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September 21, 2015
What Do U.S. Businesses Know that New Zealand Businesses Don't? A Lot (Apparently).
A recent paper presented at the Brookings Institute, picked up by the Financial Times and the Washington Post, suggests that when it comes to communicating their inflation objective, central banks have a lot of work to do. This conclusion is based primarily on two pieces of evidence.
The first piece is that when businesses in New Zealand are asked about their expectations for changes in "overall prices"—which presumably corresponds with their inflation expectation—the responses, on average, appear to be much too high relative to observed inflation trends. And the responses vary widely from business to business. According to this survey, the average firm in New Zealand expects 4 to 5 percent inflation on a year-ahead basis, and 3.5 percent inflation over the next five to 10 years. Those expectations are for the average firm. Apparently, about one in four firms in New Zealand think inflation in the year ahead will be more than 5 percent, and about one in six firms believe inflation will top 5 percent during the next five to 10 years. Certainly, these aren't the responses one would expect from businesses operating in an economy (like New Zealand) where the central bank has been targeting 2 percent inflation for the past 13 years, over which time inflation has averaged only 2.2 percent (and a mere 0.9 percent during the past four years).
But count us skeptical of this evidence. In this paper from last year, we challenge the assumption that asking firms (or households, for that matter) about expected changes in "overall prices" corresponds to an inflation prediction.
The second piece of evidence regarding the ineffectiveness of inflation targeting is more direct—the authors of this paper actually asked New Zealand businesses a few questions about the central bank and its policies, including this one:
What annual percentage rate of change in overall prices do you think the Reserve Bank of New Zealand is trying to achieve? (Answer: ______%)
The distribution of answers by New Zealand firms is shown in the chart below. According to the survey, the median New Zealand firm appears to think the central bank's inflation target is 5 percent. Indeed, more than a third of firms in New Zealand reported that they think the central bank is targeting an inflation rate greater than 5 percent. Only about 12 percent of the firms were able to correctly identify their central bank's actual inflation target of 2 percent (actually, the New Zealand inflation target is a range of between 1 and 3 percent, centered on 2 percent).
If this weren't embarrassing enough for central bankers, the study also reports that New Zealand households (like U.S. households) don't seem to know who the head of the central bank is. In fact, the authors show that there are more online searches for "puppies" than for information about macroeconomic variables.
OK, to be honest, we don't find that last result very surprising. Puppies are adorable. Central bankers? Not so much. But we were very surprised to see just how high and wide-ranging businesses in New Zealand perceived their central bank's inflation target to be. We're surprised because that bit of information doesn't fit with our understanding of U.S. firms.
In December 2011, the month before the Fed officially announced an explicit numerical target for inflation, we wanted to know whether firms had already formed an opinion about the Fed's inflation objective. So we asked a panel of Southeast businesses the following question:
What we learned was that 16 percent of the 151 firms who responded to our survey had no opinion regarding what rate of inflation the Federal Reserve was aiming for. But of the firms that had an opinion, 58 percent identified a 2 percent inflation target.
But perhaps this isn't a fair comparison to the recent survey of New Zealand businesses. In our 2011 survey, firms had only six options to choose from (including "no opinion"). It could be that our choice of options biased the responses away from high inflation values. So last week, we convened another panel of firms and asked the question in the same open-ended format given to New Zealanders:
What annual rate of inflation do you think the Federal Reserve is aiming for over the long run? (Answer: ______%)
The only material distinction between their question and ours is that we substituted the word "inflation" for the phrase "changes in overall prices." (For this special survey, we polled a national sample of firms that had never before answered one of our survey questions.) The chart below shows what we found relative to the results recently reported for New Zealand firms.
Our survey results look very similar to our results of four years ago. About one in five of the 102 firms that answered our survey was unsure about the Fed's inflation target. But almost 53 percent of the firms that responded answered 2 percent. (On average, U.S. firms judged the central bank's inflation target to be 2.2 percent, just a shade higher than our actual target.)
Furthermore, the distribution of responses to our survey was very tightly centered on 2 percent. The highest estimate of the Fed's inflation target (from only one firm) was 5 percent. So again, our results don't at all resemble what has been reported for the firms down under.
Why is there a glaring difference between what the survey of New Zealand firms found and what we're finding? Well, as noted earlier, we've got our suspicions, but we'll keep studying the issue. And in the meantime, have you seen this?
Editor's note: Learn more about inflation and the consumer price index in an ECONversations webcast featuring Atlanta Fed economist Brent Meyer.
September 04, 2015
5-Year Deflation Probability Moves Off Zero
Since 2010, our Bank has regularly posted 5-year deflation probabilities derived from prices of Treasury Inflation-Protected Securities (TIPS) on our Deflation Probabilities web page. Each deflation probability, which measures the likelihood of a decline in the Consumer Price Index over a fixed five-year window, is estimated by comparing the price of a recently issued 5-year TIPS with a 10-year TIPS issued about five years earlier. Because the 5-year TIPS has more "deflation protection" than the 10-year TIPS, the implied deflation probability rises when the 5-year TIPS becomes more valuable relative to the 10-year TIPS. (See this macroblog post for a more detailed explanation, or this appendix with the mathematical details.)
From early September 2013 to the first week of August 2015, the five-year deflation probability estimated with the most recently issued 5-year TIPS was identically 0 as the chart shows.
Of course, we should not interpret this long period of zero probability of deflation too literally. It could easily be the case that the "true" deflation probability was slightly above zero but that confounding factors—such as differences in the coupon rates, maturity dates, or liquidity of the TIPS issues—prevented the model from detecting it.
Since August 11, however, the deflation probability has had its own "liftoff" of sorts, fluctuating between 0.0 and 1.3 percent over the 16-day period ending August 26 before rising steadily to 4.1 percent on September 2. Of course, this rise off zero could be temporary, as it proved to be in the summer of 2013.
How seriously should we take this recent liftoff? We can look at options prices on Consumer Price Index inflation (inflation caps and floors) to get a full probability distribution for future inflation; see this published article by economists Yuriy Kitsul and Jonathan Wright or a nontechnical summary in this New York Times article. An alternative is simply to ask professional forecasters for their subjective probabilities of inflation falling within various ranges like "1.0 to 1.4 percent," "1.5 to 1.9 percent," and so forth. The Philly Fed's Survey of Professional Forecasters does just this, with the chart below showing probabilities of low inflation for the Consumer Price Index excluding food and energy (core CPI) from each of the August surveys since 2007.
Although the price index, and the horizon for the inflation outcome, differs from the TIPS-based deflation probability, we see that the shape of the curves is broadly similar to the one shown in the first chart. In the most recent survey, the probability that next year's core CPI inflation rate will be low was small and not particularly elevated relative to recent history. However, the deadline date for this survey was August 11, before liftoff in either the TIPS-based deflation probability or the recent volatility in global financial markets. So stay tuned.
September 01, 2015
Should I Stay or Should I Go Now?
A recent article by Jason Faberman and Alejandro Justiniano at the Chicago Fed shows that there is a strong relationship between quit rates—as a proxy for the pace of job switching—and wage growth. Movements in the quit rate and wage growth are both procyclical. A tighter (weaker) labor market implies workers are more (less) likely to find better employment matches, and employers are more (less) willing to offer higher wages to attract new workers and retain existing workers.
To get some idea of the different wage outcomes of job switching versus job staying, we can use microdata underlying the Atlanta Fed's Wage Growth Tracker from the Current Population Survey. The following chart plots the quarterly private-sector quit rate (orange line) from the Job Openings and Labor Turnover Survey using Davis, Faberman, and Haltiwanger (published in 2012 in the Journal of Monetary Economics) estimates before 2001. Also shown is the median year-over-year wage growth of private-sector wage and salary earners who switched jobs (blue line) or stayed in the same job (green line). Job stayers are approximated by the restriction that they are in the same broad industry and occupation as 12 months earlier and have been with the same employer for each of the last four months. Job switchers do not satisfy these restrictions but were employed in the current month and 12 months earlier.
The correlation between the quit rate and median wage growth is strongly positive and is slightly higher for job switchers (0.91) than for job stayers (0.88). In most periods, the median wage growth of job switchers is higher than for job stayers. This difference is consistent with the notion that job switching tends to involve moving to a better-paying job. However, during periods when the quit rate is slowing, median wage growth slows for both job stayers and switchers (reflecting the correlation between quits and wages), and the wage-growth premium from job switching tends to vanish.
Since the end of the last recession, the quit rate has been rising and a wage-growth premium for job switching has emerged again. Interestingly, during the last year, the wage growth of job stayers appears to have strengthened as well, consistent with a general tightening of the labor market.
August 21, 2015
No Wage Change?
Even when prevailing market wages are lower, businesses can find it difficult to reduce wages for their current employees. This phenomenon, often referred to as "downward nominal wage rigidity," can result in rising average wages for incumbent workers despite high unemployment levels. Some economic models predict that a period of subdued wage growth can follow, even as the labor market recovers—a kind of delayed wage-adjustment effect.
In her 2014 Jackson Hole speech, Fed Chair Janet Yellen suggested this effect may explain sluggish growth in average wages in recent years, despite significant declines in the rate of unemployment.
This macroblog post looks at evidence of wage rigidity, particularly a spike in the frequency of zero wage changes relative to wage declines. A comparison is made between hourly and weekly wages and between incumbent workers (job stayers) and those who have changed employers (job switchers).
Chart 1 shows the fractions of job stayers reporting the same or a lower hourly or weekly wage than 12 months earlier. These measures are constructed from the Current Population Survey microdata in the Atlanta Fed's Wage Growth Tracker. They include workers who are paid hourly (accounting for about 60 percent of all wage and salary earners). The measures exclude those who usually receive overtime and other supplemental pay and those with imputed or top-coded (redacted) wages. Weekly wage is defined as the hourly wage times the usual number of hours per week worked at that rate. The data are aggregated to an annual frequency (except for 2015, where the first six months of the year are covered).
Job stayers cannot be exactly identified in the data and are approximated by those who are in the same occupation and industry as they were 12 months earlier and the same job as they were in the prior month. Consistent with other studies (see, for example, the work of our colleagues at the San Francisco Fed), we find that the incidence of unchanged hourly wages among job stayers is substantial (although some of this is probably the result of rounding errors in self-reported wages). The measured share of unchanged hourly wages rose disproportionately between 2008 and 2010, and it has remained elevated since. Zero hourly wage changes (the green line in chart 1) have become almost as common as declines in hourly wages (the blue line in chart 1).
Chart 1 also suggests that weekly wages for job stayers show a pattern over time broadly similar to hourly wages. But the fraction of unchanged weekly wages (the purple line in chart 1) is lower. Each year, about 60 percent of those with no change in their hourly wage had no change in their weekly wage (or hours) either. Also, there are relatively more declines in weekly wages (the orange line in chart 1) than in hourly wages—mostly the result of reduced hours worked. On average, a reduction in weekly wages is associated with a four-hour decline in hours worked per week. About 90 percent of those with lower hourly wages also had lower weekly wages, and 20 percent of those with no change in their hourly wage had a lower weekly wage (working fewer hours).
If job stayers show a relatively high incidence of no wage change, we might expect a different story for job switchers, since they are establishing a new wage contract with a new employer. Chart 2 shows the fraction of job switchers reporting the same or a lower hourly or weekly wage than 12 months earlier. Job switchers are approximated by workers who are in a different industry than a year earlier.
Not surprisingly, a smaller share of workers experience no change in their hourly or weekly wage when switching jobs. But the pattern of zero wage change for job switchers over time is generally similar to that of job stayers. It is also true that a decline in hourly and weekly wages is more likely for job switchers than for job stayers, with a significant temporary spike in the relative frequency of wage declines for job switchers during the last recession.
Taken at face value, this analysis suggests the presence of some amount of wage rigidity. Also, rigidity increases during recessions and has remained quite elevated since the end of the last recession—especially for job stayers. The question then becomes whether this phenomenon has important macroeconomic consequences. A prediction of most models in which wage stickiness has allocative effects is that it causes firms to increase layoffs when faced with a decline in aggregate demand. Interestingly, during the last recession—when wage stickiness appears to have increased substantially—the rate of layoffs was not unusually high relative to earlier recessions. What was atypical was the size of the decline in the rate of job creation, and this decline contributed to unusually long unemployment spells. As noted by Elsby, Shin, and Solon (2014), it is not clear that an increase in wage rigidity would constrain the hiring of new workers more than it constrains the retention of existing workers.
On the other hand, persistently high wage rigidity in the wake of the Great Recession is consistent with the relatively sluggish pace of wage increases seen in most measures of aggregate wage growth via the "bending" of the short-run Phillips curve (as described by Daly and Hobijn (2014)). Interestingly, the Atlanta Fed's Wage Growth Tracker is an exception. It has indicated somewhat stronger wage growth during the last year than other measures. It will be interesting to see if that trend continues in coming months.
July 17, 2015
Getting to the Core of Goods and Services Prices
In yesterday's macroblog post, I highlighted an aspect of a recent Wall Street Journal article that concerns how households perceive inflation. Today, I'm going back to the same well to comment on another aspect of that story, which correctly notes that service-sector prices are rising at a faster clip than the price of goods.
Of course, this isn't just a recent event. Core services prices have outpaced core goods prices over the past 50 years, save a few short-lived deviations. What's unusual about the current recovery, as the chart below shows, is how low services inflation has been.
In the nearly six years since the end of the 2007–09 recession, core services prices have risen at an annualized pace of 2.1 percent, a full percentage point below their average during the last expansion. Conversely, the annualized growth rate in core goods prices during the recovery has been 0.5 percent, compared to a decline of 0.6 percent during the last expansion (see the chart below).
To see how broad-based the slowdown across core services prices has been relative to that of core goods prices, let's take a deeper dive into the components. The chart below compares the difference between a particular component's annualized growth rate during the current expansion and its growth rate during the previous expansion. A negative number here means that a component's price is growing more slowly now than it did prior to the recession.
It's evident that the slowdown in core services prices is fairly broad-based (17 of 22 components are exhibiting disinflation relative to their growth rate over the previous expansion). For core goods components, that number is just five of 15 components. So, if we accept the premise of the WSJ article—that trends in services prices more closely reflect "unused domestic capacity"—then it's possible we could be farther away than we think.
July 16, 2015
Different Strokes for Different Folks
A recent Wall Street Journal article offered an interesting conjecture. The author stated,"[b]ecause consumers pay service bills more often than they buy most goods other than food and gasoline, perceptions of inflation skew on the high side."
Research supports the idea that inflation perceptions are unusually influenced by particular prices. For example, some authors have noted that inflation expectations appear to be unusually influenced by movements in gasoline prices.
This research by Georganas, Healy, and Li shows that inflation perceptions are affected by how frequently people buy a particular good—so that nondurable goods prices like gasoline affect inflation perceptions more than durable goods.
And recent work by Johannsen at the Federal Reserve Board shows that demographic groups who have a more disperse set of inflation experiences also tend to hold more disperse inflation expectations. One thing I think we can say is that different demographic groups appear to have different inflation experiences, as this research by Hobjin, Mayer, Stennis, and Topa indicates.For example, let's take a look at the difference between the inflation experiences of two households. The first is a single older female (over 55 years of age) who rents her home and has a relatively low income (less than $30,000 a year). The second is a young couple (younger than 35 years old) who own their home and have a high income (over $70,000 annually). Both households have high school educations. Recently, the difference between the inflation experiences of these two demographic groups has opened up to a sizable 2.0 percentage points (see the chart). Why?
Well, the spending habits of these two groups contain a few striking differences. For example, the older female spends a lot more of her household income on food at home, rent, and medical care than the young couple does (see the table). Also, the young couple appears to spend a larger fraction of their income on transportation (a large portion of which is gasoline).
Comparison of myCPI Weights
Average of the previous five years (through December 2014)
A young couple, homeowner, high income, high school education
Older female, renter, low income, high school education
Food at home
Food away from home
Household furnishings and equipment
Note: "Other" includes personal care, alcohol, tobacco, reading, and miscellaneous goods and services
What's the inflation experience for someone in your particular demographic group? Let's find out. We've developed a tool called myCPI. It allows users to track a measure of the cost of living that captures some of the variation that occurs between demographic groups. In less than a minute, you can answer a few questions about your demographic category, and we'll show you the cost-of-living trends for "your" group. And if you want, we'll send you updates of your demographic group's inflation with every consumer price index (CPI) report.
Why not get your myCPI report? And when tomorrow's CPI report is released, we'll send you a note telling your how your group's cost-of-living adjustment compares to the average urban consumer in the headline CPI.
July 15, 2015
Have Changing Job and Worker Characteristics Restrained Wage Growth?
In the wake of the Great Recession, nominal wage growth has been subdued. But it is unclear how much of this relatively low wage growth reflects protracted weakness in the labor market versus other factors, such as changes in the composition of the workforce and jobs over time. Wage growth tends to vary across personal and job characteristics, so it stands to reason that changes in the composition of the workforce, alongside demographic and work characteristics, could be an important explanation of overall movements in wage growth.
In this post, we explore the impact of the changing mixture of worker characteristics (by age and education) and types of jobs (by industry and occupation) on the Atlanta's Fed Wage Growth Tracker. We find that composition effects do not account for the low median wage growth experienced in recent years. Holding worker and job characteristics fixed at their 1997 shares raises the median wage growth in 2014 by only about 0.2 percentage point. Our results are consistent with the analysis in a previous macroblog post, which found that changing industry-employment shares could not explain much of the sluggish growth in the average hourly earnings data from the payroll survey.
Median wage growth, composition change by worker characteristics
In terms of demographics, we consider two features: a worker's age and education. As shown in this earlier macroblog post, younger workers tend to experience higher median wage growth than do older workers. Although older workers tend to be paid more based on experience, they are also more likely to be near the top of the wage distribution for their job, so the median older worker experiences less wage growth. The difference is quite large. In 2014, the median wage growth of workers over age 54 was around 1.2 percentage points lower than the overall median.
A person's education can also affect his or her wage growth. Workers with a high school diploma or less tend to have lower median wage growth. In 2014, the median wage growth of less-educated workers was about 0.1 percentage point lower than the overall median, reflecting that these workers are more likely to be earning minimum wage, which does not change very frequently.
In addition, the employment shares by age and education have changed over time. The proportion of workers in the Atlanta Fed's Wage Growth Tracker data who are over age 54 has more than doubled from 12 percent in 1997 to 25 percent in 2014. During the same period, the share of workers without a college degree has declined from 63 percent to 49 percent (see the charts).
Wage growth, composition change by job characteristics
In terms of job characteristics, we consider two features: the worker's industry (where they work) and their occupation (what they do). Before 2011, workers in service-producing industries experienced slightly higher (about 0.1 percentage point) median wage growth than all workers. But since then, the trends have flipped. In recent years, median wage growth of individuals working in service-producing industries has been slightly below the median wage growth of all workers.
Nonetheless, workers in professional occupations such as managerial, legal, scientific, and engineering jobs tend to experience relatively higher median wage growth. In 2014, the median wage growth of workers in these professional jobs was 0.2 percentage point higher than the median wage growth for all workers.
The share of workers in service-producing industries and in professional jobs has increased moderately over time. In 1997, 77 percent of workers in the data were employed in service-producing industries. In 2014, the share had increased to 82 percent. During the same period, the share of workers in professional occupations rose from 36 percent to 41 percent.
Composition effects on median wage growth
Individually, an aging workforce is putting downward pressure on wage growth, whereas rising education levels are adding upward pressure. The rising share of workers in professional occupations is also pushing wages up somewhat, although the impact of the rising share of workers in service-producing industries is ambiguous. But how large are these effects when combined?
To get an idea, we conducted two counterfactual experiments. First, we held fixed the age and education distributions at their 1997 levels (the first year in our Wage Growth Tracker data). Second, we held fixed the age, education, industry, and occupation characteristics at their 1997 levels. We used three age groups (16–24, 25–54, and 55-plus years of age), two education groups (college degree and no college degree), two industry groups (service- or goods-producing industries), and two occupation groups (professional and other occupations).
The blue line in the next chart is the median wage growth over time with no adjustments for changes in composition. For example, for 2014, the chart shows median wage growth of workers in the data set with earnings in January 2014 and January 2013, February 2014 and February 2013, etc. This depiction is the Atlanta Fed Wage Growth Tracker, but at an annual frequency. The other two lines show the results of the experiment: demographically adjusted (green) and both demographically and job adjusted (orange).
These experiments suggest that—for our data set, at least—the impact on the median of the wage growth distribution from shifts in the composition of the workforce and jobs over time has increased in recent years, but the impact is not especially large. For example, the unadjusted median wage growth for 2014 is 2.5 percent. Holding fixed all four characteristics at their 1997 levels would have raised this by only 0.2 percentage point. Shifting worker and job characteristics are not a primary explanation of low median wage growth since 2009.
July 01, 2015
Far Away Yet Close to Home: Discussing the Global Economy's Effects
In case you needed any motivation to take interest in the outcome of ongoing negotiations between the Greek government and its international creditors, this excerpt from the Wall Street Journal ought to do it:
Global growth is really important. We are all connected through the financial markets, through foreign-exchange markets," Fed governor Jerome Powell said last week in an interview with The Wall Street Journal. "If global growth weakens, or remains weak, and we get into a trend of that, then yes, that will be a big headwind for the United States economy."
Last week, I participated in the latest edition of our webcast, ECONversations, devoted to the theme "what to make of the first quarter?" (The webcast can be found here). The conversation revolved around the Atlanta Fed staff's view of why 2015 began with such a whimper and ideas on prospects for improvement through the balance of the year.
Not surprisingly, the international context loomed large. Between June 2014 and March 2015, the U.S. dollar appreciated by about 14 percent against a broad basket of currencies, and by about 20 percent against major currencies. The dollar has roughly remained in those neighborhoods since. As to the gross domestic product (GDP) side of the story, arithmetically net exports subtracted almost 2 percentage points off first quarter growth.
A key assumption of our current outlook is that the international environment (including the exchange rate) will stabilize, and smoother sailing without the "big headwind" referenced by Governor Powell is ahead.
That assumption generated some discussion (in the Q&A part of the webcast, and via online questions). With some paraphrasing, here are a few of the comments and questions we received, and my best attempt to respond:
Q: You associate the prior appreciation in the dollar with a several percentage point subtraction from growth in the first quarter. This seems quite large in context of available research on the elasticity of the trade balance to movements in the foreign exchange value of the dollar.
A: In the webcast, I did loosely refer to the trade effect on first quarter GDP as a "dollar effect." But the questioner—Barclay's head of U.S. economics research, Michael Gapen— is completely correct in asserting that standard estimates wouldn't support exchange-rate appreciation as an all-encompassing explanation for the big first quarter trade deficit. Our own estimates imply that four quarters after an exchange rate shock that raises the real broad-dollar index by 10 percentage points, real GDP is about one-half a percentage point lower than it would have been without the shock. This impact is roughly the same as most standard estimates (including Barclay's).
Some analyses might imply a larger GDP impact for the pure dollar effect, but any reasonable estimate would leave a fair amount of the first quarter net export decline unexplained. In any event, exchange-rate movements are both cause and effect, which brings us to:
Q: I have a question regarding the impact of the U.S. dollar (USD) in the economy. We often learn that changes in the real exchange rate affect the economy with a lag. Take Japan, for instance. It had a substantial depreciation in Japanese yen (JPY) real exchange rate but with very minimal impact on Japan's trade performance so far. What makes you so confident that the strong USD has had a strong impact in the U.S. economy in such a short period of time? Wouldn't the negative contribution from net exports more likely be linked to delays in West Coast ports and the sharp slowdown in Asian economies (China, in particular)?
A: Yes, in our analysis (and most we know of), the effects of exchange rates occur with a lag. And, as noted above, only a fraction of the decline in net exports by the end of 2014 and into the beginning of this year can be plausibly attributed to dollar appreciation. But we do think those effects are there, and they are continuing (to a lesser extent) in the current quarter.
Of course, changes in the value of the currency are an effect of other developments as well as a cause of changes in exports, GDP, and the like. All else is not typically equal, which often makes simple correlations (or, in the Japanese case, the lack thereof) difficult to interpret.
One of those "not equal" things could well have been the port delays. We don't have a firm estimate of how the backlogs might have affected the first quarter GDP statistic. If the impact was indeed material, we should see some reversal in the second and third quarters now that things are apparently getting back to normal. We'll count that as an upside risk.
And looking forward?
Q: Shouldn't the economic crisis in Greece dampen the demand for American exports and decrease growth well into the fourth quarter?
A: The good news is that current forecasts suggest 2015 euro-area growth will exceed its 2014 pace (according to the World Bank). In fact, the 2015 forecast strengthened over the course of this year despite the ongoing uncertainty associated with the Greek crisis. By most accounts, Canadian economic activity this year is expected to follow a trajectory similar to the United States (in like a lamb, out like something less lambish).
Mexico, as well, is expected to show more growth this year than last, despite some softening of the outlook since the beginning of the year. Put those three together (expanding the euro area to the entire European Union), and you have the anticipation of some improvement in countries accounting for somewhere in the neighborhood of 55 percent of our export markets.
The bad news is the ongoing uncertainty associated with the Greek crisis. Further, the outlook in emerging economies is growing more downbeat. These realities—a continuing impact of prior dollar appreciation and the fact that better foreign growth still does not equate to great growth—has us reluctant to think that net exports will be a big positive number in this year's GDP calculations. That reluctance notwithstanding, for now we are writing in a smaller trade deficit over the course of the year than what we saw in the first quarter.
If you want to go into the July 4 holiday on a somewhat optimistic note, I'll note that our GDPNow estimates for the second quarter have strengthened substantially with the arrival of more recent data—notably including signals of a much lower trade deficit effect than in the first quarter and today's positive news on manufacturing and nonresidential construction. Those data may not be enough to generate full confidence in our forecast for a much better second half of 2015, but they are moving in the right direction.
June 29, 2015
New Atlanta Fed Series Shows Wage Growth Held Steady in May
According to the Atlanta Fed's Wage Growth Tracker, a new series constructed using data from the Current Population Survey, the median increase in wages for individuals working in May 2014 and May 2015 was 3.3 percent (reported as a three-month average).
Wage growth by this measure was essentially unchanged from April and 1 percentage point higher than the year-ago reading. The current pace of nominal hourly wage growth is similar to that seen during the labor market recovery of 2003–04 and about a percentage point below the pace experienced during 2006–07, which was the peak of the last business cycle. You can download the data going back to March 1997 from our website by clicking "export," shown in the upper right of the chart below.
Wage growth differs by job and worker characteristics. For prime-age individuals and full-time employees, for example, the Wage Growth Tracker recorded slightly higher readings than the group overall. The median wage growth of these individuals was 3.5 percent compared to 3.3 percent for all individuals. To see more cuts of the data, check out our website.
June 23, 2015
Approaching the Promised Land? Yes and No
Last Friday, we released our June installment of the Business Inflation Expectations (BIE) survey. Among the questions we put to our panel of businesses was a quarterly question on slack, asking firms to consider how their current sales levels compare to what they would consider normal.
The good news is, on average, the gap between firms' current unit sales levels and what they would consider normal sales levels continues to close (see the chart).
By our measure, firm sales, in the aggregate, are 1.9 percentage points below normal, a bit better than when we polled them in March (when they were 2.1 percent below normal) and much improved from this time last year (3.7 percent below normal). For comparison, the Congressional Budget Office's (CBO) estimate of slack on a real gross domestic product (GDP) basis was 2.6 percent in the first quarter (though this estimate will almost certainly be revised to something closer to 2.4 percent when the revised GDP estimates are reported later today). And if GDP growth this quarter comes in around 2.5 percent as economists generally expect, the CBO's GDP-based slack estimate will be 2.2 percent this quarter, just a shade larger than what our June survey data are saying.
Now, as we have emphasized frequently (for example, in macroblog posts in May 2015, February 2015, and June 2013), performance in the aggregate and performance within select firm groups can differ widely. For example, while small firms continue to have greater slack than larger firms, their pace of improvement has been much more rapid (see the table).
Likewise, some industries (such as transportation and finance) see current sales as better than normal. But others, like manufacturers, are currently reporting considerable slack—and findings from this group appear to show a marginal worsening in sales levels over the past 12 months.
Another item that caught our attention this month was the differing pace of narrowing in the sales gap among those firms with significant export exposure (greater than 20 percent of sales) relative to those with no direct export exposure. We connected these dots using responses to this month's special question, in which responding firms specified their share of customers by geographic area: local, regional (the Southeast, in our case), national, and international (see the table).
So things are still getting better for the economy overall, and the small firms in our panel have displayed particularly rapid improvement during the last year. But if you've got exposure to the "soft" export markets, as mentioned in the June 17 FOMC statement, you've likely experienced a slower pace of improvement.
- A Closer Look at Changes in the Labor Market
- Should We Be Concerned about Declines in Labor Force Growth?
- Labor Report Silver Lining? ZPOP Ratio Continued to Rise in September
- The ZPOP Ratio: A Simple Take on a Complicated Labor Market
- What Do U.S. Businesses Know that New Zealand Businesses Don't? A Lot (Apparently).
- 5-Year Deflation Probability Moves Off Zero
- Should I Stay or Should I Go Now?
- No Wage Change?
- Getting to the Core of Goods and Services Prices
- Different Strokes for Different Folks
- November 2015
- October 2015
- September 2015
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