Data – Page 6 – Donald Marron

1.1 Million More Jobs Lost

Today’s jobs report was weak across the board: September payrolls fell by 263,000, the unemployment rate rose to 9.8%, the underemployment rate (U-6) rose to 17.0%, and average weekly hours fell to 33.0, tying the record low set in June.

The Bureau of Labor Statistics also reported that payrolls declined by 13,000 more in July and August than it had previously estimated.

And if that weren’t enough, BLS also estimates the number of jobs back in March was actually 824,000 lower than previously reported (this is an estimate of the “benchmark revision” that BLS will make to the data early next year).

Putting these figures together, we find that the number of jobs has now declined by 1.1 million (263,000 + 13,000 + 824,000) more than we previously knew.

I have always found it frustrating that the BLS reports an estimate of the benchmark revision each October, but doesn’t incorporate that revision until the following February. That means that many analysts will be using incorrect data over the next few months.

If you want to know the number of jobs lost during the recession, for example, you might think you could get that number by clicking over to the BLS and comparing the number of jobs in September 2009 to the number of jobs in December 2007. That comparison would show total job losses of 7.2 million. Based on today’s estimate of the benchmark revision, however, it’s likely that the actual figure is more than 8.0 million.

Update: The original post had a typo for the average weekly hours; as noted above, the correct figure is 33.0, not 30.0.

Still Broad Weakness in Q2 GDP

Earlier today, the Bureau of Economic Analysis released updated GDP figures, estimating that the economy contracted at a 0.7% pace in the second quarter. The BEA’s well-named “third estimate” thus indicated that the decline in the second quarter was somewhat slower than the 1.0% BEA had previously estimated.

As I mentioned a couple of months ago, whenever the GDP data come out, the first thing I look at is Table 2, which shows how much different sectors of the economy contributed to the growth (or, in this case, the decline). Even with the small upward revision, the most striking thing about Q2 continues to be how broad the weakness was:

Broad Weakness in Q2 GDP (Third)

As the chart shows, Q2 witnessed declines in every major category of private demand: consumer spending, residential investment, business investment in equipment and software (E&S), business investment in structures, and exports. Wow. To find the last time that happened, you have to go all the way back to … the fourth quarter of last year, when it was even more severe. But before that, you have to go back five decades to the sharp downturn of the late 1950s.

Not surprisingly, government spending helped offset the declines in private spending. Most of the boost came from defense spending (a contribution of 0.7 percentage points), but state and local investment also helped (adding 0.48 percentage points, presumably at least in part due to stimulus spending).

A sharp decline in imports, finally, was the biggest contributor to growth in Q2, at least in an accounting sense. As I’ve noted before, it’s important to choose your words carefully here, since declining imports are clearly not the path to prosperity. In a GDP accounting sense, however, import declines do boost measured growth. Why? Well consider the fall in consumer spending. That decline affected both domestic production and imports. GDP measures domestic production, so we need a way to net out the decline in consumer spending that was attributable to imports. That’s one of the factors being captured in the imports figure.

Note: If the idea of contributions to GDP growth is new to you, here’s a quick primer on how to understand these figures. Consumer spending makes up about 70% of the economy. Consumer spending fell at a 0.9% pace in the second quarter. Putting those figures together, we say that consumer spending contributed about -0.6 percentage points (70% x -0.9%, allowing for some rounding) to second quarter growth.

Insight on Google and Unemployment

In a series of posts (here, here, and here), I have expressed concern that Google directs its users to what I think is the “wrong” measure of unemployment. For example, if you search for “unemployment rate United States” today, it will tell you that the U.S. unemployment rate in August was 9.6%, when the actual figure is 9.7%.

This discrepancy arises because Google directs users to data that haven’t been adjusted for seasonal variations. Almost all discussions of the national economy, however, use data that have been seasonally-adjusted. Why? Because seasonally-adjusted data (usually) make it easier to figure out what’s actually happening in the economy. The unemployment rate always spikes up in January, for example, because retailers lay off their Christmas help. But that doesn’t mean that we should get concerned about the economy every January. Instead, we should ask how the January increase in the unemployment rate compares to a typical year. That’s what seasonal adjustment does.

My concern about Google’s approach is that many (if not most) data users know nothing about seasonal adjustment. They simply want to know what the unemployment rate is and how it has changed over time. Directing those users to the non-seasonally-adjusted data thus seems like a form of search malpractice.

I’ve wondered why Google has chosen this approach, and thus was thrilled when reader Jonathan Biggar provided the answer in a recent comment. Jonathan writes:

Continue reading “Insight on Google and Unemployment”

Google and Me

A strange this happened last week: Google misplaced my blog.

I’ve run all the usual diagnostics, and I can confirm that Google still knows that my blog exists. But it no longer appears in any of the searches – e.g., “natural gas price”, “unemployment”, “budget deficit”, or “brooke boemio” – that used to help new readers find posts on my site.

Things are so bad, in fact, that my blog doesn’t even come up when you search for “donald marron”. I feel an existential crisis coming on.

I presume this is just the result of some obscure algorithm tweak and that, over time, my posts will reappear in the ranks of the Google-worthy. But it’s fun to imagine that Google is mad at me for my posts criticizing the way it reports unemployment data.

I just checked and, no surprise, Google is still reporting the wrong data. If you search for “unemployment rate”, Google will tell you that the U.S. unemployment rate was 9.6% in August, when in fact it was 9.7%. Why the difference? Because Google is reporting an obscure measure of unemployment, not the one used by 99% of the world.

Voyaging Through U.S. Jobs

In honor of Labor Day, you may want to check out Job Voyager by Flare. It provides a graphical history of the rise and fall of different types of jobs in the United States from 1850 to 2000.

Here’s what you get for “Farmer”:

Farmer Jobs

Back in 1850, farmers accounted for more than 40% of reported jobs. Today, less than 1%.

If you click around, you will find that the decline in farmers has been offset by growth in a host of jobs, including clerical, retail, and nurses.

And economists? Well, we grew rapidly until 1990, and then tailed off. Perhaps the would-be economists ran off to Wall Street instead?

Economist Jobs

P.S. The Job Voyager charts were inspired by the famous Name Voyager charts that let you track the popularity of first names.

Tracking the Stimulus: Update

Good news: The Recovery.gov website now includes information about the tax components of the stimulus, not just the spending components:

arrataxrelief

According to the chart, an estimated $62.5 billion made its way out the door in tax reductions through the end of August. The corresponding spending data indicate that $88.8 billion in federal spending made its way out the door by August 28.

Putting these together, you get an estimated $151.3 billion in combined tax reductions and spending increases through the end of August.

Continue reading “Tracking the Stimulus: Update”

OMB’s 2009 Deficit Estimate Is Likely Too High

As expected, the new budget projections from the Office of Management and Budget show an estimated deficit of $1.58 trillion in the current year (which ends on September 30).

In their coverage of the dueling budget releases, many members of the media are noting that this estimate is almost identical to the $1.59 trillion estimate released by the Congressional Budget Office. Thus, it may appear that OMB and CBO reached similar conclusions about this year’s deficit.

That is not correct.

OMB and CBO use different accounting for a growing part of the budget — the federal take-over of Fannie Mae and Freddie Mac. If you adjust for those accounting differences, an apples-to-apples comparison shows that OMB’s projection of a $1.58 trillion deficit should be compared to a CBO estimate of $1.41 trillion. (For details, see the table on p. 2 and the box on pp. 8-9 of CBO’s report.)

In other words, using identical accounting, CBO is projecting a deficit that is almost $200 billion less than projected by OMB.

Here’s how it works:

Continue reading “OMB’s 2009 Deficit Estimate Is Likely Too High”

Tracking the Stimulus

In her recent speech about the impact of the stimulus effort, Christina Romer, Chair of the President’s Council of Economic Advisers, noted that “as of the end of June, more than $100 billion had been spent.”

If you visit the government web site tracking the stimulus (Recovery.gov), however, it will tell you that the government had paid out only about $60 billion by July 3. (You can find this figure in the chart at the lower right hand corner of the home page.)

Why does Christi report a figure so much larger than the one reported on the official website? Because Recovery.gov isn’t tracking all of the budget effects of the stimulus.

Christi’s figure includes the $60 billion of spending reported on Recovery.gov plus an internal estimate, prepared by Treasury, of the tax reductions resulting from the stimulus effort through June 24. Those tax reductions are obviously a big deal, totaling $40 billion or slightly more through the end of June.

Based on conversations with friends and journalists, I get the sense that some users of Recovery.gov do not realize that its figures cover only the spending side of the stimulus story, not the tax side.

As a result, I think Recovery.gov is (unintentionally) confusing people into thinking that the stimulus effort to date is smaller than it has actually been.

I have two suggestions for how to fix this:

Step 1: Reduce Confusion: Recovery.gov should slap a warning label on the home page chart (and everywhere else it reports aggregate figures) that says something like: “These figures reflect only the new Federal spending that has resulted from the recovery act. The act also included significant tax reductions that aren’t reflected here.”

Step 2: Provide the Information: Of course, it would be even better if Treasury would release official estimates of the week-by-week or month-by-month tax reductions flowing from the recovery act. These figures would obviously be estimates — and thus not able to be audited to the same degree as the spending programs — but would be invaluable to analysts trying to track the impact of the stimulus effort.

P.S. As I noted last week, the Congressional Budget Office recently estimated that the total budget impact of the stimulus effort reached about $125 billion through the end of July.

Google Is Still Wrong About Unemployment

Everyone who follows the U.S. economy closely knows that the unemployment rate was 9.4% in July, down 0.1% from June.

Everyone, that is, except Google.

If you ask Google (by searching for “unemployment rate United States“), it will tell you the unemployment rate in July was 9.7%.

What’s going on? Well, it turns out that Google is directing users to the wrong data series. As I discussed last month, almost everyone who talks about unemployment is using (whether they know it or not) data that have been adjusted to remove known seasonal patterns in hiring and layoffs (e.g., many school teachers become unemployed in June and reemployed in August or September). Adjusting for such seasonal patterns is standard protocol because it makes it easier for data users to extract signals from the noisy movements in data over time.

For unknown reasons, Google has chosen not to direct users to these data. Instead, Google reports data that haven’t been seasonally adjusted and thus do not match what most of the world is using.

This is troubling, since I have high hopes for Google’s vision of bringing the power of search to data sets. The ability of users to find and access data lags far behind their ability to find and access text. I am hopeful that Google will solve part of this problem.

But data search is not about mindlessly pointing users to data series. You need to make sure that users get directed to the right data series. So far, Google is failing on that front, at least with unemployment data.

P.S. As I discussed in a follow-up post last month, Wofram Alpha has an even more ambitious vision for making data — and computation — available through search. I like many of the things Alpha is trying to do, but they are lagging behind Google in several ways. For example, as I write this, they haven’t updated the unemployment data yet to reflect the new July data. (Click here for Alpha results.)

Bing isn’t trying yet.

Broad Weakness in Q2 GDP

The economy contracted at a 1.0% pace in the second quarter, according to the advance estimate from the Bureau of Economic Analysis. That’s bad, of course, but much better than the 5.4% and 6.4% pace of declines in the two previous quarters.

Whenever the GDP data come out, the first thing I look at is Table 2, which shows how much different sectors of the economy contributed to the growth (or, in this case, the decline). The most striking thing about Q2 is how broad the weakness was:

Broad Weakness in Q2 2009

Not surprisingly, government spending helped offset the declines in private spending. Most of the boost came from defense spending, but state and local investment also helped (perhaps some glimmers of stimulus?).

A sharp decline in imports, finally, was the biggest contributor to growth in Q2, at least in an accounting sense. It’s important to choose your words carefully here, since declining imports are clearly not the path to prosperity. In a GDP accounting sense, however, import declines do boost measured growth. Why? Well consider the fall in consumer spending. That decline affected both domestic production and imports. GDP measures domestic production, so we need a way to net out the decline in consumer spending that was attributable to imports. That’s one of the factors being captured in the imports figure.

Note: If the idea of contributions to GDP growth is new to you, here’s a quick primer on how to understand these figures. Consumer spending makes up about 70% of the economy. Consumer spending fell at a 1.2% pace in the second quarter. Putting those figures together, we say that consumer spending contributed about -0.9 percentage points (70% x -1.2%, allowing for some rounding) to second quarter growth.

As I mentioned a few weeks ago, today’s GDP release is particularly important because the fine people at the BEA have gone back and made revisions to the entire history of GDP statistics. I will post again once I have a chance to review how history has changed.