|Part of a series on|
|Automation in general|
|Robotics and robots|
|Impact of automation|
|Trade shows and awards|
A jobless recovery or jobless growth is an economic phenomenon in which a macroeconomy experiences growth while maintaining or decreasing its level of employment. The term was coined by the economist Nick Perna in the early 1990s.
Economists are still divided about the causes and cures of a jobless recovery: some argue that increased productivity through automation has allowed economic growth without reducing unemployment. Other economists state that blaming automation is an example of the luddite fallacy and that jobless recoveries stem from structural changes in the labor market, leading to unemployment as workers change jobs or industries.
Some have argued that the recent lack of job creation in the United States is due to increased industrial consolidation and growth of monopoly or oligopoly power. The argument is twofold: firstly, small businesses create most American jobs, and secondly, small businesses have more difficulty starting and growing in the face of entrenched existing businesses (compare infant industry argument, applied at the level of industries, rather than individual firms).
Population growth vs. employment growth
In addition to employment growth, population growth must also be considered concerning the perception of jobless recoveries. Immigrants and new entrants to the workforce will often accept lower wages, causing persistent unemployment among those who were previously employed.
Surprisingly, the U.S. Bureau of Labor Statistics (BLS) does not offer data-sets isolated to the working-age population (ages 16 to 65). Including retirement age individuals in most BLS data-sets may tend to obfuscate the analysis of employment creation in relation to population growth. Additionally, incorrect assumptions about the term, Labor force, might also occur when reading BLS publications, millions of employable persons are not included within the official definition. The Labor force, as defined by the BLS, is a strict definition of those officially unemployed (U-3), and those who are officially employed (1 hour or more).
Once again, the baby-boom generation has become a generator of change, this time in its retirement. Moreover, the jobless recovery of the 2001 recession, coupled with the severe economic impact of the 2007–2009 recession, caused disruptions in the labor market. In the first 12 years of the 21st century, the growth of the population has slowed and labor force participation rates generally have declined. As a result, labor force growth also has slowed. The Bureau of Labor Statistics (BLS) projects that the next 10 years will bring about an aging labor force that is growing slowly, a declining overall labor force participation rate, and more diversity in the racial and ethnic composition of the labor force.
The following table and included chart depicts year-to-year employment growth in comparison to population growth for those persons under 65 years of age. As such, baby boomer retirements are removed from the data as a factor for consideration. The table includes the Bureau of Labor Statistics, Current Population Survey, for the Civilian noninstitutional population and corresponding Employment Levels, dating from 1948 and includes October 2013, the age groups are 16 years & over, and 65 years & over. The working-age population is then determined by subtracting those age 65 and over from the Civilian noninstitutional population and Employment Levels respectively. Isolated into the traditional working-age subset, growth in both employment levels and population levels are totaled by decade, an employment percentage rate is also displayed for comparison by decade.
When examined, by decade, the first decade of the 2000s, the United States suffered a 5% jobless rate when compared to the added working age population.
|Civilian noninstitutional population||Working-age population||Employment levels||Working-age employment|
|Year||Age: 16 years & over||Age: 65 yrs. & over||Age: 16 to 65 yrs.||Growth – decade||Age: 16 years & over||Age: 65 yrs. & over||Age: 16 to 65||Growth – decade||Percent emp.|
|Pre and Post 2000 Comparisons (working age)|
|Pop. Growth||Employment Growth|
|1900s||1950 to 1999||82,961,000||75,926,000||91.52%|
|2000s||2000 to 2016||29,611,000||12,266,000||41.42%|
|Bold denotes datum used to produce "Working-Age: Growth Decade" calculation |
Decade example = End of year 1949 to end of year 1959
Source: Bureau of Labor Statistics, Current Population Survey
|Series Id: LNU00000000 Not Seasonally Adjusted Series title: (Unadj.) population Level|
Labor force status: Civilian noninstitutional population age: 16 years and over
|Series Id: LNU02000000 Not Seasonally Adjusted Series title: (Unadj.) employment Level|
Labor force status: Employed Age: 16 years and over
|Series Id:LNU00000097 Not Seasonally Adjusted Series title: (Unadj.) population Level - 65 yrs. & over |
Labor force status: Civilian noninstitutional population age: 65 years and over
|Series Id: LNU02000097 Not Seasonally Adjusted Series title: (Unadj.) employment Level - 65 yrs. & over |
Labor force status: Employed Age: 65 years and over
Notes and references
- "INDUSTRY ADOPTS POLITICAL PLANKS FOR NEW DEAL WAR; OLD ORDER IS UPHELD". New York Times. 6 December 1935. Retrieved 10 November 2013.
Pay Articles from December 1935 Part 7 - Site Map - The New York ...
- Smith, Lisa (2010-08-17). "Jobless Recovery: The New Normal Since 1990 | Investopedia". Retrieved 2016-08-17.
- Automatic Reaction, The Economist, 2010-09-09
- Easterly, William (2001). The Elusive Quest for Growth: Economists' Adventures and Misadventures in the Tropics. Cambridge, Massachusetts: MIT Press. pp. 53–54. ISBN 0-262-55042-3.
- Erica L. Groshen; Simon Potter (Aug 2003). "Has Structural Change Contributed to a Jobless Recovery?". Federal Reserve Bank of New York.
- Who Broke America’s Jobs Machine? Why creeping consolidation is crushing American livelihoods., by Barry C. Lynn and Phillip Longman, Washington Monthly
- Camerota Ph.D., Stephen A. (October 2004). "A Jobless Recovery?: Immigrant Gains and Native Losses". Center for Immigration Studies. Retrieved 2 March 2014.
Between March of 2000 and 2004, the number of unemployed adult natives increased by 2.3 million, while the number of employed adult immigrants increased by 2.3 million.
- Peri, Giovanni. "Immigration, Labor Markets, and Productivity" (PDF). Cato Journal, Vol. 32, No. 1 (Winter 2012). Archived from the original (PDF) on 9 October 2012. Retrieved 2 March 2014.
In this case firms pay immigrants less than their marginal productivity, increasing the firms' profits. Such cost-savings on immigrants act as an increase in productivity for firms.
- "Bureau of Labor Statistics". Current Population Survey. Bureau of Labor Statistics. Retrieved 9 November 2013.
- Toossi, Mitra (1 December 2013). "Labor force projections to 2022: the labor force participation rate continues to fall" (PDF). Bureau of Labor Statistics. Retrieved 1 March 2014.
- "Glossary". Labor Force. Bureau of Labor Statistics. Retrieved 2 March 2014.
Labor force (Current Population Survey) The labor force includes all persons classified as employed or unemployed in accordance with the definitions contained in this glossary.
- "Economic News Release". HOUSEHOLD DATA Table A-15. Alternative measures of labor underutilization. Bureau of Labor Statistics. Retrieved 2 March 2014.
- "BLS Information". Frequently Asked Questions (FAQs). Bureau of Labor Statistics. Retrieved 2 March 2014.