The Trend is the Cycle
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Title : The Trend is the Cycle
link : The Trend is the Cycle
Title : The Trend is the Cycle
link : The Trend is the Cycle
Nir Jaimovich (Duke University) and Henry Siu (University of British Columbia) appear to have made a very interesting discovery. Evidently, there appears to be a very strong link between two much talked about phenomena: job polarization and jobless recoveries. Their paper is available here: The Trend is the Cycle: Job Polarization and Jobless Recoveries.
Job Polarization
Job polarization refers to the recent disappearance of employment in occupations in the middle of the skill distribution. To display this phenomenon, the authors decompose employment into occupational groups and then delineate occupations across two dimensions: cognitive vs. manual, and routine vs. non-routine. (These labels are largely self-explanatory, but refer to the paper for details.)
Evidently, these classifications correspond to rankings in the occupational income distribution. Non-routine cognitive occupations tend to be high-skill jobs, and non-routine manual occupations tend to be low-skill jobs. Routine occupations--both cognitive and non-cognitive--tend to be middle-skill occupations. Here is what has been happening to employment shares across these categories:
 |
| Percent Change in Employment Shares by Occupation Group |
The figure above shows that across three decades, the share of employment in the middle of the skill distribution appears to be disappearing. Prime suspect: routine biased technological change (e.g., think of ATMs replacing bank tellers).
Jobless Recoveries
Jobless recoveries refer to the unusually slow rebound in the employment dynamic following the end of a recession (when GDP is growing). Here is the typical pattern one would have observed 30 years ago (and before):
The x-axis is centered at "0," which represents the trough of the recession (using NBER dating). The data is plotted for 2 years around the trough date. The shaded region represents peak-to-trough. The y-axis plots the percent change in employment relative to its value in the trough. The figure above shows the rapid recovery in employment following the trough of the recession.
The dynamic above is to be contrasted with what has happened in the previous 3 recessions (early 90s, early 00s, and most recent). Here is what the picture looks like following the most recent recession:
Yes, but what's the link?
So far, this all very interesting, but not very new. What is new is how the authors link the two phenomena.
The following diagram depicts the same employment dynamic, except with employment decomposed along three dimensions: [1] non-routine cognitive, [2] routine, and [3] non-routine manual (same as the polarization graph above). Here is what we see for the 1982 recession:
In this episode, the recovery in employment was strong across all occupation groups. In fact, the non-routine occupations appear to have grown throughout the recession! The key is the strong recovery in the non-routine class of occupations. Roughly the same pattern is evident in the 1970 and 1975 recession as well.
But now let's take a look at the more recent employment dynamic:
Here, we see hardly any movement at all in the non-routine occupations, but a significant and persistent decline in routine occupations. The relative weakness in routine occupations is evident in the 1991 and 2001 recessions as well.
The conclusion is that jobless recoveries are due entirely to jobless recoveries in routine occupations. In this group, employment never recovers beyond its trough level, nor does it come anywhere near its pre-recession peak. This is in stark contrast to earlier recessions.
The Trend is the Cycle
Consider now how the employment ratio behaves across these 3 occupational groups over the sample period 1967-2011. Here is the non-routine cognitive group:
Here is the non-routine manual group:
And here is the routine group:
This last figure is quite dramatic. It shows how, prior to 1990, routine employment rebounded strongly following a recession. But since 1990, it appears not to rebound at all. Indeed, the pattern appears to be one of a precipitous decline in recession, followed by a period of relative stability in the subsequent expansion.
Moreover, because these routine jobs are associated with the middle of the income distribution, the data here suggest that job polarization is not a slow, secular phenomenon--it is intimately tied with the business cycle.
Theory
The authors employ a Diamond-Mortensen-Pissarides model to show how routine biased technological change can lead to job polarization, and how recessions can accelerate this process. The modeling framework is a good choice, in my view. (In particular, I have a hard time imagining how an IS-LM or NK model can be used to understand this phenomenon--but maybe I just lack imagination!)
The work here is still very preliminary, of course, but the results look promising. Needless to say, it is hardly the last word on the subject. But I am confident that talented young economists, like Nir and Henry, will continue to shed light on the matter. Well done, gentlemen. Keep up the good work!
Nir Jaimovich (Duke University) and Henry Siu (University of British Columbia) appear to have made a very interesting discovery. Evidently, there appears to be a very strong link between two much talked about phenomena: job polarization and jobless recoveries. Their paper is available here: The Trend is the Cycle: Job Polarization and Jobless Recoveries.
Job Polarization
Job polarization refers to the recent disappearance of employment in occupations in the middle of the skill distribution. To display this phenomenon, the authors decompose employment into occupational groups and then delineate occupations across two dimensions: cognitive vs. manual, and routine vs. non-routine. (These labels are largely self-explanatory, but refer to the paper for details.)
Evidently, these classifications correspond to rankings in the occupational income distribution. Non-routine cognitive occupations tend to be high-skill jobs, and non-routine manual occupations tend to be low-skill jobs. Routine occupations--both cognitive and non-cognitive--tend to be middle-skill occupations. Here is what has been happening to employment shares across these categories:
|
| Percent Change in Employment Shares by Occupation Group |
The figure above shows that across three decades, the share of employment in the middle of the skill distribution appears to be disappearing. Prime suspect: routine biased technological change (e.g., think of ATMs replacing bank tellers).
Jobless Recoveries
Jobless recoveries refer to the unusually slow rebound in the employment dynamic following the end of a recession (when GDP is growing). Here is the typical pattern one would have observed 30 years ago (and before):
The x-axis is centered at "0," which represents the trough of the recession (using NBER dating). The data is plotted for 2 years around the trough date. The shaded region represents peak-to-trough. The y-axis plots the percent change in employment relative to its value in the trough. The figure above shows the rapid recovery in employment following the trough of the recession.
The dynamic above is to be contrasted with what has happened in the previous 3 recessions (early 90s, early 00s, and most recent). Here is what the picture looks like following the most recent recession:
Yes, but what's the link?
So far, this all very interesting, but not very new. What is new is how the authors link the two phenomena.
The following diagram depicts the same employment dynamic, except with employment decomposed along three dimensions: [1] non-routine cognitive, [2] routine, and [3] non-routine manual (same as the polarization graph above). Here is what we see for the 1982 recession:
In this episode, the recovery in employment was strong across all occupation groups. In fact, the non-routine occupations appear to have grown throughout the recession! The key is the strong recovery in the non-routine class of occupations. Roughly the same pattern is evident in the 1970 and 1975 recession as well.
But now let's take a look at the more recent employment dynamic:
Here, we see hardly any movement at all in the non-routine occupations, but a significant and persistent decline in routine occupations. The relative weakness in routine occupations is evident in the 1991 and 2001 recessions as well.
The conclusion is that jobless recoveries are due entirely to jobless recoveries in routine occupations. In this group, employment never recovers beyond its trough level, nor does it come anywhere near its pre-recession peak. This is in stark contrast to earlier recessions.
The Trend is the Cycle
Consider now how the employment ratio behaves across these 3 occupational groups over the sample period 1967-2011. Here is the non-routine cognitive group:
Here is the non-routine manual group:
And here is the routine group:
This last figure is quite dramatic. It shows how, prior to 1990, routine employment rebounded strongly following a recession. But since 1990, it appears not to rebound at all. Indeed, the pattern appears to be one of a precipitous decline in recession, followed by a period of relative stability in the subsequent expansion.
Moreover, because these routine jobs are associated with the middle of the income distribution, the data here suggest that job polarization is not a slow, secular phenomenon--it is intimately tied with the business cycle.
Theory
The authors employ a Diamond-Mortensen-Pissarides model to show how routine biased technological change can lead to job polarization, and how recessions can accelerate this process. The modeling framework is a good choice, in my view. (In particular, I have a hard time imagining how an IS-LM or NK model can be used to understand this phenomenon--but maybe I just lack imagination!)
The work here is still very preliminary, of course, but the results look promising. Needless to say, it is hardly the last word on the subject. But I am confident that talented young economists, like Nir and Henry, will continue to shed light on the matter. Well done, gentlemen. Keep up the good work!
