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April 17, 2015
Déjà Vu All Over Again
In a recent interview, Fed Vice Chairman Stanley Fischer said, “The first quarter was poor. That seems to be a new seasonal pattern. It's been that way for about four of the last five years.”
The picture below illustrates the vice chair's sentiment. Output in the first quarter has grown at a paltry 0.6 percent during the past five years, compared to a 2.9 percent average during the remaining three quarters of the year.
What's causing this pattern? Well, it could be we just get really unlucky at the same time every year. Or, it could be a more technical problem with seasonal adjustment after the Great Recession (this paper by Jonathan Wright covers the topic using payroll data). It also seems likely that we can just blame the weather (see this Wall Street Journal blog post).
Whatever the reason for the first-quarter weakness, it appears to be happening again. Our current quarterly tracking estimate—GDPNow—has first-quarter growth hovering just above zero. As for the rest of the year, we'll have to wait and see. We of course hope it follows the postrecession pattern.
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April 02, 2015
What Seems to Be Holding Back Labor Productivity Growth, and Why It Matters
The Atlanta Fed recently released its online Annual Report. In his video introduction to the report, President Dennis Lockhart explained that the economic growth we have experienced in recent years has been driven much more by growth in hours worked (primarily due to employment growth) than by growth in the output produced per hour worked (so-called average labor productivity). For example, over the past three years, business sector output growth averaged close to 3 percent a year. Labor productivity growth accounted for only about 0.75 percentage point of these output gains. The rest was due primarily to growth in employment.
The recent performance of labor productivity stands in stark contrast to historical experience. Business sector labor productivity growth averaged 1.4 percent over the past 10 years. This is well below the labor productivity gains of 3 percent a year experienced during the information technology productivity boom from the mid-1990s through the mid-2000s.
John Fernald and collaborators at the San Francisco Fed have decomposed labor productivity growth into some economically relevant components. The decomposition can be used to provide some insight into why labor productivity growth has been so low recently. The four factors in the decomposition are:
- Changes in the composition of the workforce (labor quality), weighted by labor's share of income
- Changes in the amount and type of capital per hour that workers have to use (capital deepening), weighted by capital's share of income
- Changes in the cyclical intensity of utilization of labor and capital resources (utilization)
- Everything else—all the drivers of labor productivity growth that are not embodied in the other factors. This component is often called total factor productivity.
The chart below displays the decomposition of labor productivity for various time periods. The bar at the far right is for the last three years (the next bar is for the past 10 years). The colored segments in each bar sum to average annual labor productivity growth for each time period.
Taken at face value, the chart suggests that a primary reason for the sluggish average labor productivity growth we have seen over the past three years is that capital spending growth has not kept up with growth in hours worked—a reduction in capital deepening. Declining capital deepening is highly unusual.
Do we think this sluggishness will persist? No. In our medium-term outlook, we at the Atlanta Fed expect that factors that have held down labor productivity growth (particularly relatively weak capital spending) will dissipate as confidence in the economy improves further and firms increase the pace of investment spending, including on various types of equipment and intellectual capital. We currently anticipate that the trend in business sector labor productivity growth will improve to a level of about 2 percent a year, midway between the current pace and the pace experienced during the 1995–2004 period of strong productivity gains. That is, we are not productivity pessimists. Time will tell, of course.
Clearly, this optimistic labor productivity outlook is not without risk. For one thing, we have been somewhat surprised that labor productivity has remained so low for so long during the economic recovery. Moreover, the first quarter data don't suggest that a turning point has occurred. Gross domestic product (GDP) in the first quarter is likely to come in on the weak side (the latest GDPNow tracking estimate here is currently signaling essentially no GDP growth in the first quarter), whereas employment growth is likely to be quite robust (for example, the ADP employment report suggested solid employment gains). As a result, we anticipate another weak reading for labor productivity in the first quarter. We are not taking this as refutation of our medium-term outlook.
Continued weakness in labor productivity would raise many important questions about the outlook for both economic growth and wage and price inflation. For example, our forecast of stronger productivity gains also implies a similarly sized pickup in hourly wage growth. To see this, note that unit labor cost (the wage bill per unit of output) is thought to be an important factor in business pricing decisions. The following chart shows a decomposition of average growth in business sector unit labor costs into the part due to nominal hourly wage growth and the part offset by labor productivity growth:
The 1975–84 period experienced high unit labor costs because labor productivity growth didn't keep up with wage growth. In contrast, the relatively low and stable average unit labor cost growth we have experienced since the 1980s has been due to wage growth largely offset by gains in labor productivity. Our forecast of stronger labor productivity growth implies faster wage growth as well. That said, a rise in wage growth absent a pickup in labor productivity growth poses an upside risk to our inflation outlook.
Of course, the data on productivity and its components are estimates. It is possible that the data are not accurately reflecting reality in real time. For example, colleagues at the Board of Governors suggest that measurement issues associated with the price of high-tech equipment may be causing business investment to be somewhat understated. That is, capital deepening may not be as weak as the current data indicate. In a follow-up blog to this one, my Atlanta Fed colleague Patrick Higgins will explore the possibility that the weak labor productivity we have recently experienced is likely to be revised away with subsequent revisions to GDP and hours data.
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March 05, 2015
Could Reduced Drilling Also Reduce GDP Growth?
Five or six times each month, the Atlanta Fed posts a "nowcast" of real gross domestic product (GDP) growth from the Atlanta Fed's GDPNow model. The most recent model nowcast for first-quarter real GDP growth is provided in table 1 below alongside alternative forecasts from the Philadelphia Fed's quarterly Survey of Professional Forecasters (SPF) and the CNBC/Moody's Analytics Rapid Update survey. The Atlanta Fed's nowcast of 1.2 percent growth is considerably lower than both the SPF forecast (2.7 percent) and the Rapid Update forecast (2.6 percent).
Why the discrepancy? The less frequently updated SPF forecast (now nearly a month old) has the advantage of including forecasts of major subcomponents of GDP. Comparing the subcomponent forecasts from the SPF with those from the GDPNow model reveals that no single factor explains the difference between the two GDP forecasts. The GDPNow model forecasts of the real growth rates of consumer spending, residential investment, and government spending are all somewhat weaker than the SPF forecasts. Together these subcomponents account for just under 1.0 percentage point of the 1.5 percentage point difference between the GDP growth forecasts.
Most of the remaining difference in the GDP forecasts is the result of the different forecasts for real business fixed investment (BFI) growth. The GDPNow model projects a sharp 13.5 percent falloff in nonresidential structures investment that largely offsets the reasonably strong increases in the other two subcomponents of BFI. Much of this decline is due to petroleum and natural gas well exploration; a component which accounts for almost 30 percent of nonresidential structures investment and looks like it will fall sharply this quarter. The remainder of this blog entry "drills" down into this portion of the nonresidential structures forecast (pun intended). (A related recent analysis using the GDPNow model has been done here).
A December macroblog post I coauthored with Atlanta Fed research director Dave Altig presented some statistical evidence that in the past, large declines in oil prices have had a pronounced negative effect on oil and mining investment. Chart 1 below shows that history appears to be repeating itself.
The Baker Hughes weekly series on active rotary rigs for oil and natural gas wells has plummeted from 1,929 for the week ending November 21 to 1,267 for the week ending February 27. The Baker Hughes data are the monthly source series for drilling oil and gas wells industrial production (IP) and one of the two quarterly source series for the U.S. Bureau of Economic Analysis's (BEA) estimate of drilling investment (for example, petroleum and natural gas exploration and wells). The other source series for drilling investment is footage drilled completions from the American Petroleum Institute, released about a week before the BEA publishes its initial estimate of GDP.
Chart 2 displays three of these indicators of drilling activity. The data are plotted in logarithms so that one-quarter changes approximate quarterly growth rates. The chart makes clear that the changes in each of the three series are highly correlated, suggesting that the Baker Hughes rig count can be used to forecast the other series. The Baker Hughes data end on February 27, and we can (perhaps conservatively) extrapolate it forward by assuming it remains at its last reading of 1,267 active rigs through the end of the quarter. We can then use a simple regression to forecast the February and March readings of drilling oil and gas wells IP. Another simple regression with the IP drilling series and its first-quarter forecast allows us to project first-quarter real drilling investment. The forecasts, shown as dashed lines in chart 2, imply real drilling investment will decline at an annual rate of 52 percent in the first quarter. This decline is steeper than the current GDPNow model forecast of a 36 percent decline as the latter does not account for the decline in active rotary rigs in February.
A 52 percent decline in real nonresidential investment in drilling would likely subtract about 0.5 percentage point off of first-quarter real GDP growth. However, it's important to keep in mind that a lot of first quarter source data for GDP are not yet available. In particular, almost none of the source data for the volatile net exports and inventory investment GDP subcomponents have been released. So considerable uncertainty still surrounds real GDP growth this quarter.
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February 20, 2015
Business as Usual?
Each month, we ask a large panel of firms to compare their current sales with "normal times." In our February survey, the firms in our panel reported their sales were approaching normal. Indeed, on average, larger firms (those with 100 or more employees) tell us sales levels this month were right at normal. But smaller firms, although improving, are still lagging their larger counterparts (see the chart).
These qualitative assessments suggest a continuation of the trend we've seen in our quarterly quantitative data (these data are compiled at the end of each quarter). In December, our panel of firms reported sales levels about 2.7 percent below normal—virtually identical to the Congressional Budget Office's estimate of the output gap. Here, too, our survey data show that on average, sales of the larger firms in our panel were essentially back to normal, but smaller firms were still reporting ample slack (see the chart).
Our next quantitative assessment of slack in U.S. business is due for release on March 20.
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December 04, 2014
The Long and Short of Falling Energy Prices
Earlier this week, The Wall Street Journal asked the $1.36 trillion question: Lower Gas Prices: How Big A Boost for the Economy?
We will take that as a stand-in for the more general question of how much the U.S. economy stands to gain from a drop in energy prices more generally. (The "$1.36 trillion" refers to an estimate of energy spending by the U.S. population in 2012.)
It's nice to be contemplating a question that amounts to pondering just how good a good situation can get. But, as the Journal blog item suggests, the rising profile of the United States as an energy producer is making the answer to this question more complicated than usual.
The data shown in chart 1 got our attention:
As a fraction of total investment on nonresidential structures, spending on mining exploration, shafts, and wells has been running near its 50-year high over the course of the current recovery. As a fraction of total business investment in equipment and structures, the current contribution of the mining and oil sector is higher than any time since the early 1980s (and generally much higher than most periods during the last half century).
In a recent paper, economists Soren Andersen, Ryan Kellogg, and Stephen Salant explain why this matters:
We show that crude oil production from existing wells in Texas does not respond to current or expected future oil prices... In contrast, the drilling of new wells exhibits a strong price response...
In short, the investment piece really matters.
We've done our own statistical investigations, asking the following question: What is the estimated impact of energy price shocks in the second half of this year on investment, consumer spending, and gross domestic product (GDP)?
If you are interested, you can find the details of the statistical model here. But here is the bottom line: the estimated impact of energy price shocks is a very sizeable decline in investment in the mining and oil subsector relative to baseline and, more importantly, an extended period of flat to slightly negative growth in overall investment relative to baseline (see chart 2).
In our simulations, the "baseline" is the scenario without the ex-post energy price shocks occurring in the third and fourth quarters of 2014, while the "alternative" scenario incorporates the (estimated) actual energy price shocks that have occurred in the second half of this year. These shocks lead to a cumulative 8 percent drop in consumer energy prices and a 6 percent drop in producer energy prices by the fourth quarter of this year relative to baseline. By the fourth quarter of 2017, 2 percentage points of these respective energy price declines are reversed. In chart 2 above, each colored line represents the percentage point difference between the "alternative" scenario and the "baseline" scenario.
As for consumption and GDP? Like overall investment, there is a short-run drag before the longer-term boom, as chart 3 shows:
So is the recent decline in energy prices good news for the U.S. economy? Right now our answer is yes, probably—but we may have to be patient.
Note: We have updated this post since it was originally released, clarifying a sentence in the paragraph above chart 2 and providing the data for the charts. The original sentence stated: But here is the bottom line: the estimated impact of energy price shocks is a very sizeable decline in investment in the mining and oil subsector and, more importantly, an extended period of flat to slightly negative growth in overall investment (see chart 2).
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September 15, 2014
The Changing State of States' Economies
Timely data on the economic health of individual states recently came from the U.S. Bureau of Economic Analysis (BEA). The new quarterly state-level gross domestic product (GDP) series begins in 2005 and runs through the fourth quarter of 2013. The map below offers a look at how states have fared since 2005 relative to the economic performance of the nation as a whole.
It’s interesting to see the map depict an uneven expansion between the second quarter of 2005 and the peak of the cycle in the fourth quarter of 2007. By the fourth quarter of 2008, most parts of the country were experiencing declines in GDP.
The U.S. economy hit a trough during the second quarter of 2009, according to the National Bureau of Economic Research, but 20 states and the District of Columbia recovered more quickly than the rest. The continued progress is easy to see, as is the far-reaching impact of the tsunami that hit Japan on March 11, 2011, which disrupted economic activity in many U.S. states. By the fourth quarter of 2013, only two states—Mississippi and Minnesota—experienced negative GDP.
The map shows that not all states are growing even when overall GDP is growing, and not all states are shrinking even when overall GDP is shrinking. But if we want to know more about which states are driving the change in overall GDP growth, then the geographic size of the state might not be so important.
Depicting states scaled to the size of their respective economies provides another perspective, because it’s the relative size of a state’s economy that matters when considering the contribution of state-level GDP growth to the national economy. The following chart uses bubbles (sized by the size of the state’s economy) to depict changes in states’ real GDP from the second quarter of 2005 through the fourth quarter of 2013.
This chart shows how the economies of larger states such as California, New York, Texas, Florida, and Illinois have an outsize influence on the national economy, despite some having a smaller geographic footprint. (Conversely, changes in the relatively small economy of a geographically large state like Montana have a correspondingly small impact on changes in the national economy.)
Overall GDP is now well above its prerecession peak. But have all states also fully recovered their GDP losses? The chart below depicts the cumulative GDP growth in each state from the end of 2007 to the end of 2013. The size of the circle represents the magnitude of the change in the level of real GDP between the end of 2007 and 2013. Most states have fully recovered in terms of GDP. (North Dakota’s spectacular growth stands out, thanks to its boom in the oil and gas industry.) However, Florida, Nevada, Connecticut, Arizona, New Jersey, and Michigan had not returned to their prerecession spending levels as of the end of 2013. For Florida, Nevada, and Arizona, the depth of the collapse in those states’ booming housing sectors is almost certainly responsible for the relative shortfall in performance since 2007.
The next release of the state-level GDP data, scheduled for September 26, will provide insight into the relative performance of state economies during the first quarter of 2014 at a time when overall GDP shrank by more than 2 percent (annualized rate). Some analysts have suggested that weather disruptions were a leading cause for that decline. The state-level GDP data will help tell the story.
By Whitney Mancuso, a senior economic analyst in the the Atlanta Fed's research department
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August 21, 2014
Seeking the Source
As the early data on the third quarter begin to roll in, the (very tentative) conclusion is that nothing we know yet contradicts the consensus gross domestic product (GDP) forecast (from the Blue Chip panel, for example) of seasonally adjusted annualized Q3 growth in the neighborhood of 3 percent. The latest from our GDPNow model:
The GDPNow model forecast for real GDP growth (seasonally adjusted annual rate) in the third quarter of 2014 was 3.0 percent on August 19, up from 2.8 percent on August 13. The nowcast for inventory investment ticked up following the Federal Reserve's industrial production release on August 15 while the nowcast for residential investment growth increased following this morning's new residential construction release from the U.S. Census Bureau.
The contribution of residential investment is obviously welcome, but the inventory contribution in the industrial production release tilts in the direction of one of our concerns about growth performance in the second quarter. Specifically, too much inventory spending, too little "core" spending.
On the plus side, our projections for current-quarter investment spending have been increasing, outside of nonresidential structures. On the much less positive side, the nowcast for consumer spending has been falling off and currently looks to expand at a pace barely above 2 percent.
Weakness over the course of this recovery in the key GDP expenditure components of consumer spending and investment has been the subject of a lot of commentary, recent entries being provided by Jonathon McCarthy (on the former, at Liberty Street Economics) and Jim Hamilton (on the latter, at Econbrowser). McCarthy in particular points to less-than-robust consumption expenditure as a source of growth since the end of the recession that has been slower than hoped for:
One contributor to the subdued pace of economic growth in this expansion has been consumer spending. Even though consumption growth has been somewhat stronger in the past couple of quarters, it has still been weak in this expansion relative to previous expansions.
An earlier version of the McCarthy theme appeared in this post on Atif Mian and Amir Sufi's House of Debt blog:
...the primary culprit: consumption of services and non-durable goods. They are shockingly weak relative to other recoveries.
There is something of a chicken-and-egg conundrum in all of this discussion. Has GDP growth disappointed because consumer and business spending has been lackluster? Or has consumer and business spending been weaker than we expected because GDP growth has lagged the pace of past recoveries?
In fact, the growth rates of consumption expenditure and business fixed investment—which excludes the residential housing piece—have not been particularly unusual over the course of this recovery once you account for the pace of GDP growth.
The following charts illustrate the average contributions of consumption and investment spending as a percent of average GDP growth for the 20 quarters following six of the last seven U.S. recessions. (I have excluded the period following the 1969–70 recession because 20 quarters after that downturn include the entirety of the 1973–75 recession.)
It is worth noting that these observations also apply to the components of consumption (across services, durables, and nondurables) and business fixed investment (across equipment and intellectual property and structures), as the following two charts show:
The conclusion is that if growth in consumption and investment has been particularly tepid over the course of the recovery, it merely reflects the historically tepid growth in GDP.
Or the other way around. These charts represent nothing more than arithmetic exercises, a mechanical decomposition of GDP growth into couple of the spending components that make up to the whole. They tell us nothing about causation.
What we have is the same too-full bag of possible explanations for why GDP has not yet returned to levels that—before the financial crisis—we would have associated with "potential": too much regulation, too little lending, excessive uncertainty, not enough government-driven demand, and so on. Maybe more investment spending would cause more growth. Maybe not.
In the language of the hot topic of the moment, this ultimately takes us to the debate over secular stagnation—what does it mean, does it exist, what is its cause if it does exist? Steve Williamson provides a useful summary of the debate, which is not yet at the point of providing actual answers. And unfortunately, the answers really matter.
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August 08, 2014
To say that last week was somewhat eventful on the macroeconomic data front is probably an exercise in understatement. Relevant numbers on GDP growth (past and present), employment and unemployment, and consumer price inflation came in quick succession.
These data provide some of the context for our local Federal Open Market Committee participant’s comments this week (for example, in the Wall Street Journal’s Real Time Economics blog, with similar remarks made in an interview on CNBC’s Closing Bell). From that Real Time Economics blog post:
Although the economy is clearly growing at a respectable rate, Federal Reserve Bank of Atlanta President Dennis Lockhart said Wednesday it is premature to start planning an early exit from the central bank’s ultra-easy policy stance.
“I’m not ruling out” the idea the Fed may need to raise short-term interest rates earlier than many now expect, Mr. Lockhart said in an interview with The Wall Street Journal. But, at the same time, “I’m a little bit cautious” about the policy outlook, and still expect that when the first interest rate hike comes, it will likely happen somewhere in the second half of next year.
“I remain one who is looking for further validation that we are on a track that is going to make the path to our mandate objectives pretty irreversible,” Mr. Lockhart said. “It’s premature, even with the good numbers that have come in...to draw the conclusion that we are clearly on that positive path,” he said.
Why so “cautious”? Here’s the Atlanta Fed staff’s take on the state of things, starting with GDP:
With the annual benchmark revision in hand, 2013 looks like the real deal, the year that the early bet on an acceleration of growth to the 3 percent range finally panned out. Notably, fiscal drag (following the late-2012 budget deal), which had been our go-to explanation of why GDP appeared to have fallen short of expectations once again, looks much less consequential on revision.
Is 2014 on track for a repeat (or, more specifically, comparable performance looking through the collection of special factors that weighed on the first quarter)? The second-quarter bounce of real GDP growth to near 4 percent seems encouraging, but we are not yet overly impressed. Final sales—a number that looks through the temporary contribution of changes in inventories—clocked in at a less-than-eye-popping 2.3 percent annual rate.
Furthermore, given the significant surprise in the first-quarter final GDP report when the medical-expenditure-soaked Quarterly Services Survey was finally folded in, we’re inclined to be pretty careful about over-interpreting the second quarter this early. It’s way too early for a victory dance.
Regarding labor markets, here is our favorite type of snapshot, courtesy of the Atlanta Fed’s Labor Market Spider Chart:
There is a lot to like in that picture. Leading indicators, payroll employment, vacancies posted by employers, and small business confidence are fully recovered relative to their levels at the end of the Great Recession.
On the less positive side, the numbers of people who are marginally attached or who are working part-time while desiring full-time hours remain elevated, and the overall job-finding rate is still well below prerecession levels. Even so, these indicators are noticeably better than they were at this time last year.
That year-over-year improvement is an important observation: the period from mid-2012 to mid-2013 showed little progress in the broader measures of labor-market performance that we place in the resource “utilization” category. During the past year, these broad measures have improved at the same relative pace as the standard unemployment statistic.
We have been contending for some time that part-time for economic reasons (PTER) is an important factor in understanding ongoing sluggishness in wage growth, and we are not yet seeing anything much in the way of meaningful wage pressures:
There was, to be sure, a second-quarter spike in the employment cost index (ECI) measure of labor compensation growth, but that increase followed a sharp dip in the first quarter. Maybe the most recent ECI reading is telling us something that hourly earnings are not, but that still seems like a big maybe. Outside of some specific sectors and occupations (in manufacturing, for example), there is not much evidence of accelerating wage pressure in either the data or in anecdotes we get from our District contacts. We continue to believe that wage growth is most consistent with the view that that labor market slack persists, and underlying inflationary pressures (from wage costs, at least) are at bay.
Clearly, it’s dubious to claim that wages help much in the way of making forward predictions on inflation (as shown, for example, in work from the Chicago Fed, confirming earlier research from our colleagues at the Cleveland Fed). And in any event, we are inclined to agree that the inflation outlook has, in fact, firmed up. At this time last year, it was hard to argue that the inflation trend was moving in the direction of the Committee’s objective (let alone that it was not actually declining).
But here again, a declaration that the risks have clearly shifted in the direction of overshooting the FOMC’s inflation goals seems wildly premature. Transitory factors have clearly elevated recent statistics. The year-over-year inflation rate is still only 1.5 percent, and by most cuts of the data, the trend still looks as close to that level as to 2 percent.
We do expect measured inflation trends to continue to move in the direction of 2 percent, but sustained performance toward that objective is still more conjecture than fact. (By the way, if you are bothered by the appeal to a measure of core personal consumption expenditures in that chart above, I direct you to this piece.)
All of this is by way of explaining why we here in Atlanta are “a little bit cautious” about joining any chorus singing from the we’re-moving-on-up songbook. Paraphrasing from President Lockhart’s comments this week, the first steps to policy normalization don’t have to wait until the year-over-year inflation rate is consistently at 2 percent, or until all of the slack in the labor market is eliminated. But it is probably prudent to be fairly convinced that progress to those ends is unlikely to be reversed.
We may be getting there. We’re just not quite there yet.
By Dave Altig, executive vice president and research director of the Atlanta Fed
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July 21, 2014
GDP Growth: Will We Find a Higher Gear?
We are still more than a week away from receiving the advance report for U.S. gross domestic product (GDP) from April through June. Based on what we know to date, second-quarter growth will be a large improvement over the dismal performance seen during the first three months of this year. As of today, our GDPNow model is reading an annualized second-quarter growth rate at 2.7 percent. Given that the economy declined by 2.9 percent in the first quarter, the prospects for the anticipated near-3 percent growth for 2014 as a whole look pretty dim.
The first-quarter performance was dominated, of course, by unusual circumstances that we don't expect to repeat: bad weather, a large inventory adjustment, a decline in real exports, and (especially) an unexpected decline in health services expenditures. Though those factors may mean a disappointing growth performance for the year as a whole, we will likely be willing to write the first quarter off as just one of those things if we can maintain the hoped-for 3 percent pace for the balance of the year.
Do the data support a case for optimism? We have been tracking the six-month trends in four key series that we believe to be especially important for assessing the underlying momentum in the economy: consumer spending (real personal consumption expenditures, or real PCE) excluding medical services, payroll employment, manufacturing production, and real nondefense capital goods shipments excluding aircraft.
The following charts give some sense of how things are stacking up. We will save the details for those who are interested, but the idea is to place the recent performance of each series, given its average growth rate and variability since 1990, in the context of GDP growth and its variability over that same period.
What do we learn from the foregoing charts? Three out of four of these series appear to be consistent with an underlying growth rate in the range of 3 percent. Payroll employment growth, in fact, is beginning to send signals of an even stronger pace.
Unfortunately, the series that looks the weakest relates to consumer spending. If we put any stock in some pretty basic economic theory, spending by households is likely the most forward-looking of the four measures charted above. That, to us, means a cautious attitude is the still the appropriate one. Or, to quote from a higher Atlanta Fed power:
... it will likely be hard to confirm a shift to a persistent above-trend pace of GDP growth even if the second-quarter numbers look relatively good.
This experience suggests to me that we can misread the vital signs of the economy in real time. Notwithstanding the mostly positive and encouraging character of recent data, we policymakers need to be circumspect when tempted to drop the gavel and declare the case closed. In the current situation, I feel it's advisable to accrue evidence and gain perspective. It will take some time to validate an outlook that assumes above-trend growth and associated solid gains in employment and price stability.
By Dave Altig, executive vice president and research director, and
Pat Higgins, a senior economist, both in the Atlanta Fed's research department
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July 10, 2014
Introducing the Atlanta Fed's GDPNow Forecasting Model
The June 18 statement from the Federal Open Market Committee opened with this (emphasis mine):
Information received since the Federal Open Market Committee met in April indicates that growth in economic activity has rebounded in recent months.... Household spending appears to be rising moderately and business fixed investment resumed its advance, while the recovery in the housing sector remained slow. Fiscal policy is restraining economic growth, although the extent of restraint is diminishing.
I highlighted the business fixed investment (BFI) part of that passage because it contracted at an annual rate of 1.2 percent in the first quarter of 2014. Any substantial turnaround in growth in gross domestic product (GDP) from its dismal first-quarter pace would seem to require that BFI did in fact resume its advance through the second quarter.
We won't get an official read on BFI—or on real GDP growth and all of its other components—until July 30, when the U.S. Bureau of Economic Analysis (BEA) releases its advance (or first) GDP estimates for the second quarter of 2014. But that doesn't mean we are completely in the dark on what is happening in real time. We have enough data in hand to make an informed statistical guess on what that July 30 number might tell us.
The BEA's data-construction machinery for estimating GDP is laid out in considerable detail in its NIPA Handbook. Roughly 70 percent of the advance GDP release is based on source data from government agencies and other data providers that are available prior to the BEA official release. This information provides the basis for what have become known as "nowcasts" of GDP and its major subcomponents—essentially, real-time forecasts of the official numbers the BEA is likely to deliver.
Many nowcast variants are available to the public: the Wall Street Journal Economic Forecasting Survey, the Philadelphia Fed Survey of Professional Forecasters, and the CNBC Rapid Update, for example. In addition, a variety of proprietary nowcasts are available to subscribers, including Aspen Publishers' Blue Chip Publications, Macroeconomic Advisers GDP Tracking, and Moody's Analytics high-frequency model.
With this macroblog post, we introduce the Federal Reserve Bank of Atlanta's own nowcasting model, which we call GDPNow.
GDPNow will provide nowcasts of GDP and its subcomponents on a regularly updated basis. These nowcasts will be available on the pages of the Atlanta Fed's Center for Quantitative Economic Research (CQER).
A few important notes about GDPNow:
- The GDPNow model forecasts are nonjudgmental, meaning that the forecasts are taken directly from the underlying statistical model. (These are not official forecasts of either the Atlanta Fed or its president, Dennis Lockhart.)
- Because nowcasts are often based on both modeling and judgment, there is no reason to expect that GDPNow will agree with alternative forecasts. And we do not intend to present GDPNow as superior to those alternatives. Different approaches have their pluses and minuses. An advantage of our approach is that, because it is nonjudgmental, our methodology is easily replicable. But it is always wise to avoid reliance on a single model or source of information.
- GDPNow forecasts are subject to error, sometimes substantial. Internally, we've regularly produced nowcasts from the GDPNow model since introducing an earlier version of it in an October 2011 macroblog post. A real-time track record for the model nowcasts just before the BEA's advance GDP release is available on the CQER GDPNow webpage, and will be updated on a regular basis to help users make informed decisions about the use of this tool.
So, with that in hand, does it appear that BFI in fact "resumed its advance" last quarter? The table below shows the current GDPNow forecasts:
We will update the nowcast five to six times each month following the releases of certain key economic indicators listed in the frequently asked questions. Look for the next GDPNow update on July 15, with the release of the retail trade and business inventory reports.
If you want to dig deeper, the GDPNow page includes downloadable charts and tables as well as numerical details including the model's nowcasts for GDP, its subcomponents, and how the subcomponent nowcasts are built up from both the underlying source data and the model parameters. This working paper supplies the model's technical documentation. We hope economy watchers find GDPNow to be a useful addition to their information sets.
By Pat Higgins, a senior economist in the Atlanta Fed's research department
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