Jobless recovery

Economic phenomenon
Part of a series on
Automation
Automation in general
  • Banking
  • Building
    • Home
  • Highway system
  • Laboratory
  • Library
  • Broadcast
  • Mix
  • Pool cleaner
  • Pop music
  • Reasoning
  • Semi-automation
  • Telephone
    • Attendant
    • Switchboard
  • Teller machine
  • Vehicular
  • Vending machine
Robotics and robots
Impact of automation
Trade shows and awards
  • v
  • t
  • e

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.[1][2]

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.[3] Other economists state that blaming automation is an example of the luddite fallacy[4] and that jobless recoveries stem from structural changes in the labor market, leading to unemployment as workers change jobs or industries.[5]

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.[6] 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.[7][8]

Surprisingly, the U.S. Bureau of Labor Statistics (BLS) does not offer data-sets isolated to the working-age population (ages 16 to 65).[9] Including retirement age individuals in most BLS data-sets may tend to obfuscate the analysis of employment creation in relation to population growth.[10] 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,[11] is a strict definition of those officially unemployed (U-3),[12] and those who are officially employed (1 hour or more).[13]

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.

Bureau of Labor Statistics, Monthly Labor Review, December 2013.[10]

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.[9] 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.

U.S. Growth: Employment level growth Vs. population level growth by decade
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.
1948 103,468,000 10,881,000 92,587,000 58,554,000 2,906,000 55,648,000
1949 104,524,000 11,191,000 93,333,000 57,712,000 2,926,000 54,786,000
1950 104,872,000 11,534,000 93,338,000 59,352,000 2,845,000 56,507,000
1951 104,810,000 11,918,000 92,892,000 60,252,000 2,858,000 57,394,000
1952 105,812,000 12,334,000 93,478,000 60,748,000 3,000,000 57,748,000
1953 107,623,000 13,257,000 94,366,000 59,796,000 2,882,000 56,914,000
1954 108,892,000 13,520,000 95,372,000 59,990,000 2,963,000 57,027,000
1955 110,296,000 13,925,000 96,371,000 63,268,000 3,213,000 60,055,000
1956 111,526,000 14,215,000 97,311,000 63,619,000 3,213,000 60,406,000
1957 113,013,000 14,516,000 98,497,000 63,598,000 3,089,000 60,509,000
1958 114,429,000 14,821,000 99,608,000 63,266,000 2,855,000 60,411,000
1959 116,040,000 15,148,000 100,892,000 7,559,000 64,927,000 3,024,000 61,903,000 7,117,000 94.15%
1960 118,001,000 15,508,000 102,493,000 65,287,000 3,176,000 62,111,000
1961 119,214,000 15,861,000 103,353,000 65,531,000 2,885,000 62,646,000
1962 121,236,000 16,880,000 104,356,000 66,585,000 2,821,000 63,764,000
1963 123,360,000 17,014,000 106,346,000 67,791,000 2,765,000 65,026,000
1964 125,468,000 17,296,000 108,172,000 69,543,000 2,913,000 66,630,000
1965 127,294,000 17,580,000 109,714,000 71,819,000 2,926,000 68,893,000
1966 128,730,000 17,860,000 110,870,000 73,600,000 2,892,000 70,708,000
1967 130,936,000 18,194,000 112,742,000 75,337,000 3,030,000 72,307,000
1968 133,120,000 18,500,000 114,620,000 76,699,000 3,086,000 73,613,000
1969 135,489,000 18,825,000 116,664,000 15,772,000 78,789,000 3,069,000 75,720,000 13,817,000 87.60%
1970 138,529,000 19,202,000 119,327,000 78,651,000 3,032,000 75,619,000
1971 141,666,000 19,605,000 122,061,000 80,527,000 3,005,000 77,522,000
1972 145,446,000 20,229,000 125,217,000 83,424,000 2,909,000 80,515,000
1973 148,479,000 20,536,000 127,943,000 86,390,000 2,787,000 83,603,000
1974 151,494,000 21,214,000 130,280,000 86,169,000 2,794,000 83,375,000
1975 154,589,000 21,803,000 132,786,000 86,689,000 2,680,000 84,009,000
1976 157,438,000 22,309,000 135,129,000 89,850,000 2,791,000 87,059,000
1977 160,377,000 22,874,000 137,503,000 94,183,000 2,903,000 91,280,000
1978 163,272,000 23,450,000 139,822,000 97,669,000 3,006,000 94,663,000
1979 166,300,000 24,067,000 142,233,000 25,569,000 100,013,000 3,002,000 97,011,000 21,291,000 83.27%
1980 168,883,000 24,597,000 144,286,000 99,579,000 2,907,000 96,672,000
1981 171,166,000 25,109,000 146,057,000 99,562,000 2,928,000 96,634,000
1982 173,199,000 25,619,000 147,580,000 98,849,000 2,878,000 95,971,000
1983 175,121,000 26,160,000 148,961,000 102,803,000 2,878,000 99,925,000
1984 177,306,000 26,712,000 150,594,000 106,049,000 2,797,000 103,252,000
1985 179,112,000 27,266,000 151,846,000 108,063,000 2,841,000 105,222,000
1986 181,547,000 27,791,000 153,756,000 110,588,000 2,909,000 107,679,000
1987 183,620,000 28,362,000 155,258,000 113,679,000 3,126,000 110,553,000
1988 185,402,000 28,875,000 156,527,000 115,978,000 3,264,000 112,714,000
1989 187,165,000 29,462,000 157,703,000 15,470,000 117,698,000 3,352,000 114,346,000 17,335,000 112.06%
1990 190,017,000 29,453,000 160,564,000 118,110,000 3,256,000 114,854,000
1991 191,798,000 29,893,000 161,905,000 117,395,000 3,193,000 114,202,000
1992 193,784,000 30,396,000 163,388,000 118,990,000 3,341,000 115,649,000
1993 195,794,000 30,784,000 165,010,000 121,578,000 3,394,000 118,184,000
1994 197,765,000 31,181,000 166,584,000 124,729,000 3,641,000 121,088,000
1995 199,508,000 31,629,000 167,879,000 125,136,000 3,676,000 121,460,000
1996 201,636,000 31,902,000 169,734,000 127,903,000 3,807,000 124,096,000
1997 204,098,000 32,071,000 172,027,000 130,785,000 3,933,000 126,852,000
1998 206,270,000 32,275,000 173,995,000 132,732,000 3,855,000 128,877,000
1999 208,832,000 32,538,000 176,294,000 18,591,000 134,696,000 3,984,000 130,712,000 16,366,000 88.03%
2000 213,736,000 33,590,000 180,146,000 137,846,000 4,244,000 133,602,000
2001 216,315,000 33,823,000 182,492,000 136,269,000 4,300,000 131,969,000
2002 218,741,000 34,004,000 184,737,000 136,599,000 4,248,000 132,351,000
2003 222,509,000 34,432,000 188,077,000 138,556,000 4,711,000 133,845,000
2004 224,640,000 34,796,000 189,844,000 140,278,000 4,902,000 135,376,000
2005 227,425,000 35,208,000 192,217,000 142,918,000 5,263,000 137,655,000
2006 230,108,000 35,841,000 194,267,000 146,081,000 5,617,000 140,464,000
2007 233,156,000 36,603,000 196,553,000 146,334,000 5,787,000 140,547,000
2008 235,035,000 37,522,000 197,513,000 143,350,000 6,084,000 137,266,000
2009 236,924,000 38,362,000 198,562,000 22,268,000 137,953,000 6,193,000 131,760,000 1,048,000 4.71%
2010 238,889,000 39,045,000 199,844,000 139,159,000 6,376,000 132,783,000
2011 240,584,000 40,364,000 200,220,000 140,681,000 6,893,000 133,788,000
2012 244,350,000 42,695,000 201,655,000 143,060,000 7,412,000 135,648,000
2013 246,745,000 44,155,000 202,590,000 144,423,000 7,748,000 136,675,000
2014 249,027,000 45,685,000 203,342,000 147,190,000 8,140,000 139,050,000
2015 251,936,000 47,269,000 204,667,000 149,703,000 8,552,000 141,151,000
2016 254,742,000 48,837,000 205,905,000 7,343,000 151,798,000 8,820,000 142,978,000 11,218,000 152.77%
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[9]
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

See also

Notes and references

  1. ^ "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 ...
  2. ^ Smith, Lisa (2010-08-17). "Jobless Recovery: The New Normal Since 1990 | Investopedia". Retrieved 2016-08-17.
  3. ^ Automatic Reaction, The Economist, 2010-09-09
  4. ^ 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.
  5. ^ Erica L. Groshen; Simon Potter (Aug 2003). "Has Structural Change Contributed to a Jobless Recovery?". Federal Reserve Bank of New York.
  6. ^ Who Broke America’s Jobs Machine? Why creeping consolidation is crushing American livelihoods., by Barry C. Lynn and Phillip Longman, Washington Monthly
  7. ^ 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.
  8. ^ 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.
  9. ^ a b c "Bureau of Labor Statistics". Current Population Survey. Bureau of Labor Statistics. Retrieved 9 November 2013.
  10. ^ a b 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.
  11. ^ "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.
  12. ^ "Economic News Release". HOUSEHOLD DATA Table A-15. Alternative measures of labor underutilization. Bureau of Labor Statistics. Retrieved 2 March 2014.
  13. ^ "BLS Information". Frequently Asked Questions (FAQs). Bureau of Labor Statistics. Retrieved 2 March 2014.

External links

  • Exploding Productivity Growth: Context, Causes, and Implications
  • v
  • t
  • e
Topics
Organizations
Advocates
Historic
Contemporary
Related programs
By region
Works
  • v
  • t
  • e
Classifications
Hiring
Roles
Working class
Career and training
Attendance
Schedules
Wages and salaries
Benefits
Safety and health
Equal opportunity
Infractions
Willingness
Termination
Unemployment
Public programs
See also
See also templates
  • Aspects of corporations
  • Aspects of jobs
  • Aspects of occupations
  • Aspects of organizations
  • Aspects of workplaces
  • Corporate titles
  • Organized labor