Jobless recovery

{{short description|Economic phenomenon}}

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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.{{cite news|title=INDUSTRY ADOPTS POLITICAL PLANKS FOR NEW DEAL WAR; OLD ORDER IS UPHELD|url=https://query.nytimes.com/search/sitesearch/#/%22jobless+recovery%22/since1851/allresults/1/allauthors/oldest/|access-date=10 November 2013|newspaper=New York Times|date=6 December 1935|quote=Pay Articles from December 1935 Part 7 - Site Map - The New York ...}}{{Cite web|url=http://www.investopedia.com/articles/economics/10/jobless-recovery-the-new-normal.asp|title=Jobless Recovery: The New Normal Since 1990 {{!}} Investopedia|last=Smith|first=Lisa|date=2010-08-17|language=en-US|access-date=2016-08-17}}

Causes

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.{{citation|url=http://www.economist.com/node/16990700|publisher=The Economist|date=2010-09-09|title=Automatic Reaction}} Other economists state that blaming automation is an example of the luddite fallacy{{cite book |last=Easterly |first=William |author-link=William Easterly |title=The Elusive Quest for Growth: Economists' Adventures and Misadventures in the Tropics |year=2001 |publisher=MIT Press |location=Cambridge, Massachusetts |isbn=0-262-55042-3 |pages=[https://archive.org/details/elusivequestforg00will/page/53 53–54] |url-access=registration |url=https://archive.org/details/elusivequestforg00will/page/53 }} and that jobless recoveries stem from structural changes in the labor market, leading to unemployment as workers change jobs or industries.{{cite web |url=http://www.newyorkfed.org/research/current_issues/ci9-8.html |publisher=Federal Reserve Bank of New York |title=Has Structural Change Contributed to a Jobless Recovery? |author=Erica L. Groshen |author2=Simon Potter |date=Aug 2003 |volume=9 |number=8 }}

=Industrial consolidation=

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.[http://www.washingtonmonthly.com/features/2010/1003.lynn-longman.html Who Broke America’s Jobs Machine? Why creeping consolidation is crushing American livelihoods.], by Barry C. Lynn and Phillip Longman, Washington Monthly 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

File:US Employment growth vs Population Growth by decade.jpg

In addition to employment growth, population growth must also be considered concerning the perception of jobless recoveries. Immigrants (both legal and illegal) added to the workforce will often accept lower wages, causing persistent unemployment among those who were previously employed.{{cite web|last=Camerota Ph.D.|first=Stephen A.|title=A Jobless Recovery?: Immigrant Gains and Native Losses|url=https://cis.org/node/245|publisher=Center for Immigration Studies|access-date=2 March 2014|date=October 2004|quote=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.}}{{cite web|last=Peri|first=Giovanni|title=Immigration, Labor Markets, and Productivity|url=http://www.cato.org/pubs/journal/cj32n1/cj32n1-4.pdf|publisher=Cato Journal, Vol. 32, No. 1 (Winter 2012).|access-date=2 March 2014|quote=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.|url-status=dead|archive-url=https://web.archive.org/web/20121009010623/http://www.cato.org/pubs/journal/cj32n1/cj32n1-4.pdf|archive-date=9 October 2012}}

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,{{cite web|title=Glossary|url=http://www.bls.gov/bls/glossary.htm#L|work=Labor Force|publisher=Bureau of Labor Statistics|access-date=2 March 2014|quote=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.}} is a strict definition of those officially unemployed (U-3),{{cite web|title=Economic News Release|url=http://www.bls.gov/news.release/empsit.t15.htm|work=HOUSEHOLD DATA Table A-15. Alternative measures of labor underutilization|publisher=Bureau of Labor Statistics|access-date=2 March 2014}} and those who are officially employed (1 hour or more).{{cite web|title=BLS Information|url=http://www.bls.gov/dolfaq/bls_ques23.htm|work=Frequently Asked Questions (FAQs)|publisher=Bureau of Labor Statistics|access-date=2 March 2014}}

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|quote = 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.

|source = Bureau of Labor Statistics, Monthly Labor Review, December 2013.{{cite web|last=Toossi|first=Mitra|title=Labor force projections to 2022: the labor force participation rate continues to fall|url=http://www.bls.gov/opub/mlr/2013/article/pdf/labor-force-projections-to-2022-the-labor-force-participation-rate-continues-to-fall.pdf|publisher=Bureau of Labor Statistics|access-date=1 March 2014|date=1 December 2013}}

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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.

class="wikitable collapsible collapsed" style="text-align: center"

|+ style="background:#f0f0f0; font-size: 120%;"| U.S. Growth: Employment level growth Vs. population level growth by decade

!

! colspan="3" | Civilian noninstitutional population

! Working-age population

! colspan="3" | Employment levels

! colspan="2" |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.

1948103,468,00010,881,00092,587,00058,554,0002,906,00055,648,000
1949104,524,00011,191,00093,333,00057,712,0002,926,00054,786,000
1950104,872,00011,534,00093,338,00059,352,0002,845,00056,507,000
1951104,810,00011,918,00092,892,00060,252,0002,858,00057,394,000
1952105,812,00012,334,00093,478,00060,748,0003,000,00057,748,000
1953107,623,00013,257,00094,366,00059,796,0002,882,00056,914,000
1954108,892,00013,520,00095,372,00059,990,0002,963,00057,027,000
1955110,296,00013,925,00096,371,00063,268,0003,213,00060,055,000
1956111,526,00014,215,00097,311,00063,619,0003,213,00060,406,000
1957113,013,00014,516,00098,497,00063,598,0003,089,00060,509,000
1958114,429,00014,821,00099,608,00063,266,0002,855,00060,411,000
1959116,040,00015,148,000100,892,0007,559,00064,927,0003,024,00061,903,0007,117,00094.15%
1960118,001,00015,508,000102,493,00065,287,0003,176,00062,111,000
1961119,214,00015,861,000103,353,00065,531,0002,885,00062,646,000
1962121,236,00016,880,000104,356,00066,585,0002,821,00063,764,000
1963123,360,00017,014,000106,346,00067,791,0002,765,00065,026,000
1964125,468,00017,296,000108,172,00069,543,0002,913,00066,630,000
1965127,294,00017,580,000109,714,00071,819,0002,926,00068,893,000
1966128,730,00017,860,000110,870,00073,600,0002,892,00070,708,000
1967130,936,00018,194,000112,742,00075,337,0003,030,00072,307,000
1968133,120,00018,500,000114,620,00076,699,0003,086,00073,613,000
1969135,489,00018,825,000116,664,00015,772,00078,789,0003,069,00075,720,00013,817,00087.60%
1970138,529,00019,202,000119,327,00078,651,0003,032,00075,619,000
1971141,666,00019,605,000122,061,00080,527,0003,005,00077,522,000
1972145,446,00020,229,000125,217,00083,424,0002,909,00080,515,000
1973148,479,00020,536,000127,943,00086,390,0002,787,00083,603,000
1974151,494,00021,214,000130,280,00086,169,0002,794,00083,375,000
1975154,589,00021,803,000132,786,00086,689,0002,680,00084,009,000
1976157,438,00022,309,000135,129,00089,850,0002,791,00087,059,000
1977160,377,00022,874,000137,503,00094,183,0002,903,00091,280,000
1978163,272,00023,450,000139,822,00097,669,0003,006,00094,663,000
1979166,300,00024,067,000142,233,00025,569,000100,013,0003,002,00097,011,00021,291,00083.27%
1980168,883,00024,597,000144,286,00099,579,0002,907,00096,672,000
1981171,166,00025,109,000146,057,00099,562,0002,928,00096,634,000
1982173,199,00025,619,000147,580,00098,849,0002,878,00095,971,000
1983175,121,00026,160,000148,961,000102,803,0002,878,00099,925,000
1984177,306,00026,712,000150,594,000106,049,0002,797,000103,252,000
1985179,112,00027,266,000151,846,000108,063,0002,841,000105,222,000
1986181,547,00027,791,000153,756,000110,588,0002,909,000107,679,000
1987183,620,00028,362,000155,258,000113,679,0003,126,000110,553,000
1988185,402,00028,875,000156,527,000115,978,0003,264,000112,714,000
1989187,165,00029,462,000157,703,00015,470,000117,698,0003,352,000114,346,00017,335,000112.06%
1990190,017,00029,453,000160,564,000118,110,0003,256,000114,854,000
1991191,798,00029,893,000161,905,000117,395,0003,193,000114,202,000
1992193,784,00030,396,000163,388,000118,990,0003,341,000115,649,000
1993195,794,00030,784,000165,010,000121,578,0003,394,000118,184,000
1994197,765,00031,181,000166,584,000124,729,0003,641,000121,088,000
1995199,508,00031,629,000167,879,000125,136,0003,676,000121,460,000
1996201,636,00031,902,000169,734,000127,903,0003,807,000124,096,000
1997204,098,00032,071,000172,027,000130,785,0003,933,000126,852,000
1998206,270,00032,275,000173,995,000132,732,0003,855,000128,877,000
1999208,832,00032,538,000176,294,00018,591,000134,696,0003,984,000130,712,00016,366,00088.03%
2000213,736,00033,590,000180,146,000137,846,0004,244,000133,602,000
2001216,315,00033,823,000182,492,000136,269,0004,300,000131,969,000
2002218,741,00034,004,000184,737,000136,599,0004,248,000132,351,000
2003222,509,00034,432,000188,077,000138,556,0004,711,000133,845,000
2004224,640,00034,796,000189,844,000140,278,0004,902,000135,376,000
2005227,425,00035,208,000192,217,000142,918,0005,263,000137,655,000
2006230,108,00035,841,000194,267,000146,081,0005,617,000140,464,000
2007233,156,00036,603,000196,553,000146,334,0005,787,000140,547,000
2008235,035,00037,522,000197,513,000143,350,0006,084,000137,266,000
2009236,924,00038,362,000198,562,00022,268,000137,953,0006,193,000131,760,0001,048,0004.71%
2010238,889,00039,045,000199,844,000139,159,0006,376,000132,783,000
2011240,584,00040,364,000200,220,000140,681,0006,893,000133,788,000
2012244,350,00042,695,000201,655,000143,060,0007,412,000135,648,000
2013246,745,00044,155,000202,590,000144,423,0007,748,000136,675,000
2014249,027,00045,685,000203,342,000147,190,0008,140,000139,050,000
2015251,936,00047,269,000204,667,000149,703,0008,552,000141,151,000
2016254,742,00048,837,000205,905,0007,343,000151,798,0008,820,000142,978,00011,218,000152.77%
colspan="10" align="center"| Pre and Post 2000 Comparisons (working age)
Pop. Growthcolspan="2"|Employment Growth
1900scolspan="3" align="center"| 1950 to 199982,961,00075,926,00091.52%
2000scolspan="3" align="center"| 2000 to 201629,611,00012,266,00041.42%
colspan="10" align="center" style="background:#f0f0f0; font-size: 86%;"|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{{cite web|title=Bureau of Labor Statistics|url=http://www.bls.gov/data/|work=Current Population Survey|publisher=Bureau of Labor Statistics|access-date=9 November 2013}}
colspan="10" align="left" style="background:#f0f0f0; font-size: 86%;"|Series Id: LNU00000000 Not Seasonally Adjusted Series title: (Unadj.) population Level
Labor force status: Civilian noninstitutional population age: 16 years and over
colspan="10" align="left" style="background:#f0f0f0; font-size: 86%;"|Series Id: LNU02000000 Not Seasonally Adjusted Series title: (Unadj.) employment Level
Labor force status: Employed Age: 16 years and over
colspan="10" align="left" style="background:#f0f0f0; font-size: 86%;"|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
colspan="10" align="left" style="background:#f0f0f0; font-size: 86%;"| Series Id: LNU02000097 Not Seasonally Adjusted Series title: (Unadj.) employment Level - 65 yrs. & over
Labor force status: Employed Age: 65 years and over

See also

Notes and references

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