The Atlanta Fed's macroblog provides commentary and analysis on economic topics including monetary policy, macroeconomic developments, inflation, labor economics, and financial issues.
- BLS Handbook of Methods
- Bureau of Economic Analysis
- Bureau of Labor Statistics
- Congressional Budget Office
- Economic Data - FRED® II, St. Louis Fed
- Office of Management and Budget
- Statistics: Releases and Historical Data, Board of Governors
- U.S. Census Bureau Economic Programs
- White House Economic Statistics Briefing Room
October 05, 2015
Labor Report Silver Lining? ZPOP Ratio Continued to Rise in September
We have received several requests for an update of our ZPOP ratio statistic to incorporate September's data. We have also been asked whether the ZPOP ratio can be constructed from labor force data from the U.S. Bureau of Labor Statistics (BLS).
The ZPOP ratio is an estimate of the share of the civilian population aged 16 years and over whose labor market status is what they say they currently want (assuming that people who work full-time want to do so). A rising ZPOP ratio is consistent with a strengthening labor market. We constructed the ZPOP ratio from the microdata in the BLS's Current Population Survey, but we can also construct a very close approximation from the BLS's Labor Force Statistics data. Here's how (using data that are not seasonally adjusted):
- Take total employment, and add those not in the labor force who do not currently want a job. Then subtract those who were at work from one to 34 hours for economic reasons. The ZPOP ratio is this figure as a percentage of the civilian population 16 years and over.
The following chart shows the history of the resulting ZPOP ratio over 20 years, seasonally adjusted.
Unlike the headline U-3 unemployment rate, which remained unchanged from August to September, the seasonally adjusted ZPOP ratio improved slightly (from 92.0 to 92.1 percent). Relative to an estimated 230,000 increase in the population over the month, the improvement in the ZPOP ratio was the result of an increase in the number of people who said they do not currently want a job and a decline in involuntary part-time employment in excess of the decline in total employment.
Finally, the chart below shows the performance of the seasonally adjusted ZPOP ratio relative to the comparable employment-to-population (EPOP ratio) and the EPOP ratio for those aged 25–54. The relatively greater recovery in the ZPOP ratio since 2009 is primarily because the EPOP ratios do not adjust for the share of the population who say they do not currently want a job.
September 22, 2015
The ZPOP Ratio: A Simple Take on a Complicated Labor Market
In her press conference following the latest FOMC meeting, Federal Open Market Committee (FOMC) Chair Janet Yellen emphasized that she still sees cyclical weakness in the labor market, even as the headline unemployment rate has moved close to FOMC participants' median estimate of its longer-run normal level.
She also noted that FOMC participants look at many different indicators of labor utilization, because the headline unemployment rate (commonly known as the U-3 rate) is overstating the health of the labor market. One alternative measure that has received some attention is the employment-to-population (EPOP) ratio. However, a well-recognized problem with the EPOP ratio is that because it defines utilization as employment, trends in demographic and behavioral labor force participation can affect it.
This problem is partially addressed by looking at the EPOP ratio for the prime-age population, or by making adjustments for demographic changes as suggested by Kapon and Tracy at the New York Fed and further analyzed by our Atlanta Fed colleague Pat Higgins. Here, we propose an alternative approach that uses a broader definition of utilization that makes it less affected by labor supply trends.
The Current Population Survey does not ask the question "are your labor services being fully utilized?" Therefore, we have to use our judgment to classify someone as fully utilized. The figure below shows the choices we make. We assume that everyone who says they are working fewer hours than they want is underutilized (the red boxes). This includes those in the labor force but unemployed, those not in the labor force but wanting a job, and those working part-time but wanting full-time hours (similar to the treatment of underutilization in the broad U-6 unemployment rate measure).
Everyone working full-time, working part-time for a noneconomic reason, and those who say they don't want a job are considered fully utilized (the green boxes). Of course, this takes the "don't want a job" classification at face value. For example, someone who is retired is counted as fully utilized, irrespective of the (unknown) reason they chose to retire.
As shown in the Chart 1 below, the share of the population 16 years or older that is fully utilized—what we call the utilization-to-population (ZPOP) ratio—is currently about 1.5 percentage points below its prerecession level, after having fallen by 6 percentage points during the recession.
Notice that because the ZPOP ratio treats those who are not employed and don't want a job as fully utilized, it is less affected by demographic and behavioral trends in labor force participation than the EPOP ratio. (You can learn more on our website about how demographic and behavioral trends are affecting labor force participation.) When compared with the EPOP ratio, the ZPOP ratio paints a somewhat rosier picture of labor market conditions (see chart 2).
In sum, the utilization-to-population (ZPOP) ratio is the share of the working-age population that is working full time, is voluntarily working part-time, or doesn't want to work any hours. According to this measure, about 91 percent of the working-age population is considered fully utilized. The remaining 9 percent are "underutilized" and are a roughly even mixture of the unemployed, those not in the labor force but wanting to work, and those working part-time but wanting full-time hours.
The headline U-3 unemployment rate is very close to its prerecession level but is thought to overstate the health of the labor market. At the same time, we think that the EPOP ratio overstates the amount of remaining labor market slack. The ZPOP ratio is in the middle; approaching its prerecession level but still with some way to go.
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 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.
June 19, 2015
Will the Elevated Share of Part-Time Workers Last?
There seems to be mounting evidence that at least part of the elevated share of part-time employment in the economy is here to stay. We have some insights to offer based on a recent survey of our business contacts.
Why are we interested? A higher part-time share of employment isn't necessarily a bad thing, if people are doing so voluntarily. Unfortunately, the elevated share is concentrated among people who would prefer to be working full-time. Using the average rate of decline over the past five years, the part-time for economic reasons (PTER) share of employment is projected to reach its prerecession average in about 10 years.
This is significantly slower than the decline in the unemployment rate, whose trajectory suggests a much sooner arrival—in around a year. The deviation raises an important policy question for measuring the amount of slack there is beyond what the unemployment rate suggests, and ultimately the extent to which policy can effectively reduce it.
What are the drivers? Data versus anecdotes
Researchers (here, here, and here) have pointed to factors such as industry shifts in the economy, changing workforce demographics, rising health care costs, and the Affordable Care Act as potentially important drivers of this shift. But we can glean only so much information from data. When a gap develops, we generally turn to our business contacts who are participating members in our Regional Economic Information Network (REIN) to fill in the missing information.
According to our contacts, the relative cost of full-time employees remains the most important reason for having a higher share of part-time employees than before the recession, which is the same response we received in last summer's survey on the same topic. Lack of strong enough sales growth to justify conversion of part-time to full-time workers came in as a close second.
The importance rating for each of the factors was notably similar to last year's survey, with one exception. Technology was rated as somewhat important, reflecting an uptick from the average response we received last year. We've certainly heard anecdotally that scheduling software has enabled firms to better manage their part-time staff, and it seems that this factor has gained in importance over the past year.
The chart below summarizes the reasons our business contacts gave in the July 2014 and the May 2015 surveys. The question was asked only of those who currently have a higher share of part-time workers than they did before the recession. The chart shows the results for all respondents, whether they responded to one or both surveys. When we limited our analysis to only those who responded to both surveys, the results were the same.
Will the elevated share persist?
The results suggest that a return to prerecession levels is unlikely to occur in the near term.
The chart below shows employers' predictions for part-time employment at their firms, relative to before the recession. About 27 percent of respondents believe that in two years, their firms will be more reliant on part-time work compared to before the recession. About 7 percent do not currently have an elevated share of part-time employees but believe they will in two years. About two-thirds believe their share of part-time will be roughly the same as before, while only 8 percent believe they will have less reliance on part-time workers compared to before the recession.
The majority of our contacts believe their share of part-time employment will normalize over the next two years, but some believe it will stay elevated. Still, 2017 does not mean the shift will be permanent. In fact, firms cited a balance of cyclical and structural factors for the higher reliance on part-time. Low sales growth and an ample supply of workers willing to take part-time jobs could both be viewed as cyclical factors that will dissipate as the economy further improves.
Meanwhile, higher compensation costs of full-time relative to part-time employees and the role of technology that enables companies to more easily manage their workforce can be considered structural factors influencing the behavior of firms. Firms that currently have a higher share of part-time employees gave about equal weight to these forces, suggesting that, as other research has found, both cyclical and structural factors are important explanations for the slow decline in the part-time share of employment.
June 05, 2015
Atlanta Fed's Wage Growth Measure Increased Again in April
A measure of 12-month wage growth constructed here at the Atlanta Fed increased by 3.3 percent in April. This rate is up from 3.1 percent in March and at its highest level since March 2009 (see the chart).
As mentioned in an earlier macroblog post, this measure behaves broadly like the wage and salary component of the Employment Cost index (ECI). The ECI data pertain to the last month in the quarter and are published with about a four-week lag. In contrast, the Atlanta Fed measure uses individuals' hourly wage data, 12 months apart, from the Current Population Survey (CPS). The data come from publicly available CPS microdata produced by the U.S. Bureau of Labor Statistics (BLS) and are typically released two or three weeks after the monthly BLS labor report.
Timeliness is one thing, but is it useful? It turns out there is a relatively strong correlation between this wage growth measure and the employment rate (100 minus the unemployment rate) lagged by 12 months (see the chart).
At least in terms of this measure of wage growth, it seems that improvement in labor utilization is translating into rising wage growth. This development is something our boss, Atlanta Fed President Dennis Lockhart, has been looking for. We expect to be able to update this wage growth measure with the May CPS data in a few weeks.
May 01, 2015
Signs of Strengthening Wage Growth?
The average hourly earnings measure for the private sector, reported in the U.S. Bureau of Labor Statistics's Establishment Survey, increased by a meager 2.1 percent in the first quarter (year over year). This increase was barely above the 2.0 percent pace observed in the fourth quarter of last year. However, Thursday's Employment Cost Index report showed a more sizable uptick in the wage and salary growth picture. Year-over-year growth in the first quarter was 2.5 percent, up from 2.1 percent in the fourth quarter of 2014. Another wage measure that we discussed in a February macroblog post also moved notably higher in the first quarter. That measure, which is derived from earnings data in the Current Population Survey, increased from 2.8 percent in the fourth quarter of 2014 to 3.2 percent in the first quarter of this year (see the chart).
This Wall Street Journal article (subscription required) also notes that anecdotal signs suggest a turnaround in wage growth, especially among lower-wage occupations. Overall, we take the evidence to suggest some emerging momentum in wage growth. Rising wage growth is an encouraging sign and is consistent with a tightening labor market.
March 06, 2015
Signs of Improvement in Prime-Age Labor Force Participation
This morning's job report provided further evidence of a stabilizing labor force participation (LFP) rate. After falling over 3 percentage points since 2008, LFP has been close to 62.9 percent of the population for the past seven months. Although demographics and behavioral trends explain much of the overall decline (our web page on LFP dynamics gives a full account), there is a cyclical component at work as well. In particular, the labor force attachment of "prime-age" (25 to 54 year olds) individuals to the labor force is something we're watching closely. Federal Reserve Bank of Atlanta President Dennis Lockhart noted as much in a February 6 speech:
Over the last few years, there has been a worrisome outflow of prime-age workers—especially men—from the labor force. I believe some of these people will be enticed back into formal work arrangements if the economy improves further.
There are signs that some of the prime-age individuals who had retreated to the margins of the labor market have been flowing back into the formal labor market.For one thing, LFP among prime-age individuals stopped declining 16 months ago for women and nine months ago for men. By our estimates, declining LFP in this age category accounts for about one-third of the overall decline in LFP since 2007, so 25- to 54-year-olds' decision to engage in the labor market has a big effect on the overall rate (see the chart). Even with an improving economy, however, a turnaround in LFP among prime-age individuals might not occur.
The reason an improving economy might not reverse the LFP trends is that LFP for both prime-age men and women had been on a longer-term downward trend even before the recession began, suggesting that factors other than the recession-induced decline in labor demand have been important. But the decline in the "shadow labor force"—the share of the prime-age population who say they want a job but are not technically counted as unemployed—demonstrates the cyclical nature of the labor market. For the last year and half, the share of these individuals in the labor force has been generally declining (see the chart).
Moreover, the job-finding success of the shadow labor force has improved. Although the 12-month flow into the official labor force has remained reasonably close to 50 percent, the likelihood of flowing into unemployment (as opposed to employment) rose during the recession. But during the past two years, that trend appears to be reversing (see the chart).
The ability of the prime-age shadow labor force to find work is improving at the same time that the LFP rate of the prime-age population is stabilizing. Taken together, this trend is consistent with improving job market opportunities and further absorption of the nation's slack labor resources.For a more complete analysis of long-term behavioral and demographic effects on LFP for the prime-age and non-prime-age populations, see our Labor Force Participation Dynamics web page, which now includes 2014 data.
TrackBack URL for this entry:
Listed below are links to blogs that reference Signs of Improvement in Prime-Age Labor Force Participation:
February 26, 2015
Are Shifts in Industry Composition Holding Back Wage Growth?
The last payroll employment report from the U.S. Bureau of Labor Statistics (BLS) included some relatively good news on wages. Private average hourly earnings rose an estimated 12 cents in January, the largest increase since June 2007. Even so, earnings were up only 2.2 percent over the last year versus average growth of 3.4 percent in 2007.
What accounts for the sluggish growth in average earnings? The average hourly earnings data for all workers is essentially the sum of the average earnings per hour within an industry weighted by that industry's share of employment. In this piece, Ed Lazear argues that a shift of the U.S. economy away from some high-paying industries to lower-paying industries may have contributed to dampened wage growth. Lazear specifically calls out the reduced share of employment in the relatively high-paying finance industry, at hospitals, and in the information sector as potential culprits. A shift in employment away from relatively high-wage jobs will put downward pressure on the growth in average wages.
To get some idea of the effect of industry composition on wages, I took the 2014 calendar year average wage for each industry group at the two-digit NAICS level and multiplied it by the share of employment in that industry in 2014 (admittedly, two-digit NAICS level of disaggregation is very coarse and masks a lot of potential shifts in job-types within industries). Summing across the industries gives an estimate of total average private hourly earnings in 2014. I then repeated the exercise, but using the 2007 industry shares of employment instead (see the chart).
Would average wages have been higher if we had the same mix of employment across industries as we had before the recession? The answer seems to be yes, but not much higher. If nothing had changed in the economy's industry employment mix since 2007, then average wages would have been about 12 cents higher.
This translates into a 16.8 percent increase in nominal wages between 2007 and 2014 versus a 16.2 percent increase if the actual industry employment shares where used, because the decline in the shares of employment in the relatively high paying industries Lazear cites has not been very large, and some higher-paying industries have seen growth. Moreover, some industries with below-average wages, such as retail trade, have experienced a decline in their share of employment as well.
TrackBack URL for this entry:
Listed below are links to blogs that reference Are Shifts in Industry Composition Holding Back Wage Growth?:
- Does Lower Pay Mean Smaller Raises?
- Outside Looking In: Why Has Labor Force Participation Increased?
- Wages Climb Higher, Faster
- Is There a Gender Wage Growth Gap?
- The Price Isn't Right: On GDPNow's Third Quarter Miss
- Is Wage Growth Accelerating?
- Unemployment Risk and Unions
- Cumulative U.S. Trade Deficits Resulting in Net Profits for the U.S. (and Net Losses for China)
- The Slump in Undocumented Immigration to the United States
- A Quick Pay Check: Wage Growth of Full-Time and Part-Time Workers
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- Business Cycles
- Business Inflation Expectations
- Capital and Investment
- Capital Markets
- Data Releases
- Economic conditions
- Economic Growth and Development
- Exchange Rates and the Dollar
- Fed Funds Futures
- Federal Debt and Deficits
- Federal Reserve and Monetary Policy
- Financial System
- Fiscal Policy
- Health Care
- Inflation Expectations
- Interest Rates
- Labor Markets
- Latin America/South America
- Monetary Policy
- Money Markets
- Real Estate
- Saving, Capital, and Investment
- Small Business
- Social Security
- This, That, and the Other
- Trade Deficit
- Wage Growth