Older Worker’s Job Search Activities and Employment Transition

Abstract

This study investigated job search patterns among American older workers. Data from the 2016-2018 Health and Retirement Study included 1501 individuals aged 50+ who were looking for jobs in 2016. Latent Class Analysis (LCA) was conducted to identify job search patterns based on nine types of job search activities. Multinomial logistic regression was then used to examine membership in each class. Five job search patterns emerged from the LCA analysis, including No Ads, Ads only, Friends & Ads, Phone & Ads, and Agencies & Ads. Employment transitions were related to job search patterns. Unemployed older workers, despite utilizing more diverse job search methods, were less likely to secure new jobs compared to their employed peers. These findings highlight the need for workforce development programs to focus on workplace skill-building training and educational opportunities before becoming unemployed and age-friendly workforce development tailored to older workers with low-skilled and low income.

Keywords

older worker job search activities employment transitions workforce development

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References

Addison

J. T.

Portugal

(2002). Job search methods and outcomes. Oxford Economic Papers, 54(3), 505–533. https://doi.org/10.1093/oep/54.3.505

Ader

H. J.

Mellenbergh

G. J.

Hand

D. J.

(2008). Advising on research methods: A consultant’s companion. Johannes van Kessel Publ.

Ahn

Song

N. K.

(2017). Unemployment, recurrent unemployment, and material hardships among older workers since the great recession. Social Work Research, 41(4), 249–262. https://doi.org/10.1093/swr/svx020

Akaike

(1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. https://doi.org/10.1109/tac.1974.1100705

Alcover

C.-M.

(2017). Bridge employment: Transitions from career employment to retirement and beyond. In The Palgrave handbook of age diversity and work (pp. 225–262). Springer.

Anderson

K. A.

Richardson

V. E.

Fields

N. L.

Harootyan

R. A.

(2013). Inclusion or exclusion? Exploring barriers to employment for low-income older adults. Journal of Gerontological Social Work, 56(4), 318–334. https://doi.org/10.1080/01634372.2013.777006

Atkinson

(2016). Work-based learning and work-integrated learning: Fostering engagement with employers. ERIC.

Bae

Mowbray

(2019). Millennial generation’s job search activity and job quality: Findings from the national longitudinal survey of youth. Journal of Social Service Research, 45(2), 269–277. https://doi.org/10.1080/01488376.2018.1480553

Baert

Norga

Thuy

Van Hecke

(2016). Getting grey hairs in the labour market. An alternative experiment on age discrimination. Journal of Economic Psychology, 57(1), 86–101. https://doi.org/10.1016/j.joep.2016.10.002

10.

Beehr

T. A.

Bennett

M. M.

(2015). Working after retirement: Features of bridge employment and research directions. Work, Aging and Retirement, 1(1), 112–128. https://doi.org/10.1093/workar/wau007

11.

Blau

Robins

(1990). Job search outcomes for the employed and unemployed. Journal of Political Economy, 98(3), 637–655. https://doi.org/10.1086/261698

12.

Blau

Shvydko

(2011). Labor market rigidities and the employment behavior of older workers. ILR Review, 64(3), 464–484. https://doi.org/10.1177/001979391106400303

13.

Blau

(1994). Testing a two-dimensional measure of job search behavior. Organizational Behavior and Human Decision Processes, 59(2), 288–312. https://doi.org/10.1006/obhd.1994.1061

14.

Börsch-Supan

Weiss

(2016). Productivity and age: Evidence from work teams at the assembly line. The Journal of the Economics of Ageing, 7(1), 30–42. https://doi.org/10.1016/j.jeoa.2015.12.001

15.

Bradley

D. H.

(2015). The workforce innovation and opportunity act and the one-stop delivery system. Congressional Research Service.

16.

Bullock

H. E.

Reppond

H. A.

(2017). Economic inequality and the gendered politics of redistribution. In The Political Psychology of Women in US Politics (pp. 73–92). Taylor & Francis.

17.

Cahill

K. E.

Quinn

J. F.

(2020). The importance of gradual retirement in America today. Public Policy & Aging Report, 30(3), 107–112. https://doi.org/10.1093/ppar/praa013

18.

Chan

Huff Stevens

(2001). Job loss and employment patterns of older workers. Journal of Labor Economics, 19(2), 484–521. https://doi.org/10.1086/319568

19.

Clarke

Marshall

V. W.

Weir

(2012). Unexpected retirement from full time work after age 62: Consequences for life satisfaction in older Americans. European Journal of Ageing, 9(3), 207–219. https://doi.org/10.1007/s10433-012-0229-5

20.

Clinton

(1997). Flexible labor: Restructuring the American work force. Monthly Labor Review, 120(8), 3–17. https://heinonline.org/HOL/P?h=hein.journals/month120&i=699

21.

Cohen

Blake

R. S.

Goodman

(2015). Does turnover intention matter? Evaluating the usefulness of turnover intention rate as a predictor of actual turnover rate. Review of Public Personnel Administration, 36(3), 240–263. https://doi.org/10.1177/0734371X15581850

22.

Coile

Zhang

(2022). Recessions and retirement: New evidence from the COVID-19 pandemic. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4199666

23.

Cornelißen

(2006). Job characteristics as determinants of job satisfaction and labour mobility. Diskussionsbeitrag.

24.

Couch

K. A.

Reznik

G. L.

Iams

H. M.

Tamborini

C. R.

(2018). The incidence and consequences of private sector job loss in the great recession. Social Security Bulletin, 78(1), 31. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3119633.

25.

Crossley

C. D.

Highhouse

(2005). Relation of job search and choice process with subsequent satisfaction. Journal of Economic Psychology, 26(2), 255–268. https://doi.org/10.1016/j.joep.2004.04.001

26.

Cummings

J. R.

Wen

Druss

B. G.

(2013). Geography and the medicaid mental health care infrastructure: Implications for health care reform. JAMA Psychiatry, 70(10), 1084–1090. https://doi.org/10.1001/jamapsychiatry.2013.377

27.

Dunham

Paprocki

Grey

Sattar

Roemer

(2020). Change and continuity in the adult and dislocated worker programs under WIOA. Mathematica.

28.

Feldman

D. C.

T. W. H.

(2007). Careers: Mobility, embeddedness, and success. Journal of Management, 33(3), 350–377. https://doi.org/10.1177/0149206307300815

29.

Fraccaroli

Depolo

Wang

(2017). 24 older? Older workers, late careers and transitions. In An introduction to work and organizational psychology: An international perspective (p. 448). John Wiley & Sons.

30.

Graham

J. W.

(2012). Missing data theory. In Graham

J. W.

(Ed.), Missing data: Analysis and design (pp. 3–46). Springer. https://doi.org/10.1007/978-1-4614-4018-5_1

31.

Gregg

Wadsworth

(1996). How effective are state employment agencies? Jobcentre use and job matching in britain. Oxford Bulletin of Economics & Statistics, 58(3), 443–467. https://doi.org/10.1111/j.1468-0084.1996.mp58003002.x

32.

Hamilton

Biu

Famighetti

Green

Strickland

Wilcox

(2021). Building an equitable recovery: The role of race, labor markets, and education (p. 46). Institute on Race and Political Economy. https://www.newschool.edu/institute-race-political-economy/Building_An_Equitable_Recovery_Hamilton_et_al_2021.pdf

33.

Hansson

(2009). Job-related training and benefits for individuals: A review of evidence and explanations. OECD.

34.

Harris

Krygsman

Waschenko

Laliberte Rudman

(2018). Ageism and the older worker: A scoping review. The Gerontologist, 58(2), e1–e14. https://doi.org/10.1093/geront/gnw194

35.

HRS Survey Research Center . (2019). Health and retirement study 2018 core data description and usage. HRS Survey Research Center.

36.

Hyatt

H. R.

Spletzer

J. R.

(2016). The shifting job tenure distribution. Labour Economics, 41(1), 363–377. https://doi.org/10.1016/j.labeco.2016.05.008

37.

Johnson

R. W.

Mommaerts

(2010). Age differences in job displacement, job search, and reemployment. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1736644

38.

Johnson

R. W.

Mommaerts

(2011). Age differences in job loss, job search, and reemployment. The Urban Institute.

39.

Johnston

Jones

Manley

(2018). Confounding and collinearity in regression analysis: A cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour. Quality and Quantity, 52(4), 1957–1976. https://doi.org/10.1007/s11135-017-0584-6

40.

Kanfer

Wanberg

C. R.

Kantrowitz

T. M.

(2001). Job search and employment: A personality–motivational analysis and meta-analytic review. Journal of Applied Psychology, 86(5), 837–855. https://doi.org/10.1037/0021-9010.86.5.837

41.

Kassenboehmer

S. C.

Schatz

S. G.

(2017). Re-employment expectations and realisations: Prediction errors and behavioural responses. Labour Economics, 44(1), 161–176. https://doi.org/10.1016/j.labeco.2016.12.005

42.

Klehe

U.-C.

Koen

De Pater

I. E.

(2012). Ending on the scrap heap? The experience of job loss and job search among older workers. In The Oxford handbook of work and aging (pp. 313–340). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780195385052.001.0001

43.

Koen

Klehe

U.-C.

Van Vianen

A. E.

Zikic

Nauta

(2010). Job-search strategies and reemployment quality: The impact of career adaptability. Journal of Vocational Behavior, 77(1), 126–139. https://doi.org/10.1016/j.jvb.2010.02.004

44.

Kopelman

R. E.

Rovenpor

J. L.

Millsap

R. E.

(1992). Rationale and construct validity evidence for the job search behavior index: Because intentions (and new year’s resolutions) often come to naught. Journal of Vocational Behavior, 40(3), 269–287. https://doi.org/10.1016/0001-8791(92)90051-Z

45.

Lanza

Bray

(2010). Transitions in drug use among high-risk women: An application of latent class and latent transition analysis. Advances and Applications in Statistical Sciences, 3(2), 203–235. https://pmc.ncbi.nlm.nih.gov/articles/PMC3171700/.

46.

Lanza

Dziak

Huang

Wagner

Collins

(2018). LCA Stata plugin users’ guide version 1.2.1. University Park: The Methodology Center, Penn State.

47.

Lanza

Rhoades

(2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14(2), 157–168. https://doi.org/10.1007/s11121-011-0201-1

48.

Lee

Park

Yang

J.-S.

(2018). Do older workers really reduce firm productivity? Economic and Labour Relations Review, 29(4), 521–542. https://doi.org/10.1177/1035304618811008

49.

Lee

Nishimura

Burton

McCammon

(2021). HRS 2016 sampling weights. HRS.

50.

Lippmann

(2008). Rethinking risk in the new economy: Age and cohort effects on unemployment and re-employment. Human Relations, 61(9), 1259–1292. https://doi.org/10.1177/0018726708094912

51.

Lippmann

Brown

J. S.

(2016). Unemployment, reemployment, and health insurance status among older workers in the flexible labor market. Sociological Inquiry, 86(4), 563–592. https://doi.org/10.1111/soin.12126

52.

Little

R. J. A.

(1988). A Test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198–1202. https://doi.org/10.1080/01621459.1988.10478722

53.

Liu

Huang

J. L.

Wang

(2014). Effectiveness of job search interventions: A meta-analytic review. In Psychological bulletin (Vol. 140, pp. 1009–1041). American Psychological Association. https://doi.org/10.1037/a0035923

54.

Lodder

(2013). To impute or not impute: That’s the question. In Advising on research methods: selected topics (pp. 1–7). Johannes van Kessel Publishing.

55.

Maestas

(2006). Discouraged workers? Job search outcomes of older workers. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1095278

56.

Marmaros

Sacerdote

(2002). Peer and social networks in job search. European Economic Review, 46(4), 870–879. https://doi.org/10.1016/S0014-2921(01)00221-5

57.

Montenovo

Jiang

Lozano-Rojas

Schmutte

Simon

Weinberg

B. A.

Wing

(2022). Determinants of disparities in early COVID-19 job losses. Demography, 59(3), 827–855. https://doi.org/10.1215/00703370-9961471

58.

Muthén

L. K.

(2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24(6), 882–891. https://doi.org/10.1111/j.1530-0277.2000.tb02070.x

59.

Neumark

Burn

Button

(2019). Is it harder for older workers to find jobs? New and improved evidence from a field experiment. Journal of Political Economy, 127(2), 922–970. https://doi.org/10.1086/701029

60.

Norton

E. C.

Dowd

B. E.

Maciejewski

M. L.

(2019). Marginal effects—quantifying the effect of changes in risk factors in logistic regression models. JAMA, 321(13), 1304–1305. https://doi.org/10.1001/jama.2019.1954

61.

Nunnally

J. C.

(1994). Psychometric theory 3E. Tata McGraw-hill Education.

62.

Nylund

K. L.

Asparouhov

Muthén

B. O.

(2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535–569. https://doi.org/10.1080/10705510701575396

63.

Nylund-Gibson

Choi

A. Y.

(2018). Ten frequently asked questions about latent class analysis. Translational Issues in Psychological Science, 4(4), 440–461. https://doi.org/10.1037/tps0000176

64.

Oberski

(2016). Mixture models: Latent profile and latent class analysis BT - Modern statistical methods for HCI ( Robertson

Kaptein

(Eds.), pp. 275–287). Springer International Publishing. https://doi.org/10.1007/978-3-319-26633-6_12

65.

OECD . (2018). Ageing and employment policies: United States 2018 working better with age and fighting unequal ageing. In Ageing and employment policies: United States 2018. OECD Publishing.

66.

Ofstedal

M. B.

Weir

D. R.

Chen

K.-T.

Wagner

(2011). Updates to HRS sample weights. University of Michigan.

67.

Pager

Pedulla

D. S.

(2015). Race, self-selection, and the job search process. American Journal of Sociology, 120(4), 1005–1054. https://doi.org/10.1086/681072

68.

Pedulla

D. S.

Pager

(2019). Race and networks in the job search process. American Sociological Review, 84(6), 983–1012. https://doi.org/10.1177/0003122419883255

69.

Picchio

(2021). Is training effective for older workers? (Vol. 121). IZA World of Labor. https://doi.org/10.15185/izawol.121.v2

70.

Ports

M. H.

(1993). Trends in job search methods, 1970-92. Monthly Labor Review, 116(1), 63. https://link.gale.com/apps/doc/A14668381/AONE?u=anon∼2b2634f6&sid=googleScholar&xid=a75ef046

71.

Quintini

Venn

(2013). Back to work: Re-Employment, earnings and skill use after job displacement. Final Report. OECD.

72.

Ramaswamy

Desarbo

W. S.

Reibstein

D. J.

Robinson

W. T.

(1993). An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Marketing Science, 12(1), 103–124. https://doi.org/10.1287/mksc.12.1.103

73.

Rampey

B. D.

Finnegan

Goodman

Mohadjer

Krenzke

Hogan

Provasnik

(2016). Skills of US unemployed, young, and older adults in sharper focus: Results from the program for the International Assessment of Adult Competencies (PIAAC) 2012/2014. First Look. NCES 2016-039. National Center for Education Statistics.

74.

Rau

B. L.

Adams

G. A.

(2005). Attracting retirees to apply: Desired organizational characteristics of bridge employment. Journal of Organizational Behavior, 26(6), 649–660. https://doi.org/10.1002/job.330. https://www.jstor.org/stable/4093886

75.

Riddell

W. C.

Song

(2011). The impact of education on unemployment incidence and re-employment success: Evidence from the U.S. labour market. Labour Economics, 18(4), 453–463. https://doi.org/10.1016/j.labeco.2011.01.003

76.

Rubin

(1976). Inference and missing data. Biometrika, 63(3), 581–592. https://doi.org/10.1093/biomet/63.3.581

77.

Rutledge

M. S.

Guan

(2015). Job polarization and labor market outcomes for older, middle-skilled workers (p. 35). https://doi.org/10.2139/ssrn.2665788

78.

Saks

A. M.

(2006). Multiple predictors and criteria of job search success. Journal of Vocational Behavior, 68(3), 400–415. https://doi.org/10.1016/j.jvb.2005.10.001

79.

Schwarz

(1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464. https://doi.org/10.1214/aos/1176344136

80.

Sclove

S. L.

(1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52(3), 333–343. https://doi.org/10.1007/bf02294360

81.

Servais

M. A.

(2010). Overview of HRS public data files for cross-sectional and longitudinal analysis. Survey Research Center, Institute for Social Research.

82.

Steel

R. P.

(2002). Turnover theory at the empirical interface: Problems of fit and function. Academy of Management Review, 27(3), 346–360. https://doi.org/10.5465/amr.2002.7389900

83.

Turban

Stevens

Lee

(2009). Effects of conscientiousness and extraversion on new labor market entrants’ job search: The mediating role of metacognitive activities and positive emotions. Personnel Psychology, 62(3), 553–573. https://doi.org/10.1111/j.1744-6570.2009.01148.x

84.

U.S. Bureau of Labor Statistics . (2021). Labor force statistics from the current population survey. https://data.bls.gov

85.

U.S. Census Bureau . (2019). Regions of people (both sexes combined) by median and mean income: 1974 to 2018. https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-income-people.html

86.

U.S. Department of Labor Employment and Training Administration . (2016). Workforce innovation and opportunity act. https://www.dol.gov/sites/dolgov/files/ETA/wioa/pdfs/WIOA_Factsheets.pdf

87.

U.S. Senate Special Committee on Aging . (2017). America’s aging workforce: Opportunities and challenges.

88.

Van Dalen

H. P.

Henkens

Schippers

(2010). Productivity of older workers: Perceptions of employers and employees. Population and Development Review, 36(2), 309–330. https://doi.org/10.1111/j.1728-4457.2010.00331.x

89.

van Hooft

E. A.

Kammeyer-Mueller

J. D.

Wanberg

C. R.

Kanfer

Basbug

(2021). Job search and employment success: A quantitative review and future research agenda. Journal of Applied Psychology, 106(5), 674–713. https://doi.org/10.1037/apl0000675

90.

Van Hoye

Klehe

I. U. C.

van Hooft

E. A. J.

(2018). Job search behavior as a multidimensional construct: A review of different job search behaviors and sources. In The oxford handbook of job loss and job search (pp. 259–274). Oxford University Press.

91.

Vinokur

Caplan

R. D.

(1987). Attitudes and social support: Determinants of job-seeking behavior and well-being among the unemployed1. Journal of Applied Social Psychology, 17(12), 1007–1024. https://doi.org/10.1111/j.1559-1816.1987.tb02345.x

92.

Wanberg

C. R.

Kanfer

Hamann

D. J.

Zhang

(2016). Age and reemployment success after job loss: An integrative model and meta-analysis. Psychological Bulletin, 142(4), 400–426. https://doi.org/10.1037/bul0000019

93.

Wanberg

C. R.

Kanfer

Rotundo

(1999). Unemployed individuals: Motives, job-search competencies, and job-search constraints as predictors of job seeking and reemployment. Journal of Applied Psychology, 84(6), 897–910. https://doi.org/10.1037/0021-9010.84.6.897

94.

Wanberg

C. R.

Watt

J. D.

Rumsey

D. J.

(1996). Individuals without jobs: An empirical study of job-seeking behavior and reemployment. Journal of Applied Psychology, 81(1), 76–87. https://doi.org/10.1037/0021-9010.81.1.76

95.

Weden

M. M.

Zabin

L. S.

(2005). Gender and ethnic differences in the co-occurrence of adolescent risk behaviors. Ethnicity and Health, 10(3), 213–234. https://doi.org/10.1080/13557850500115744

96.

Weller

B. E.

Bowen

N. K.

Faubert

S. J.

(2020). Latent class analysis: A guide to best practice. Journal of Black Psychology, 46(4), 287–311. https://doi.org/10.1177/0095798420930932

97.

Zimmerman

R. D.

Boswell

W. R.

Shipp

A. J.

Dunford

B. B.

Boudreau

J. W.

(2011). Explaining the pathways between approach-avoidance personality traits and employees’ job search behavior. Journal of Management, 38(5), 1450–1475. https://doi.org/10.1177/0149206310396376