The Everyday Economist

SEA Update

November 28, 2009 · Leave a Comment

I had a great time at the SEA meetings in San Antonio. I thought the session went very well. I also had the opportunity to discuss a variety of topics with my fellow panelists.

Looking around the blogosphere, it appears that others enjoyed the session as well. David Beckworth, one of the session participants, writes:

I left the meetings more convinced than ever that a nominal income target would have done a lot to prevent the crisis–in terms of minimizing the buildup of economic imbalances during the 2003-2005 nominal spending boom as well as the late 2008, early 2009 nominal spending collapse–and is the best way forward for U.S. monetary policy given the current institutional arrangements in the United States.

Also, Larry White writes:

The most interesting session I attended at the Southern Economic Assn. meetings over the (weekend + Monday) was on nominal income targeting as the least-bad monetary policy rule for a fiat money regime.

I would like to thank the session participants for their contributions as well as the attendees for thoughtful comments and questions.

→ Leave a CommentCategories: Economic News

“Made In” Labels

November 28, 2009 · Leave a Comment

Whenever I discuss international trade in a principles course, I like to put the name of a particular product on the board that is “made in” another country. We then discuss where components of that product are made. Location and the complexity of production often result in using an automobile example, but there are certainly other goods where this analysis can be enlightening. I use these examples because the complexity of production and the flow of goods often tell a different story that trade balances and “made in” labels.

With that being said, it was encouraging to see Edmund Conway writing on this very topic in the UK Telegraph:

In my column this morning on manufacturing (Shock news – Britain still makes things) I didn’t have space to mention one other important misconception about manufacturing: that just because something is “made in China” or somewhere else in the emerging world doesn’t necessarily mean that the money from its construction goes to that place alone. This helps explain why, in broad terms, a developed economy does not need a trade surplus (or even a balance) in order to survive.

Let’s take the iPod (or the iPhone for that matter) as an example. On the back of it it says “Designed by Apple, Made in China” or words to that effect. What this tells you is who designed it and who put it together. What it doesn’t reveal is the complex economic web that the product represents – that the cash you pay for one of them is scattered to many different countries around the world.

Read the whole thing.

→ Leave a CommentCategories: Economic News

SEA Meetings

November 19, 2009 · 2 Comments

The Southern Economic Association will be holding its meeting in San Antonio beginning on Saturday. I bring this up because I have put together a session entitled, “Nominal Income Targeting, the Productivity Norm, and Monetary Stability.” The panel consists of George Selgin, Scott Sumner, David Beckworth, and myself. We will be presenting on Monday morning at 10 a.m. Here is a list of the presentations:

— George Selgin, “Greenspan’s Bubble: The Productivity Connection”

— Scott Sumner, “Could Nominal Income Targeting Have Prevented the Current Recession?”

— David Beckworth, “Is the Federal Reserve a Monetary Superpower?”

— Josh Hendrickson, “Nominal Spending and the Great Moderation: Theory and Evidence”

→ 2 CommentsCategories: 2008 Recession · Economic News · Macroeconomic Theory

For Your Listening Pleasure

November 16, 2009 · Leave a Comment

I have been rather busy as of late and haven’t had time to post. While you are waiting, you might enjoy a few podcasts that I have been listening to while driving and working out:

  • Charles Plosser on Bloomberg on the Economy with Tom Keene (the link is to an .mp3 file)
  • Scott Sumner on EconTalk discussing monetary policy.
  • Charles Calomiris on EconTalk discussing the financial crisis.

→ Leave a CommentCategories: Economic News · Site News

In Defense of Allan Meltzer

November 3, 2009 · 3 Comments

Allan Meltzer is one of the greatest monetary economists to have ever lived (although credit is also due to his long-time collaborator Karl Brunner, who Meltzer would be the first to acknowledge). This is not hyperbole. Meltzer’s work emphasizes the role of imperfect information, uncertainty, and transactions costs in developing an understanding of the role of money in exchange (AER, 1971 with Karl Brunner), the business cycle (with Alex Cukierman and Karl Brunner, JME 1983), evaluating alternate monetary regimes (1986 JME), and the role of monetary and fiscal policy (to be concise, on monetary policy, with Cukierman, Econometrica 1986; Economic Inquiry, 1987; with Mascaro, JME, 1983; with Brunner Carnegie-Rochester Series, 1983; on fiscal policy, with Scott Richard, JPE, 1981; with Brunner, 1993). This is not to mention Meltzer’s work on the history of the Federal Reserve and the monetary transmission mechanism.

For all the talk about economics needing to find a new vision, the work of Allan Meltzer (and his co-authors) represents a strong foundation on which to build.

What’s more, Meltzer has long embraced Keynes’s vision of uncertainty. More importantly, and unlike most others who have done so, he has recognized that uncertainty plagues not only individuals and firms, but also government policy makers.

With that being said, it was particularly disheartening to see Brad DeLong address Meltzer as follows:

Exercise some moral responsibility, Allan.

Shameless partisan hack.

Why would DeLong write such a thing? It seems that he doesn’t much like Meltzer’s critique of quantifying jobs “saved or created” by the stimulus package. Specifically, in a memo to John Boehner, Meltzer writes:

There is no greater recognition of the failure of the stimulus program to create jobs than the efforts to mislead the public into believing the program had saved thousands, or millions, of jobs.

One can search economic textbooks forever without finding a concept called “jobs saved.” It doesn’t exist for good reason: how can anyone know that his or her job has been saved?

The Administration can make up any number it pleases. The number has no meaning.

DeLong argues that this is ridiculous and appeals to authority by citing Milton Friedman arguing that the Depression was worsened by the Fed’s failure to prevent the money stock from declining:

If the concept of “jobs saved” does not exist, how come Milton Friedman says that an extra $1 billion of open market operations in late 1931 would have stopped the Great Depression in its tracks.

He continues:

You can critique models. You can critique parameters. You can critique parameters. You can critique how the calculations are done, but you cannot deny their existence, for the kind of counterfactualcalculations that Milton Friedman does are, of course, the steady diet of what economists and other policy analysts do every day.

Of course, if we expand the earlier quote of Allan Meltzer, we would find that this is precisely what Meltzer is doing in his memo. Here is the full quote:

There is no greater recognition of the failure of the stimulus program to create jobs than the efforts to mislead the public into believing the program had saved thousands, or millions, of jobs.

One can search economic textbooks forever without finding a concept called “jobs saved.” It doesn’t exist for good reason: how can anyone know that his or her job has been saved?

The Administration can make up any number it pleases. The number has no meaning. The Council of Economic Advisers gets a number for jobs saved using the same model that Dr. Christina Romer and Jared Bernstein used when they forecast that the $787 stimulus program would keep the worst unemployment rate in this recession at about eight percent. But as we all know, since that bill became law, our economy has shed some three million jobs and the unemployment rate is nearing double digits.

In other words, Meltzer believes that the model that was used to assess the benefits of the stimulus package is significantly flawed and an impractical guide to assess job creation. In addition, his earlier point is that there is no meaningful basis on which to calculate jobs “saved or created”.

Greg Mankiw has made much the same point:

That is, I do not object to claims such as,

A: “Based on our models of the economy, we believe there would be X million fewer jobs today without the stimulus.”

But it is absurd to suggest that you can say,

B: “We have measured how many jobs the stimulus has saved or created, and the number is X.”

Economists are capable of making statements such as A, but it is beyond our ken to make statements such as B. Statement B is,of course, much stronger than statement A, as it purports to be based on data rather than on models. Unfortunately, we are hearing statements like B much too often from administration officials.

Going beyond Mankiw’s description above, statements exemplified by A are dependent on the model that is used. Several questions need to be addressed. How useful is the model? What are the assumptions? How does it compare with other models in the literature?

These questions have been addressed in the paper by John Cogan, Tobias Cwik, John Taylor, and Volker Wieland entitled, “New Keynesian Versus Old Keynesian Government Spending Multipliers”. The model used by Bernstein and Romer is an Old Keynesian model. These authors compare and contrast the Bernstein-Romer model with the Smets-Wouters model that exemplifies the current consensus in macroeconomic thought. Here is their conclusion:

We find that the government spending multipliers from permanent increases in federal government purchases are much less in new Keynesian models than in old Keynesian models. The differences are even larger when one estimates the impacts of the actual path of government purchases in fiscal packages, such as the one enacted in February 2009 in the United States or similar ones discussed in other countries. The multipliers are less than one as consumption and investment are crowded out. The impact in the first year is very small. And as the government purchases decline in the later years of the simulation, the multipliers turn negative.

The estimates reported here of the impact of such packages are in stark contrast to those reported in the paper by Christina Romer and Jared Bernstein. They report impacts on GDP for a broad fiscal package that are six times larger than those implied by government spending multipliers in a typical new Keynesian model and our calculations based on generous assumptions of the impacts of tax rebates and transfers on GDP. They also report job estimates that are six times larger than these alternative models, and the impacts on private sector jobs are likely to be at variance with the alternative models by an even larger amount. At the least, our findings raise serious doubts about the robustness of the models and the approach currently used for practical fiscal policy evaluation.

Allan Meltzer clearly thinks that the model used by Bernstein and Romer is flawed. The work of Cogan, Cwik, Taylor, and Wieland suggests that there is reason to believe that Meltzer is correct to doubt the model.

In addition, Meltzer’s critique of the success of the stimulus package also raises important questions about attributing the recovery to the stimulus package. Specifically, he cites the role of “Cash for Clunkers” and new homebuyer tax credits in contributing to third quarter growth, neither of which was in the stimulus package.

Allan Meltzer is one of the greatest monetary economists to have ever lived. He deserves much better treatment than to be called a “shameless partisan hack”.

UPDATE: Mario Rizzo writes:

As we have been saying here, the claims that the fiscal stimulus has saved or created X number of jobs is not a simple empirical question. It must be an inference from a model that tells us what would have happened in the absence of that stimulus. Collecting reports from various firms or local governments about their job situations will not do. At best these individual reports are based on pop-theories on the part of the reporters about what would have happened.

→ 3 CommentsCategories: 2008 Recession · Economic News · Macroeconomic Theory · Politics · Stimulus

Assessing the Stimulus

October 31, 2009 · Leave a Comment

The current administration has unveiled an entirely new metric for measuring the success of stimulus spending. Rather than claim credit for “creating” jobs, they have focused on jobs that were “created or saved” by the stimulus. This, of course, is a preposterous notion. How do we know that a job was saved? The idea of transparent reporting from the government is welcome, but transparent reporting is only part of the problem. What precisely is the definition of a “saved” job? This might seem a bit facetious, but bear with me.

Suppose that a municipality receives money to pave a road. They hire a private firm to do the job. The firm was planning on laying off (we’ll say) 10 workers. However, given the new job, the firm keeps those 10 men on payroll. This seems pretty straightforward. It’s not. These 10 workers might be kept on the payroll until the completion of this job and let go thereafter. Does this still count as a job saved? How long does the person have to remain employed for it to be considered a job “saved”? Near as I can tell, this doesn’t factor in to the decision-making.

Consider another example. Suppose that a state or municipality announces that they are going to lay off teachers or police officers. If stimulus funds keep these individuals employed, this is considered a job that was saved. However, how do we know that state and local governments weren’t, at the very least, exaggerating the number of individuals that were going to lose their jobs in a ploy for more stimulus money?

Of course, all of this ignores the financing. The government doesn’t have money, it must borrow and tax in order to spend money. Thus, any metric of job creation measures gross job creation, but what we are really concerned with is net job creation.

With that being said, the number that has been released regarding the “saved or created” jobs was estimated to be between 640,329 and 1 million jobs. That means that the stimulus has cost between $160,000 and $250,000 per job. (Jared Bernstein calls that “calculator abuse.”)

White House officials have been quick to mention that these numbers do not include jobs that were saved or created through the temporary tax cuts. As I have mentioned numerous times on the blog, temporary tax cuts don’t work. John Taylor has documented this fact for the last two rebate checks. Thus, it would seem that including the cost of these tax cuts would actually inflate the cost per job.

Ultimately, I am not entirely sure what we are to get from the “jobs saved or created” metric. There doesn’t seem to be any true objective way to quantify such a thing. Regardless, based on the data on jobs and growth up to this point, one can hardly conclude that the stimulus has been successful.

UPDATE: John Taylor breaks down the GDP numbers and concludes that the “stimulus did not fuel GDP growth.”

Casey Mulligan writes that he is “still waiting for mistakes that underestimate the potentcy of the stimulus.”

→ Leave a CommentCategories: 2008 Recession · Economic News · Politics · Stimulus
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The Future of Too Big Too Fail

October 29, 2009 · Leave a Comment

As we emerge from the financial crisis, it is important to develop a framework for dealing with failing institutions. In particular, the nature of the doctrine of “too big to fail” must be addressed and re-examined. Recently, John Taylor and Larry White have spoken out about the need for a rule of law rather than a discretionary authority. Their comments and my thoughts are below the fold.

Keep reading →

→ Leave a CommentCategories: Economic News · Fed Watch · Politics
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Prisoner’s Dilemma

October 25, 2009 · Leave a Comment

The prisoner’s dilemma illustrated via YouTube:

HT: John Taylor

UPDATE: Scott Sumner writes, “I’ve never been more proud to be human.”

→ Leave a CommentCategories: Econ YouTube · Everyday Econ

Taylor

October 18, 2009 · Leave a Comment

Why didn’t anyone tell me that John Taylor is blogging?

In any event, Taylor does some of the best work in the profession — thoughtful, careful, and persuasive. Definitely check out the blog.

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There is No Such Thing as ‘Clutch’

October 16, 2009 · Leave a Comment

Those who know me personally can attest to the fact that I am a big sports fan. More importantly, I am a sports fan who pays close attention to statistics and what those statistics mean — especially in baseball. One of my biggest pet peeves as a sports fan is when an announcer refers to a player as “clutch”. This bothers me because it is usually after pointing out that a particular batter is 6 for 7 with the bases loaded (or runners in scoring position or . . . ) thereby ignoring the relevance of sample size. It is with great pleasure that I discovered J.C. Bradbury’s recent post on clutch hitting. Here is an overview:

I used probit models to estimate the likelihood that a player would get a hit (1 = hit; 0 = otherwise), or get on base (1= hit, walk, or hbp; 0 = otherwise) controlling for the player’s seasonal performance in that area (AVG or OBP), RISP 1989–91 performance in that area, whether the the platoon advantage was in effect (1 = platton; 0 = otherwise), and the pitcher’s ability in that area. To test hitting power, I used the count regression negative binomial method to estimate the expected number of total bases during the plate appearance and used his RSIP SLG 1989–1991 as a proxy for clutch skill in this area.

[...]

In samples of this size, statistical significance isn’t difficult to achieve; therefore, it isn’t surprising that in all but two instances the variables are significant. The two that are insignificant are the past RISP performance in batting average and slugging average. Thus, clutch ability doesn’t appear to be strong here.

However, the estimate of a clutch effect is statistically significant for getting on base. Is this evidence for clutch ability? Well, let’s interpret the coefficient. Every one-unit increase in RISP OBP is associated with a 0.00018 increase in the likelihood of getting on base; thus, a player increasing his RISP OBP by 0.010 (10 OBP points) increases his on-base probability by 0.0000018. For practical purposes, there is no effect.

There is no such thing as “clutch”.

→ Leave a CommentCategories: Economic News · Sports Econ
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