth suggests that excess liquidity is the prime cause of low bond yields. The snag is that central banks will eventually have to mop up the overhang of liquidity and bond yields will then rise. ... In a world of low inflation, IS-LM rides again.

In combination with this post based on a recent paper from the NBER, I believe the excess liquidity story has the upper hand in this debate and is well worth pursuing further. But I'm not ready to endorse the IS-LM framework as the best model to use in the investigation of this issue.

[Update #1: PGL at Angry Bear and William Polley have additional comments]

[Update #2: Brad DeLong also comments and notes that an inward shift in the IS curve is part of the story, as does PGL at Angry Bear.]

And in comments, I noted, like Brad, that the lack of inflation is a puzzling part of the story:

A comment noted "I always thought excess liquidity led to higher inflation..." The response:

I left a piece out that addresses that. The article says:

Why isn't excess liquidity generating inflation? The basic IS-LM model assumed that the price level was fixed, and thus its inability to explain high inflation rates in the 1970s and 1980s hastened its fall from grace. If an economy is at full employment, an increase in money leads to higher prices, not lower bond yields. Today, however, the model may be more relevant because the entry into the world economy of cheap labour in China and other emerging economies is helping to hold down inflation.

His view is that the entry of cheap labor is holding down input costs. So what has changed for the author is the emergence of global markets. But I think you raise a good question that the excess liquidity explanation must address and that's why the IS-LM model may not be the best framework for looking into this. For example, it does not capture inflation targeting and other issues very well and that is an important component of current policy.