How Do Pre-Retirement Job Characteristics Shape One’s Post-Retirement Cognitive Performance?

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Crimmins, E. M., Kim, J. K., Langa, K. M., & Weir, D. R. (2011). Assessment of cognition using surveys and neuropsychological assessment: the Health and Retirement Study and the Aging, Demographics, and Memory Study. J Gerontol B Psychol Sci Soc Sci, 66 Suppl 1, i162-171. doi: 10.1093/geronb/gbr048

Curtis, L. H., Hammill, B. G., Eisenstein, E. L., Kramer, J. M., & Anstrom, K. J. (2007). Using inverse probability-weighted estimators in comparative effectiveness analyses with observational databases. Med Care, 45(10 Supl 2), S103-107. doi: 10.1097/MLR.0b013e31806518ac

Falk, E.B. and 18 others (2013) “What is a representative brain? Neuroscience meets population science.” Proceedings of the National Academy of Sciences, vol. 110, no. 44: 17615–17622.

Finkel, D., Andel, R., Gatz, M., & Pedersen, N. L. (2009). The role of occupational complexity in trajectories of cognitive aging before and after retirement. Psychol Aging, 24(3), 563-573. doi: 10.1037/a0015511

Fisher, G. G., Rodgers, W. L., & Weir, D. R. (2009). HRS Imputation of Cognitive Functioning Measures: 1992–2006 Data Description.

Fisher, G. G., Stachowski, A, Infurna, F. J., Faul, J. D., Grosch, J., & Tetrick, L. E. . (2014). Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. Journal of Occupational Health Psychology, 19(2), 231-242. doi: 10.1037/a0035724

Foster, J. C., & Taylor, G. A. (1920). The applicability of mental tests to persons over fifty years of age. Journal of Applied Psychology, 4, 39-58. doi: 10.1037/h0071260

Fratiglioni, L., & Wang, H. X. (2007). Brain reserve hypothesis in dementia. J Alzheimers Dis, 12(1), 11-22.

Hindin, S. B., & Zelinski, E. M. (2012). Extended practice and aerobic exercise interventions benefit untrained cognitive outcomes in older adults: a meta-analysis. J Am Geriatr Soc, 60(1), 136-141. doi: 10.1111/j.1532-5415.2011.03761.x

Holland. 1986. “Statistics and Causal Interference.” Journal of the American Statistical Association 81 (396): 945–60.

Kajitani, Shinya, Sakata, Kei, & McKenzie, Colin. (2013). Does the definition of retirement matter in estimating the effects of retirement on cognitive functioning? Retrieved October 14, 2014, from

Lachman, ME, & Weaver, SL. (1997). Midlife Development Inventory (MIDI) personality scales: scale construction and scoring. Brandeis University. Retrieved from

Langa, K. M., Plassman, B. L., Wallace, R. B., Herzog, A. R., Heeringa, S. G., Ofstedal, M. B., . . . Willis, R. J. (2005). The Aging, Demographics, and Memory Study: study design and methods. Neuroepidemiology, 25(4), 181-191. doi: 10.1159/000087448

Langlois, F., Vu, T. T., Chasse, K., Dupuis, G., Kergoat, M. J., & Bherer, L. (2013). Benefits of physical exercise training on cognition and quality of life in frail older adults. J Gerontol B Psychol Sci Soc Sci, 68(3), 400-404. doi: 10.1093/geronb/gbs069

Li Y, Baldassi M, Johnson EJ & Weber EU. (2012) Compensating cognitive capabilities, decision performance, and aging. Working Paper.

McArdle, J.J. & Willis, R.J (2012) “Cognitive Aging and Human Capital.” In Ron Sun, Ed. Grounding Social Sciences in Cognitive Sciences. MIT Press.: 351-384.

Mukherjee, S., Kim, S., Ramanan, V. K., Gibbons, L. E., Nho, K., Glymour, M. M., . . . Crane, P. K. (2014). Gene-based GWAS and biological pathway analysis of the resilience of executive functioning. Brain Imaging Behav, 8(1), 110-118. doi: 10.1007/s11682-013-9259-7

Park, D. C., J. Lodi-Smith, L. Drew, S. Haber, A. Hebrank, G. N. Bischof, and W. Aamodt. 2014. “The Impact of Sustained Engagement on Cognitive Function in Older Adults: The Synapse Project.” Psychological Science 25 (1): 103–12. doi:10.1177/0956797613499592.

Park, D. C., & Reuter-Lorenz, P. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60(1), 173-196.

Plassman, BL, Newman, T., Welsh, K., & Breitner, J. (1994). Properties of the telephone interview for cognitive status: application in epidemiological and longitudinal studies. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 7, 235-241.

Potter, G. G., Plassman, B. L., Helms, M. J., Foster, S. M., & Edwards, N. W. (2006). Occupational characteristics and cognitive performance among elderly male twins. Neurology, 67(8), 1377-1382. doi: 10.1212/01.wnl.0000240061.51215.ed

Radloff, L. S. . (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385-401.

RAND Center for the Study of Aging. (2008).

Rohwedder, Susann, & Willis, R. J. (2010). Mental Retirement. Journal of Economic Perspectives, 24(1), 119-138. doi: 10.1257/jep.24.1.119

Roy, A.D. (1951) Some thoughts on the distribution of income.” Oxford Economic Papers, Vol. 3, Issue 2, 135-146.

Salthouse, T. A. (2012). Consequences of age-related cognitive declines. Annu Rev Psychol, 63, 201-226. doi: 10.1146/annurev-psych-120710-100328

Salthouse, T. A. . (2006). Mental exercise and mental aging: Evaluating the validity of the “use it or lose it” hypothesis. Perspectives on Psychological Science, 1(68-87). doi: 10.1111/j.1745-6916.2006.00005.x

Salthouse, T. A., Atkinson, T. M., & Berish, D. E. (2003). Executive functioning as a potential mediator of age-related cognitive decline in normal adults. J Exp Psychol Gen, 132(4), 566-594. doi: 10.1037/0096-3445.132.4.566

Salthouse, T. A., Berish, D. E., & Miles, J. D. (2002). The role of cognitive stimulation on the relations between age and cognitive functioning. Psychol Aging, 17(4), 548-557.

Schooler, C. (1984). Psychological effects of complex environments during the life span: A review and theory. Intelligence, 8, 259-281. doi: 10.1016/0160-2896(84)90011-4

Schooler, C. (1990). Psychological factors and effective cognitive functioning. In J. E. Birren & K. W. Schaie (Eds.), Handbook of the psychology of aging (3rd ed.) (Vol. xviii, pp. 347-358). San Diego, CA: Academic Press.

Schooler, C, Mulatu, MS, & Oates, G. (2004). Occupational self-direction, intellectual functioning, and self-directed orientation in older workers: Findings and implications for individuals and societies. American Journal of Sociology, 110, 161-197. doi: 10.1086/385430

Smith, J, Fisher, G, King, R, Ryan, L, Clarke, P, House, J, . . . Weir, D. ( 2012). Documentation of psychosocial measures in the HRS: 2006-2010. HRS/AHEAD Documentation Report. In I. f. S. R. Survey Research Center, University of Michigan (Ed.). Ann Arbor, MI.

StataCorp. (2013). STATA Treatement-Effects Reference Manual: Potential outcomes / Counterfactual Outcomes. Release 13. Retrieved October 31, 2014, from

Welsh, K.A., Breitner, J.C.S., & Mgruder-Habib, K.M. (1993). Detection of dementia in the elderly using telephone screening of cognitive status. Neuropsychiatry Neuropsychol. Behav. Neurol., 6, 103-110.

Willis, R. J. (2013). The cognitive demands of work and the length of working life: the case of computerization. Paper presented at the Working Longer and Retirement Conference, Stanford Institute for Economic Policy Research.

Willis, R.J. & Rosen, S. (1979) "Education and SelfSelection" Journal of Political Economy, 87 Supplement, October 1979, S7S36.

Wooldridge, JM. (2007). Inverse probability weighted estimation for general missing data problems. Jounal of Econometrics, 141, 1281-1301.

Yang, Y., & Lee, L.C. . (2010). Dynamics and heterogeneity in the process of human frailty and aging: Evidence from the U.S. older adult population. Journal of Gerontology: Social Sciences, 65B(2), 246-255. doi: doi:10.1093/geronb/gbp102

1 Carr, corresponding author, can be reached at 579 Serra Mall, Stanford, CA, 94305; email:; (650) 736-8643 (phone); (650) 723-1217 (fax). We are grateful to Michael Hurd for his comments on an earlier version of this paper at the conference on “Working Longer” at the Stanford Institute of Economic Policy Research, October 8-9, 2015.

2 The corrected standard deviation of the change score is calculated using the formula where is the standard deviation of the raw scores in the 51-55 age group and is the test-retest correlation of the 27-point scale across four waves in the analysis sample. Note that the test-retest correlation for the full sample is about 0.6; the smaller value in the analysis sample reflects attenuation due to dropping those with scores below 12.

3 We are grateful to Peter Hudomiet for sharing his cross-walk of HRS occupational codes and O*NET’s SOC codes.

4 For additional details and references to the literature, see the documentation of the teffects command in the Stata manual.

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