Searching for Higher Wages
Luis Armona, Samuel Kapon, Laura Pilossoph, Ayşegül Şahin, and Giorgio Topa
Liberty Street Economics, September 2015
Since the peak of the recession, the unemployment rate has fallen by almost 5 percentage points, and observers continue to focus on whether and when this decline will lead to robust wage growth. Typically, in the wake of such a decline, real wages grow since there is more competition for workers among potential employers. While this relationship has historically been quite informative, real wage growth more recently has not been commensurate with observed declines in the unemployment rate.
Of course, there are several other important determinants of wage growth that are missing from this useful yet simplified correlation. Typically, an individual’s earnings path is thought of through the lens of a “job ladder” model. In this framework, a worker may enter the labor market unemployed, actively searching for a suitable job. Once securing employment, she can search on the job for better employment, and can be selective about which jobs to take because she has her current job as a fallback. One of these opportunities might lead to a better quality match and thus higher wages. At this point, the search might begin again, until an even better job is found, and wages grow yet again. Hence, we can think of workers climbing a job ladder through their working lives, with each rung of the ladder leading to better quality jobs and pay gains.
If a significant portion of wage growth can be attributed to job-to-job transitions that are associated with movements up this ladder, the job-to-job transition rate would be an important indicator for wage growth. Normally, movements in the unemployment rate and in job-to-job transitions (workers moving from one job to another without going through unemployment) go hand in hand (see the pre-2000 period in the chart below). However, in recent recessions and recoveries, this link has weakened considerably (see the post-2000 period). If wage growth is driven primarily by job-to-job transitions, then perhaps recent changes in the job-to-job transition rate—rather than the unemployment rate—can do a better job of explaining the recent dynamics of real wage growth.
We use data from a special survey fielded in October 2013 as part of the New York Fed’s Survey of Consumer Expectations to shed some light on the implications of job-to-job transitions for wage growth and other job attributes. In particular, we look at current job outcomes of respondents in our survey, and are able to distinguish between workers who started their current jobs immediately after ending their previous jobs versus those who experienced a nonemployment spell between their previous and current jobs.
We find that—even when looking at similar workers—those who came into their current job through a job-to-job transition fare significantly better than those who experienced a period of nonemployment, along many dimensions.
The table below shows various (current and previous) job characteristics for these two groups of workers. We see both current and starting wages are significantly higher for those who arrived at their current jobs via job-to-job transitions than for those who experienced a spell of nonemployment. In fact, those who experienced nonemployment on average receive hourly wages similar to those on their previous job—signaling little or no wage growth. On the contrary, those who had a job-to-job transition experienced significant wage growth relative to the ending wage at their previous job.
This finding holds even after conditioning on various demographic characteristics of these workers. As shown in the chart below, which plots the log ratio of current and previous wages conditional on various observables, differences in these characteristics are not responsible for the differential changes in wages among these two groups. Certainly, we cannot rule out the possibility that these workers are of different unobservable quality. However, the ending wage at their previous job is very similar across both types of workers, as we have seen in the above table, suggesting similar unobservable worker quality across these groups. (Hours at the previous job were similar, too.)
In addition, those who experienced a nonemployment spell between two jobs have significantly shorter tenure at their current job, as we see in the table below. To the extent that lower quality job matches are likely to be of shorter tenure than higher quality matches, this further suggests that workers who made job-to-job transitions enter higher quality employment relationships. Similarly, they are significantly more likely to receive benefits at their current job. So, not only are their wages higher, but other nonpecuniary attributes of the job are also better.
Finally, those who experience a spell of nonemployment prior to their current job are much more likely to be searching again for a new job. Two in five workers coming from nonemployment are actively searching again versus 23 percent of those who did not experience a spell of nonemployment. As the chart below shows, those who search more (while employed) are significantly less satisfied with their current job. Thus, based on their current search behavior, workers who make job-to-job transitions seem to be more satisfied with their current match than those who experienced a spell of nonemployment.
In sum, the survey evidence suggests that workers who do not experience a spell of nonemployment fare better than those who do in terms of job quality. They have higher wages, are more likely to be receiving benefits, and are more satisfied with their jobs as is evident from their search behavior. All these factors are consistent with the job ladder story which attributes wage growth largely to job-to-job transitions that move workers to better quality matches. These findings support the idea that perhaps we should explore the importance of job-to-job transitions—rather than movements in the unemployment rate alone—when thinking about the recent dynamics of wage growth.
The views expressed in this post are those of the authors and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors.
Luis Armona is a senior research analyst in the Federal Reserve Bank of New York’s Research and Statistics Group.
Samuel Kapon is a former senior research analyst in the Bank’s Research and Statistics Group.
Laura Pilossoph is an economist in the Group.
Ayşegül Şahin is a vice president in the Group.
Giorgio Topa is a vice president in the Group.