Mostrando postagens com marcador Economia. Mostrar todas as postagens
Mostrando postagens com marcador Economia. Mostrar todas as postagens

sexta-feira, 30 de dezembro de 2011

Inc’s 10 Essential Economic Blogs

Inc’s 10 Essential Economic Blogs:
Nice grouping of economic blogs named “essentail” in Inc this week. (click thru for the full discussion on each).

They describe the list as “for independent thinkers only: These online columnists see around the curves to the global economic trends that will affect your business.”

Nice company to keep. Here is their top 10:



  1. Seeking Alpha Market Currents

  2. The Big Picture

  3. Real Time Economics

  4. DealBook

  5. Financial Armageddon

  6. FT Alphaville

  7. Zero Hedge

  8. Naked Capitalism

  9. Calculated Risk

  10. Mish’s Global Economic Analysis


These lists always leave out so many deserving sites and blogs, but this run is as good as any other. Always nice to be included.

>

Source:

10 Essential Economic Blogs

By Constantine von Hoffman | @CurseYouKhan

INC, Dec 26, 2011

http://www.inc.com/constantine-von-hoffman/10-essential-news-sources-for-economic-heretics.html

domingo, 18 de dezembro de 2011

Summary for Week ending Dec 16th

Summary for Week ending Dec 16th: If it wasn’t for Europe, the economic outlook might be improving a little. Unfortunately this was another tough week in Europe, and the European financial crisis is dragging down global economic growth.



The good news this week included a decline in initial weekly unemployment claims (the 4-week average is now at the lowest level since July 2008), and a pickup in the Empire State and Philly Fed manufacturing surveys. Also small business optimism increased in November. However industrial production and retail sales were a little weaker than expected.



Here is a summary of last week in graphs:



Retail Sales increased 0.2% in November



Retail Sales Click on graph for larger image.



On a monthly basis, retail sales were up 0.2% from October to November (seasonally adjusted, after revisions), and sales were up 6.7% from November 2010. Retail sales excluding autos increased 0.2% in November.



This graph shows retail sales since 1992. This is monthly retail sales and food service, seasonally adjusted (total and ex-gasoline).



Retail sales are up 20.0% from the bottom, and now 5.5% above the pre-recession peak (not inflation adjusted)


All current retail sales graphs




Industrial Production decreased 0.2% in November, Capacity Utilization decreased



Capacity UtilizationIndustrial production decreased 0.2 percent in November. Capacity utilization for total industry decreased to 77.8 percent.



This graph shows Capacity Utilization. This series is up 10.5 percentage points from the record low set in June 2009 (the series starts in 1967).



Capacity utilization at 77.8% is still 2.6 percentage points below its average from 1972 to 2010 and below the pre-recession levels of 81.3% in December 2007.


All current manufacturing graphs




Empire State and Philly Fed Manufacturing Indexes show improvement in December



ISM PMIFrom the NY Fed: Empire State Manufacturing Survey "The general business conditions index rose nine points to 9.5" and from the Philly Fed: December 2011 Business Outlook Survey "the survey’s broadest measure of manufacturing conditions, remained positive for the third consecutive month and increased from 3.6 in November to 10.3"



Both surveys indicated expansion in December, and at a faster pace than in November. Both indexes were above the consensus forecasts.



Here is a graph comparing the regional Fed surveys and the ISM manufacturing index. The dashed green line is an average of the NY Fed (Empire State) and Philly Fed surveys through December. The ISM and total Fed surveys are through November.



The average of the Empire State and Philly Fed surveys increased again in December and suggests the December ISM index will be in the mid 50s.


All current manufacturing graphs




Key Measures of Inflation mostly lower in November



Inflation MeasuresThis graph shows the year-over-year change for these three key measures of inflation (core CPI, median CPI, and trimmed-mean CPI).



On a year-over-year basis, the median CPI rose 2.2%, the trimmed-mean CPI rose 2.5%, and core CPI rose 2.2%. These measures of inflation have stopped increasing, and are slightly above the Fed's target.



On a monthly basis, the rate of increase is mostly below the Fed's target. On a monthly basis, the median Consumer Price Index increased 1.1% at an annualized rate, the 16% trimmed-mean Consumer Price Index increased 1.0% annualized, and core CPI increased 2.1% annualized.



Weekly Initial Unemployment Claims declined to 366,000



The DOL reported "In the week ending December 10, the advance figure for seasonally adjusted initial claims was 366,000, a decrease of 19,000 from the previous week's revised figure of 385,000. The 4-week moving average was 387,750, a decrease of 6,500 from the previous week's revised average of 394,250." The following graph shows the 4-week moving average of weekly claims since January 2000.



The dashed line on the graph is the current 4-week average. The four-week average of weekly unemployment claims decreased this week to 387,750.



This is the lowest level for weekly claims - and the lowest level for the 4-week average - since early 2008.


All current Employment Graphs




BLS: Job Openings "essentially unchanged" in October



Job Openings and Labor Turnover Survey This graph shows job openings (yellow line), hires (dark blue), Layoff, Discharges and other (red column), and Quits (light blue column) from the JOLTS.



Notice that hires (dark blue) and total separations (red and light blue columns stacked) are pretty close each month. When the blue line is above the two stacked columns, the economy is adding net jobs - when it is below the columns, the economy is losing jobs.



Jobs openings declined slightly in October, but the number of job openings (yellow) has generally been trending up, and are up about 13% year-over-year compared to October 2010.



Quits declined in October, but have mostly been trending up - and quits are now up about 10% year-over-year. These are voluntary separations and more quits might indicate some improvement in the labor market. (see light blue columns at bottom of graph for trend for "quits").


All current employment graphs




NFIB: Small Business Optimism Index increases in November



Small Business Optimism Index From the National Federation of Independent Business (NFIB): Small-Business Confidence Rises for Third Consecutive Month: Is Hope for the Economy on the Horizon?



Note: Small businesses have a larger percentage of real estate and retail related companies than the overall economy.



This graph shows the small business optimism index since 1986. The index increased to 92.0 in November from 90.2 in October. This is the third increase in a row after declining for six consecutive months.



Other Economic Stories ...

• From the WSJ: Realtors to Revise 2007-2011 Sales Data Lower

Pulse of Commerce Index Increased 0.1 Percent in November

• FOMC Statement: Economy expanding "moderately", Global growth slowing

Lawler on NAR Revisions for 2007 through 2011

The Excess Vacant Housing Supply

REMINDER: Economists And Analysts Have No Idea What Is Going To Happen Next Year

REMINDER: Economists And Analysts Have No Idea What Is Going To Happen Next Year:


It's prediction time again--the time when analysts and economists tell everyone what they think will happen next year.

And so it's a good time to remind everyone that analysts and economists have no idea what will happen next year.

Well, okay, not no idea.  But pretty much no idea.

(And I say this as a former analyst. And it's not some huge revelation or secret. Most professional analysts and economists, if they've been around a while, have learned the hard way that economic forecasting is like driving fast at night. Thanks to your headlights, you can see what's coming a few hundred feet in front of you, but you can't see beyond that. And if you're going too fast, by the time you see the unexpected curve or deer [black swan!], it might be too late).

What analysts and economists do have is a general idea of what will probably happen next year.

Analysts base their forecasts of what will happen next year based on an understanding of what has happened in prior years, with a bias toward what has happened in very recent years. In other words, analysts conclude that next year will be pretty much like the last few years.

And because the range of normal outcomes of what will probably happen next year is relatively tight, analysts and economists have a reasonable chance of not being too far off in their predictions, provided they don't try to be heroes and predict something crazy.

Like a recession.

Recessions don't happen that often. As a result, economists are taking a big risk by predicting them. Especially because, as study after study has shown, recessions are very hard to predict in advance.

At the beginning of this year, for example, the economy was going along fine, so no one was predicting a recession. Then, in the summer, everything started to go to hell, and pretty much every economist concluded that we were definitely headed for another recession. And now, a few months later, the data has suddenly come in better than expected, and now almost no one is saying we're headed for a recession.

It's the same for companies, by the way. Growing companies generally grow every year, so analysts generally predict growth. Of course, every few years, something bad often happens, and companies get clobbered. But you rarely, if ever, see analysts correctly predict the clobbering in advance, because by the time it's obvious, it is already happening.

Anyway, given the confidence with which many economists and analysts speak, it's easy to forget that they have no idea what is going to happen, so it's best to use specific examples to illustrate this.

First, from Bloomberg, here's a chart of Citigroup's "economic surprise index" for the past five years.

This index measures where economic data actually came in relative to where economists thought they were going to come in. When economists are "right," which happens occasionally (a broken clock is right twice a day), the index measures "0". The rest of the time, the index shows how wrong economists were. As you can see, economists are usually wrong and often very wrong.

Economic Surprise Index

As you can also see, right now, economists are wrong by being much too pessimistic. While that sounds encouraging--the economy is better than expected--the index doesn't usually remain at this level for long.

Next, from Wall Street Rant, here's a chart showing the range of GDP estimates for 2008 as made by analysts in December 2007 (green line). In 2008, you will recall, the economy collapsed, shrinking -2.5%. In December of 2007, however, not one of 51 economics surveyed by the Wall Street Journal saw a recession coming, let alone a deep recession. Not one!

(The blue line in the chart, by the way, shows economists' current forecasts for 2012. As in 2007, not one economist sees a recession coming. Uh oh).

Economic Forecasts

And, finally, here's another healthy reminder from James Montier of GMO that economists have no idea what the economy is going to do.

Year after year, as Montier's chart below shows, economists as a group predict that the economy will do what it has always done--grow 2%-6% next year, with a tight range around 4%. And year after year, the economy grows much faster or much slower than that or collapses altogether.

(Yes, economists do occasionally get it "right," but only in the sense that sometimes the economy's performance is actually average.)

If economists can't predict the future, why do they always predict that the economy will grow about 4%? Because that's what the economy's long-term growth average is--and, therefore, that's the prediction that gives the economists the best odds of being generally "right" (or at least not too embarrassingly wrong).

Just as no one ever gets fired for buying IBM or hiring someone from Harvard B-school, no one ever gets fired for predicting that the economy will do about as well as it has always done.  And, of course, staying close to the average also gives the economists the best chance of being close to right.  So that's what economists predict!

(And the same goes for most analysts, by the way. There's safety in predicting that the future will be pretty much like the recent past and pretty much like everyone else is predicting. It's the outliers who get famous--or fired.)

Here's James Montier:

James Montier economists

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sábado, 17 de dezembro de 2011

Year-end Holiday Season Rallies + Some Bullish Indicators

Year-end Holiday Season Rallies + Some Bullish Indicators:
In addition to other bullish coincident economic data reported yesterday, initial unemployment claims, which are a leading economic indicator, are especially noteworthy. They are a good precusor to the popularly-followed payroll, or jobs, report, a coincident economic indicator.

The December data will be reported in 14 trading days on Jan 6, just two days after the usually strongest two-day ending of the Year-end Holiday Season Rallies, which appears to have started yesterday, or two days earlier than usual. Both are detailed in the table below.

Click to enlarge:



Here’s an important technical indicator that is making new three-week highs, also suggesting the same is coming for the stock market.

Typically astute put-and-call option writers, who determine the stock market’s implied volatility as reflected by the VIX, are fading the stock market’s past five-to-eight days decline. This is an unusual divergence that is bullish for the stock market over the days and weeks ahead.



Another indicator that is short term bullish for the stock market is the relative strength (ratio) of the stock market compared to gold bullion. Even more bullish for the stock market that the SPX/VIX ratio above, it has just made a higher high that the stock market’s Oct high.

Not-withstanding that gold is probably starting to make a bottom in its very short term (days) and short term (weeks) declines to $1,562.50 – see our working model in the second chart below- this indicator also suggests that the stock market rally since its Aug 9 and Oct 4 intraday lows will extend through the Year-end Holiday Season Rallies.



Gold still likely to make a high-$1,800s test of the Aug-Sep $1,900 highs where we recommending selling, following our early-Dec last year recommendation to sell the equity precious metal index, XAU.

Notice how the chart pattern of an unfinished uptrend #5 (left-most open arrow) in an up-down-up-down-up 12345 has probably morphed into a coming C uptrend in an up-down-up ABC pattern (right-most open arrow with embedded matching solid line arrow), which will probably finish a slightly higher high six-to-seven weeks later.



Here’s a more reliable contrary opinion buy signal for gold: The gold bugs are throwing in the towel

Again, our work disagrees with Merrill Lynch’s technical analysis, in this case gold, as they keep trend following and expecting too-popular classical chart patterns, with which our multi-indicator work currently disagrees:







quinta-feira, 12 de agosto de 2010

First Draft of August 30 Principles of Macroeconomics Introductory Lecture

First Draft of August 30 Principles of Macroeconomics Introductory Lecture: "

1.1. Introduction to Macroeconomics



Half of the first-year economics college curriculum is microeconomics--the study of individual workers, investors, firms, markets, and industries in our economy. Half of the first-year economics curriculum is macroeconomics--the study of issues that cannot be analyzed properly without considering the economy as a whole. It is conventional to start with the micro half. We are going to start with the macro half--given the big recession outside and the high level of unemployment in this country and the world, I think I have a better chance of grabbing and keeping your attention if I start this course with macro rather than with micro.



The cost will be a certain amount of construction of an intellectual edifice in midair--but we will fill in the foundations later on.



Much of the time economics presumes that the market system as a whole is functioning reasonably well. In its background it presumes that almost all sellers find willing buyers, and vice versa. It presumes that, as a rule, contracts made will be fulfilled. It presumes that, as a rule, promises—whether made by governments, financiers, employers, workers, buyers, or sellers—will be kept.



But what if this overriding assumption is wrong? What if the web of connected markets does not work smoothly? And when does the web of connected markets not work smoothly? And why might the web of connected markets not work smoothly?



That is what macroeconomics is for. And that is where we are going to start.



1.1.1 The Parts of Macroeconomics



The domain of macroeconomics itself has four topics. Each of them deals with one of four major ways in which the web of markets can fail to work well. We are going to survey all four of those parts in the first half of this course.



The first part--and the one of most interest right now, given what is going on outside--is depression economics. It examines what happens when sellers cannot, generally and on average, find willing buyers at more-or-less the normal prices. The answer is not pretty. It is called recession or depression. This topic should grab you. We entered the deepest economic recession since the Great Depression back in 2007.



In December 2006 63.4% of American adults of working age had jobs. By December 2009 only 58.2% had jobs. Over those three years the unemployment rate jumped from 4.4% to 10.0%. Total production in the economy had stood at a level of $13.06 trillion per year at the end of 2006 (measured in the prices as they stood in 2005). It had then been growing at an average rate of a hair above 3% per year. Thus total production should have stood at $14.3 trillion per year at the end of 2009. It did not: it was $13.1 trillion per year instead—fully 8.5% lower than what three years before we had all expected the level of production to be. More than 8% of the useful goods and services that we ought to have been making at the end of 2009 were simply not there. They had vanished completely.



This is what happens when the expectation of sellers that they can, generally and on average, find willing buyers at more-or-less the prices that they had expected, goes wrong. It is what happens when, in general and economy-wide, there is excess supply. And it is what happens when—as invariably happens in conditions of macroeconomic excess supply— the assumption that private financiers and entrepreneurs will generally fulfill their contracts and keep their promises goes wrong as well.



System



The second part is inflation economics: what happens when buyers cannot find willing sellers at the prices they expected. The answer is that you get situations of moderate inflation. The economy sees full or near-full employment as firms find that they can sell as much as they can produce at prices higher than they expect. But it also sees unsettling and disturbing upward wage-price spirals as workers and managers and consumers change their expectations in order to expect faster general price rises—more inflation—than they had expected before.



And then they find that prices are rising even faster than their new expectations had led them to believe. And the process accelerates and spirals upward.



If the only consequence of a situation of inflation economics were that, year after year, purchasers going to market found that prices were two, three, four, or five percent or so higher than they had been last year, few would complain. An economy in which it is easy for workers to find or change jobs and it is easy for managers to sell what their factories have produced is a comfortable place to be.



The problem arises when managers, workers, and consumers begin to reflect on the process of moderate inflation. If prices have been rising at five percent per year for several years, shouldn’t you expect that to continue, and build that into your expectations? And so buyers pay even more, and prices rise by more than they had been expecting them to. And the entire mechanism breaks down, as prices rise more than people had been expecting even though people had been expecting them to rise. The situation can end in a reversal of course as the situation is brought to a close via a dose of depression economics. Or the situation can end in a breakdown of trust in the government and the monetary system.



The consequences of such breakdowns are the third part of the domain of macroeconomics, which deals with the case in which the macroeconomic market failure is one of promise-keeping on the part of the government. As the late Milton Friedman put it, for the government to spend is for the government to tax. Whenever the government spends, it is also promising explicitly or implicitly to tax somebody, either in the present or the future, either directly or indirectly, to pay for that purchase.



The government can tax now to pay for spending later—and so run a budget surplus. The government can spend now and promise to tax later—and so run a budget deficit and increase the national debt. But what happens when the government runs up too great a debt and the political system tries to get the government to break its promise to tax? How to guard against such attempted promise-breaking by the government, and what happens when the government attempts such promise-breaking occurs is deficit economics. And once again it is not pretty: capital flight, disinvestment, stagflation, currency collapse, and hyperinflation.



The fourth part does not quite fit easily with the other three. It is growth economics, the study of how economies grow--or don't grow--in the longer run: how material living standards and labor productivity levels advance or fail to do so.



Growth economics fits uneasily with the other components of macroeconomics for three reasons: First of all, it is concerned with long-run trends across decades or generations. The other three are short run. They are concerned with whether the government is paying its debts or (implicitly or explicitly) defaulting on them, whether workers expecting to find jobs can do so or are disappointed, whether purchasers expecting to buy goods at yesterday's prices can do so or are disappointed, and whether any or all of these are happening right now/ Second, growth economics is concerned with situations in which expectations are generally satisfied while the others are concerned with situations in which expectations are disappointed. Third, growth economics is concerned with situations in which the economy has recently (where 'recently' means something like 'the past 200 years') done relatively well, while the other three are concerned with situations in which things are or are near the point of going badly.



Nevertheless, growth economics is similar to the other three in one important respect. It does not look at an individual market or firm or household or industry. Rather, it loos at the economy as a whole. And it looks at a set of circumstances in which market failures are everywhere, and of great importance.



For this reason Greg Mankiw added it to the 'macroeconomics' half of the syllabus in the late 1980s, and it has stuck here ever since.



1.1.2. Focusing the Economy as a Whole



Microeconomics analyzes what goes right and wrong at the level of the individual firm, the individual household, the individual industry, or the individual market, macroeconomics shifts the focus to the economy as a whole and analyzes what goes right and wrong in the aggregate--from a macro perspective, one might say. Hence its name.



The difference in perspective from micro to macro has four sets of consequences that you should note. First, it has consequences for what things are held constant in the analysis. Second, it has consequences for how shifts in the economy can feedback upon and amplify each other. Third, it is far, far easier in macro to wind up in situations in which there are a number of possible ways in which supply could equal demand—and in which the principle that the economy comes to rest where supply equals demand is not of much help. Fourth and last, the expectations of the people living in the economy are much more important pieces of analysis in macro than in micro.



1.1.3. The Importance of Expectations in Macroeconomics



The last of these is worth a little more explanation. In microeconomic each little market equilibrium was self-contained: there were suppliers and demanders, they had goods to sell and needs to buy, and so all the relevant information for what would happen in the market was right there in front of us. In macroeconomics people are making decisions and plans which depend on what the future is going to be like—and what the future will be like depends on what decisions and plans are made today, and what their consequences are. Thus the questions of how people form their expectations of the future, and how changes in what happens today affect expectations of the future, are absolutely crucial: different ways of forming expectations lead to very different market outcomes, as we will see.






1.2. The Four Parts of Macroeconomics



1.2.1. Depression Economics



In December 2006 63.4% of American adults of working age had jobs. By December 2009 only 58.2% had jobs. Over those same three years the unemployment rate--which looks at a narrower group, not all American adults but only those who say that they are actively looking for work and would take a job if offered one--jumped from 4.4% to 10.0%. Total production in the economy stood at a level of $13.06 trillion per each year at the end of 2006 (measured in the prices as they stood in 2005). It was then growing at an average rate of a hair above 3% per year. But as of the end of 2009 productino stood not at $14.3 trillion per year but at $13.1 trillion per year. It was fully 8.5% lower than what three years before we had all expected the level of production to be. 8% of the flow of production of useful goods and services that we ought to have been producing and could have been producing at the end of 2009 was gone: vanished completely into thin air.



Why this shift, this 'Great Recession' in the pace of the flow of production and demand and and the level of employment?



It is not because of any large negative shock to our knowledge about technologies and organizations. It is not because we have forgotten how to make things or organize ourselves. It is not because of any sudden shortage or exhaustion of natural resources. It is not because of any sudden destruction of national capital stock--of the assembly of produced means of production, of machines and structures that assist and amplify our powers to make and do things.



It is not because American workers have lost their taste for labor. It is not that workers today prefer to take a great vacation right now. Those who have lost their jobs and have not found new ones in this 'Great Recession' are for the most part not happy people right now.



And it is not because a sudden wave of government regulation or sudden increases in tax rates have disrupted the market economy's productive division of labor--although you can find people who will claim each of these things is true, and do so with straight faces.



All of these factors that might under some conditions explain some of a fall in the pace of production and sales, in the level of employment, and in the fraction of the productive capacity of factories that is being used. But not this time.



Instead, the 'Great Recession' of the late 2000s was yet another occurrence of a disease that has periodically but irregularly struck industrial market economies since at least 1825: the demand-driven industrial business cycle. Extraordinarily large numbers of people are unemployed in 2009-2010 because aggregate demand is low. There is no demand for the things they might or that they used to make and do. The expectation of sellers that they can, generally and on average, find willing buyers at more-or-less the prices that they had expected, has gone wrong. Thus there is, in general and economy-wide, excess supply of pretty much everything. And because there is macroeconomic excess supply, the assumption that private financiers and entrepreneurs will generally fulfill their contracts and keep their promises has gone wrong as well.



In a recession--we generally do not use the word 'depression' for anything after World War II, largely because the word sounds too scary--sellers all across the economy find that buyers do not show up in the numbers they had been expecting, and so inventories of unsold goods pile up on the shelves. This wave of extra unexpected inventories works it's way back through the production chain, and producers respond as they usually do to deficient demand. They lay off workers, cut back production, and cut prices.



Normally when there is deficient demand for some commodity, and hence a glut of it on the market, there is excess demand for and hence a shortage of another one. Hence one firm or industry will be hiring workers, increasing production, and raising prices when another is firing, cutting, and lowering.



Not this time.



A recession is a general glut: a shortage of aggregate demand and not of demand for only one or only a few commodities. And in a recession the things that producers do to handle a single-commodity glut--firing, cutting back, and lowering--do not help repair the situation but instead work to make matters worse.



One (partial) reason there is low aggregate demand is that so many people are unemployed--and so have reduced incomes, and so can spend less. The feedback loop from lessened aggregate demand to reduced employment to reduced incomes to even further reduced aggregate demand is a vicious circle that makes recessions and depressions worse than they would otherwise be.



But where does the initial deficiency of aggregate demand--the one that caused the first piling-up of inventories unsold on store shelves--come from? You cannot have a downward vicious spiral without an initial push. The answer is that the initial push can come from a number of places, and take a number of forms, but that once the recession begins the process by which deficient aggregate demand is generated and propagates itself is very similar. Investigating that process or propagation and classifying the shocks that produce economic downturns is the subject matter of depression economics.



1.2.2. Inflation Economics



The second part, the subject following depression economics, is inflation economics. Inflation economics deals with times when the economy suffers from the reverse of the problems of depression economics: when there is not a shortage but instead a surplus of overall aggregate demand. It studies what happens when it is not true that buyers generally find willing sellers at the prices that they expected. The answer is that you get situations of inflation. Such are characterized by full or near-full employment, as firms find that they can sell as much as they can produce at prices higher than they expect. And they are times of climbing wage-price spirals, as workers and managers and consumers change their expectations in order to expect faster general price rises—more inflation—than they had expected before.



And then they find that prices are rising even faster than their new expectations had led them to believe.



If the only consequence of a small excess of aggregate demand over aggregate supply were that, year after year, purchasers going to market found that prices were two, three, four, or five percent or so higher than they had been last year, few would complain. An economy in which it is easy for workers to find or change jobs and it is easy for managers to sell what their factories have produced is a very comfortable place to be.



The big problem arises when managers, workers, and consumers begin to reflect on the process of moderate inflation—of ever rising prices. If prices have been rising at five percent per year for several years, shouldn’t you expect that to continue, and build that into your expectations? And then, when people go to market, they find that as long as their is excess aggregate demand their aren’t enough goods on the shelves to satisfy demand at expected prices, which are (say) five percent or whatever above what they were last year.



And so buyers pay more, and prices rise by more than they had been expecting them to.



And then the entire mechanism breaks down. Prices rise more than people had been expecting, even though people had been expecting them to rise. The situation can end in a reversal of course as excess supply is replaced by excess demand and recession, with a larger previous excess of aggregate demand producing a larger subsequent recession. Or the situation can end in a breakdown of trust in the government and the monetary system.



1.2.3. Deficit Economics



The consequences of such breakdowns in trust--caused by times of high inflation as well as other factors--are the third part of the domain of macroeconomics. It deals with the case in which the macroeconomic market failure is one of promise-keeping on the part of the government. As the late economist Milton Friedman put it, for the government to spend is for the government to tax. Whenever the government spends money to purchase something, it is also promising explicitly or implicitly to tax somebody, either in the present or the future, either directly or indirectly, to pay for that purchase.



The government can tax now to pay for spending later—and so run a budget surplus. The government can spend now and promise to tax later—and so run a budget deficit and increase the national debt. But what happens when the government runs up too great a debt and the political system tries to get the government to break its promise to tax, or even when investors and savers and managers and workers and spenders fear that the government will explicitly or implicitly try to break its promises? How to guard against such attempted promise-breaking by the government and what happens when attempted promise-breaking occurs is deficit economics. And once again it is not pretty: capital flight, disinvestment, stagflation, currency collapse, and hyperinflation.



1.2.4. Growth Economics



The fourth part of the domain does not quite fit easily with the other three. It is growth economics, the study of how economies grow--or don't grow--in the longer run: how material living standards and labor productivity levels advance or fail to do so.



Growth economics fits uneasily with the other components of macroeconomics for three reasons: first of all, it is concerned with long-run trends across decades or generations while they are short run, concerned with whether the government is paying its debts or (implicitly or explicitly) defaulting on them, whether workers expecting to find jobs can do so or are disappointed, whether purchasers expecting to buy goods at yesterday's prices can do so or are disappointed, and whether any or all of these are happening right now; second, it is concerned with situations in which expectations are generally satisfied while the others are concerned with situations in which expectations are disappointed; and, third, it is concerned with situations in which the economy has recently (where 'recently' means something like 'the past 200 years') done relatively well, while the other three are concerned with situations in which things are or are near the point of going badly.



Nevertheless, growth economics is similar to the other three in that it looks not at an individual market or firm or household or industry but rather at the economy as a whole. For this reason Greg Mankiw added it to the 'macroeconomics' half of the syllabus in the late 1980s, and it has stuck here ever since.



1.2.5. The Relative Importance of These Four Parts



At the moment of this writing, with the U.S. unemployment rate at 9.5%, everybody’s focus is on depression economics. The other three parts of macroeconomics—inflation economics, government-debt economics, and long-term growth economics—are definitely in the back of people’s minds. But this will not always be the case. By the time you are reading this textbook, it may well be the case that one of the other three parts has come to the forefront of the news and of the policy debate.



So, at least, the pattern has been for the entire past century. The World War I era focused on inflation, the 1920s focused on growth, and the Great Depression of the 1930s saw the true birth of depression economics. But by the 1940s the pressures of World War II brought inflation to the forefront, followed by a concern about growth in the 1950s and 1960s, about inflation in the 1970s, and about depression economics again in the early 1980s. The late 1980s and early 1990s saw focus on government debt, followed by a late 1990s and early 2000s focused, again, more on economic growth than on any of the other three aspects before the financial crisis of 2007 brought about the latest turn of the wheel.



So take from this section of the course what is most useful to you. Some of it will be immediately useful and enormously relevant. Some of it will appear to be fusty and outdated. Some of it will appear to come from the outfield. But if history teaches us anything, it is that things change—and odds are that at some point in your life you will find each of the four components of macroeconomics very important for the economy in which you will then be living at that moment.






1.3. Measuring the Macroeconomy



But what do we mean by the 'macroeconomy,' anyway?



1.3.1. The Flow of Production and Sales



The U.S. Department of Commerce's Bureau of Economic Analysis has estimated that in the third quarter of 2007--that is, adding up the months of July, August, and September--the United States economy produced goods and services at a rate of $14,179.9 billion worth a year.



That doesn't mean that in July, August, and September we produced $14 trillion plus worth of stuff: we only produced a quarter of that: $3,545.0 billion. What the Bureau of Economic Analysis said was that, if we were to maintain that quarter of the year's pace of production for an entire year, then in that year we would have made $14 trillion plus.



Confused? Don’t blame yourself. It is confusing.



The BEA’s estimates of the current-dollar value of production—its estimates of nominal Gross Domestic Product—are a flow, not a stock. They are measured in terms of how many dollars worth of stuff are made in a given unit of time. It is like an automobile's speed: if you drive 60 miles an hour for fifteen minutes—a quarter of an hour—you don't go 60 miles but instead 15. If you produce $3,545.0 billion worth of stuff in three months you are making things and providing services at a rate of $14,179.9 billion per year.



Not all but almost all of the value of the stuff made in the fourth quarter of 2007 was sold. Nominal gross final sales of domestic product in that quarter proceeded at a rate of $14,148.8 billion per year. The difference between $14,179.9 and $14,148.8—$31.0 billion—is inventory accumulation: the difference between production and sales piles up as “inventories” of goods that firms own but that they want to sell. The inventories of goods that had been produced but had not been sold were greater at the end of September than they had been at the start of July.



How much greater?



If you say $31.0 billion, you are wrong: inventories were growing--inventory investment was proceeding—in the third quarter at a rate of +$31.0 billion per year. It proceeded at this pace for three months: a quarter of a year. Increasing business inventories at a pace of +31.0 billion per year for a quarter of a year means that at the end of September the Bureau of Economic Analysis's estimate was that inventories were $31.0 billion per year x 1/4 year = $7.8 billion higher than they had been at the start of July.



Confused? You should be...



The smartest people in the world at this get confused—one example is Princeton Professor and former Federal Reserve Vice Chair Alan Blinder in the White House, back when he was a member of President Clinton's Council of Economic Advisers: he divided rather than multiplying by four in his head and thus got an answer that was off by a factor of 16, and none of the young hotshots sitting in the room felt sure enough to try to correct him on the spot.



Thus there are three pieces of advice:




  1. Don't try to do this stuff in your head—it is just too hard.

  2. Remember what your high-school physics teacher said: no naked numbers. Every number that you write down has to come with its units attached to it. If you keep units attached to numbers then it is harder to divide when you should multiply.

  3. Do every problem twice, at least.



Remember: just as rate x time = distance, and just as distance/rate = time and distance/time = rate, so flow x time = change in stock and change in stock/time = flow.



One more wrinkle. Does the $14,148.8 billion per year of nominal gross final sales of domestic product in the third quarter of 2007 mean that Americans and others resident in the United States were then buying stuff at a rate of $14,148.8 billion a year? No.



Total nominal gross final sales to American residents were at a pace of $14,847.2 billion per year in that quarter.



Where does this difference come from? The difference is net imports: we bought more currently-produced goods and services from foreigners than we sold to them. That is our trade deficit. In the fourth quarter of 2007 American businesses sold good and services abroad at a pace of $1,685.2 billion per year, while American residents bought goods and services made outside the United States at a pace of $2,383.6 billion per year. Thus our trade deficit in that quarter was at a pace of $698.4 billion per year, our net exports were -$698.4 billion per year. How did we pay for this deficiency of exports relative to imports? Well, in net we sold some of our property and assets to foreigners, and we also borrowed from foreigners.



How much in assets did we sell of borrow?



$698.4 billion?



Again, no. Our net exports in the third quarter of 2007 were -$698.4 billion per year, which means that net foreign investment in the United States was then growing at a pace of $698.4 billion per year, which means that over three months net foreign investment in the United States grew by $698.4 billion per year x 1/4 year = $174.6 billion.



Anybody not confused? If anybody isn't confused yet, there is more that could follow. But it is best to stop and present a summary table of all the numbers we have talked about for the third quarter, July-September, of 2007:



System



The measure of the size of the American economy that nearly everybody focuses on and that is referred to the most is the Gross Domestic Product--GDP. The word 'product' in this measure is important. It is a measure of how much America's businesses make, not how much they sell--that would be Final Sales of Domestic Product. The difference between the two is, as noted above, the change in inventories: Did businesses as a whole add to or subtract from their stock of goods being made and finished products in transit and waiting on store shelves? Did businesses 'invest' in inventories by adding to their stock, or disinvest by reducing it? If this 'inventory investment' item is positive then GDP will be greater than final sales; if this item is negative then GDP will be less.



And GDP is not what Americans buy for their households to use, for their businesses to build up capacity, and for their government to use in its functioning. That would be final sales to domestic purchasers.



Why does everybody focus on GDP rather than on either of the two final sales measures? Mostly for historical reasons: the National Income and Product accounting system was set up before World War II to focus on the “product” measures, and nobody has felt it important to make that change.



1.3.2. Real and Nominal Magnitudes



The $14,179.9 billion per year number that we have been talking about is what economists call a nominal GDP number: a measure of the value in dollars of the production of marketed goods and services. That number was higher in the third quarter of 2007 was higher than it had been a year or two earlier.



In the third quarter of 2006 the pace of nominal GDP had been $13,452.9 billion per year. In the third quarter of 2005 the pace of GDP had been $12,741.6 billion per year. Nominal GDP was thus 11.3% higher in the third quarter of 2007 than it had been two years earlier--a rate of growth in the pace at which America was producing marketed goods and services of 5.6% per year: an average over those two years waiting a year meant that the pace at which the American economy would have been producing sellable stuff--measured in dollars--would be 5.6% higher.



Why this "measured in dollars"? Because the BEA's nominal GDP estimates do not just grow when we produce stuff at a faster rate. They also grow when prices on average go up. Prices are going up and down all the time: some prices rising, some prices falling. But on average, in normal years, more dollar prices are rising than falling. So the BEA’s estimates of nominal GDP would grow in an average year even if Americans were not producing any more goods and services.



That means that the answer to the question “is nominal GDP growing?” is not the same as the answer to the question “is America making more valuable goods and services?” We would like the answer to the second question, but the estimates of nominal GDP answer only the first.



And so the BEA has another measure: not nominal GDP measured in dollars but real GDP measured in “constant dollars”: real GDP is nominal GDP adjusted for changes over time in the average dollar price of goods and services produced and marketed in the United States.



Ask the BEA what the pace of growth in the rate at which America was producing real marketed goods and services was, and it will tell you that real GDP between the third quarter of 2005 and the third quarter of 2007 grew at a pace of 2.5% per year. The difference between the 2.5% per year rate of growth of real GDP and the 5.6% rate of growth of nominal GDP over the period 2005:III to 2007:III is inflation: the fact that on average the dollar prices that goods and services sold for grew over that interval at a rate of 3.1% per year.



The BEA thus tells us that while nominal GDP was being produced at a pace of $12,741.6 billion per year in the third quarter of 2005, the value of that production at the average prices of 2005 was instead $12,683.6 billion per year--by July-September 2005 prices were a little bit higher than the average price in 2005. And by the third quarter of 2007 the BEA will tell you that while its estimate of nominal GDP is that $14,179.9 billion per year of marketed goods and services were being produced, its estimate of real GDP is that only $13,321.1 billion per year in chained 2005 dollars of marketed goods and services were being produced.



What is this 'chained 2005 dollars'?



It is a way of telling us that the BEA is calculating the change in the average of all the prices in the economy in a particular and sophisticated way. It is attempting to separate out those changes in the flow of nominal GDP that are due to increases or decreased in the pace at which valuable goods and services are being produced and hitting the loading dock from those changes in the flow of nominal GDP that are due to increases or decreases in the average level of prices. This is not a straightforward task. If this was a full-year course, at this point it would be time digress into the index-number problem--into why this is not a straightforward task. But this is not a full year course.



1.3.3. The Circular Flow of Economic Activity



Back at the start of the nineteenth century a market economy where almost everybody specialized in one particular kind of job was a new thing. For most of human history most people had spent most of their time working to provide for their own households: growing their own food, weaving and sewing their own clothes, building their own houses, with purchases and sales in the market restricted to a relatively small part of total economic activity. But starting in the eighteenth century economic growth brought us to a place where, in northwestern Europe at least, for the first time most of what was produced was not consumed by the household that had made it, but was then sold in the marketplace and the money earned used to buy things that others had made.



This market economy disturbed a great many people. “What if it all went wrong?” they asked. “Could we wind up with a situation in which the yoga instructors were offering too many lessons on achieving inner peace that the weavers couldn’t buy, and the weavers had woven too much cloth that the farmers couldn’t buy, and that the farmers had grown too much food that the yoga instructors could not buy—so everyone was unable to satisfy their needs because they could not sell what they had produced, and because they could not sell what they had made they could not afford to buy what others had made.



It was French economist Jean-Baptiste Say who first proposed an answer back in 1803. He claimed that such a “general glut” was almost inconceivable, for every seller was also a purchaser. In a market economy, Say argued, every transaction has two sides, and nobody sells without intending to buy, and so purchasing power flows throughout the economy in a circle. Businesses produce and sell because they then intend to spend the money they earn hiring workers and rent capital: what they pay workers and capitalists in wages, salaries, rent, income, and dividends becomes their household incomes. But workers and capitalists only sell and rent their hours and their resources to businesses because they then intend to spend the money they earn buying goods and services. And those goods and services that they buy—well, those are the goods and services that the businesses make. So businesses sell final products to households and buy factor services from households, and households buy final products from and sell factor services to businesses.



System



We are going to want to keep finer track of the flow of purchasing power through the economy than just to say that households buy things (goods and services) from businesses and businesses buy things (labor-time and capital services) from households. We are going to want to keep track of what happens with the government, with financial market intermediaries, and with the rest of the world as well.



System



So let us start with household spending. Households take their incomes and divide them up into three parts: some they spend buying goods and services from businesses, some they use to pay taxes, and some they save and deposit in financial intermediaries—banks, mutual funds, 401(k) account holders, brokerages, et cetera. In the third quarter of 2007, households spent at a rate of $9,865.6 billion/year on consumption goods and services. Households also paid to governments at a rate of $2,467.8 billion/year in net taxes—the difference between tax checks written to governments and income support checks (like Social Security) written from governments to households. And total private savings were $1,851.9 billion/year: the sum of direct savings by households, and indirect savings on behalf of the households that owned them by businesses that took some of their profits and decided not to pay them out as dividends but to save them. That was how households disposed of the $14,185.3 billion/year in net incomes they received in the third quarter of 2007.



The federal, state, and local governments, in that quarter, took their $2,467.8 billion/year in net taxes, added to it $238.4 billion/year in net government borrowing, and spent $2,700.9 billion/year buying goods and services for the government. “Wait a minute,” you say: “2467.8 + 238.4 = 2706.2, not 2700.9.” Yep. The difference between 2706.2 and 2700.9 is the “statistical discrepancy.” The Commerce Department’s Bureau of Economic Analysis does not track ever single purchase and sale in the economy. Rather, it makes estimates. And these estimates are not quite consistent with each other. As long as the statistical discrepancy is small, we are not unhappy.



In the third quarter of 2007, financial intermediaries and businesses received $1,851.9 billion in private savings plus the $698.4 billion/year in net investment in the United States by foreigners. Of this $2,550.2 billion/year total, $238.4 billion/year was loaned to the government, and $2,311.9 billion/year was spent by businesses in gross private investment.



Add up the $9,865.6 billion/year in consumption spending, the $2,700.9 billion/year in government purchases, and the $2,311.9 billion/year in business investment spending, and then subtract off the -$698.4 billion/year in net exports, and we are back to our total of $14,179.8 billion/year for GDP in the third quarter of 2007.



What did the foreigners do with the extra $698.4 billion/year more that they sold us in imports than they bought in exports? Dollar bills are not of much use outside the United States, after all. The answer is that they took them and invested them in the United States: that’s the $698.4 billion/year in loans from abroad and purchases of property and assets in the United States that we saw flowing into financial intermediaries above.



Thus we see the kernel of truth in Jean-Baptiste Say’s idea: every transaction does have two sides, for every buyer there is a seller, and purchasing power does proceed throughout the economy, greasing a flow of production, sales, income, and purchases that in the U.S. economy now amounts to more than $14 trillion worth of commodities every year. In 1803 Jean-Baptiste Say was confident that nothing would interrupt or disturb this flow to render large numbers of workers without work or large piles of goods without buyers.



By 1829—after watching the depression of 1825-6 in England—he had a different view.



But that is for the next class: our first full class on depression economics.





"

domingo, 25 de julho de 2010

Sixteen Dow Recoveries: The "Real" View


Sixteen Dow Recoveries: The "Real" View


July 24, 2010  New Update Here is another look at the Sixteen Dow Recoveries which I surveyed earlier today, this time adjusted for inflation/deflation as explained in the previous post. In the first chart, I've removed the 1932 data series. The rally following the Crash of 1929 was indeed an outlier — one that consisted of a series of cyclical bull and bear rallies. By removing it, the vertical axis shrinks from 180% to 100%, improving our ability to see the differentiation among the other recoveries. For comparison, here's a link to the nominal 16-rally version.

Why is inflation adjustment useful for this overlay? Throughout history inflation has undergone some dramatic changes, as this chart illustrates. High inflation, such as during the 1974 recovery, gives an exaggerated sense of price growth. Deflation, which accompanied several of the earlier market cycles, makes recoveries appear weaker. By adjusting for the inflationary/deflationary cycles, we get a clearer sense of the real value of the index price across time.
Now let's extend the time frame. Here is a set of charts with increasing numbers of market days: 500, 1000, 2000, 3000, 4000, and 5000. Depending on the historical period, the number of market days in a year varies slightly. But it rounds out to about 250 market days per year. So the time frames in this series are approximately 2, 4, 8, 12, 16, and 20 years. The series includes the 500-day chart with the 1932 recovery (Great Depression) omitted, but I added it back to the longer charts. At 1000 market days, the 1932 recovery continues to lead the pack. But at 2000 day (about eight years), the recovery after the 1921 low has risen dramatically. Of course, with the benefit of hindsight, we know that this remarkable advance was the last stage of the Roaring Twenties stock bubble, as the 3000-day (12-year) overlay makes clear. At 4000 days (about 16 years), the recovery from the low in 1982 is approaching the final surge of the Tech Bubble. The 5000-day chart shows how the Tech Bubble played out for the Dow, topping out in January 2000 after a brief scare in 1998 triggered by the Long-Term Capital Management Crisis (that dip after the 4000-day mark). The chart below shows the 5000-day (approximately 20-year) overlay:

Here is a table summarizing the comparative performance of these 16 Dow recoveries at seven points in time.

The overlay charts give visual evidence of the wide range of recovery patterns. The table helps quantify the magnitude of the difference. Two of the earlier recoveries, 1903 and 1914, and two of the later recoveries, 1962 and 1970, subsequently failed. Likewise the 1938 and 1974 rallies failed before being rescued by later recoveries.
This last observation touches on an important aspect of the overlay charts. As the timeframe increases, the same recovery appears in multiple data series. I've point this out for the 2009 recovery in both the 4000- and 5000-day charts. But several of the data series show later recoveries in the longer time frames. Another example I've annotated is the Crash of 1987 on the 5000-day chart. That event gave rise to another of the 16 recoveries — the black line, which itself merges into the 2002 recovery.
Cyclical and Secular Markets
How will our current recovery fare during the coming months and years? I'm reluctant to make any inferences based on the overlay charts other than the obvious. History shows us that some recoveries are the beginnings of secular bull markets. Others turn out to be cyclical bear market rallies.
The recovery since March 2009 is the second in the first decade of the 21st century, and it started from a lower low. As we can see in the inflation-adjusted chart below, history has witnessed several other examples of multiple recoveries in relatively close succession with lower starting points. Will the current recovery be another such example? Only time will tell.













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sábado, 17 de abril de 2010

What Sort Of Rebound?


What Sort Of Rebound?

from The Daily Dish | By Andrew Sullivan 

DougShortStockMarket
Greg Ip glances sideways at the recovery:
Yes, the economy is recovering, as everyone save the nihilists expected. However, the debate ought to be about the strength, not the fact, of the recovery. At the risk of gross oversimplification, the debate is this: do we follow the strong recovery model (the “V”) which holds that deep recessions are followed by strong recoveries, or the weak recovery model (the “U”) that holds that recessions caused by financial crises are followed by weak recoveries? I have long been in the latter camp. In fact, I describe my forecast as “reverse square root”, sort of a cross between a V and U (credit to George Soros for the term): an early cyclical rebound followed by muted growth. I’m still there.
Stock market chart from Doug Short.

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