Abstract
This paper examines the relationship between the entry of the baby boom into the workforce and the productivity slowdown. Lucas (Bell J Econ 9(2):508–523, 1978) shows how management quality plays a role in determining output. The baby boom’s entry into the workforce resulted in more managers from smaller, pre-baby boom cohorts. These marginal managers were necessarily of lower quality, leading to a drop in total factor productivity. As the boomers aged, this effect was reversed. A calibrated model of managers, workers, and firms suggests that the management effects of the baby boom may explain roughly 20% of the observed productivity slowdown and resurgence.
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Notes
Lazear et al. (2007).
Other work has also found a relationship between demographic change and output. Focusing on the dependency ratio, Bloom et al. (2001) find that increases in the size of the working age population can produce a “demographic dividend” to economic growth. Kogel (2005) finds a relationship between total factor productivity and the dependency ratio. Persson (2002) finds that the age structure of US states affects output. Sarel (1995) finds a significant effect of the age structure of the population on output in a cross section of countries. Bloom et al. (1988) find that being a member of a large cohort leads to lower lifetime earnings.
This section draws on an argument originally made in Feyrer (2008).
Chari and Hoenhayn (1991) find that technologies diffuse slowly due to vintage human capital effects.
http://usa.ipums.org/usa/. For 1980, 1990, and 2000, the data are a 5% sample. For the earlier years, a 1% sample is used. The sample is comprised of full-time workers. Workers categorized as “Managers, Officials, and Proprietors” under the 1950 occupational coding are coded as managers.
Lucas (1978), pp. 514–515.
These talent levels are deterministic and not stochastic. The solution technique should therefore be seen as a numeric integration rather than a Monte Carlo exercise. To be more concrete, if there were 99 agents, the first would be assigned the first percentile cutoff of the distribution, the second the second percentile, and so on to the 99th percentile.
This is the numerical equivalent to performing the integration in Eq. 2 where z is a function of a given wage and exogenous interest rate, r. The term L(x) + 1 is the number of workers plus the manager.
References
Baily MN, Gordon RJ, Solow RM (1981) Productivity and the services of capital and labor. Brookings Pap Econ Act 1981(1):1–65
Bloom DE, Canning D, Sevilla J (2001) Economic growth and the demographic transition. NBER Working Paper, 8685
Bloom DE, Freeman RB, Korenman SD (1988) The labour-market consequences of generational crowding. Eur J Popul 3(2):131–176
Chari VV, Hoenhayn H (1991) Vintage human capital, growth, and the diffusion of new technology. J Polit Econ 99(6):1142–1165
Fernald J, Thipphavong D, Trehan B (2007) Will fast productivity growth persist? FRBSF Econ Lett 2007(9):1–4
Feyrer J (2007) Demographics and productivity. Rev Econ Stat 89(1):100–109
Feyrer J (2008) Aggregate evidence on the link between demographics and productivity. Popul Dev Rev 34(supplement):78–99
Fischer S (1988) Symposium on the slowdown in productivity growth. J Econ Perspect 2(4):3–7
Gordon RJ, Sichel DE (2002) Productivity growth and the new economy. Comments and discussion. Brookings Pap Econ Act 2002(2):245–265
Griliches Z (1988) Productivity puzzles and R&D: another nonexplanation. J Econ Perspect 2(4):9–21
Jorgenson DW (1988) Productivity and postwar U.S. economic growth. J Econ Perspect 2(4):23–41
Kogel T (2005) Youth dependency and total factor productivity. J Dev Econ 76(1):147–173
Lazear EP, Baicker K, Slaughter MJ (2007) Economic report of the president. Government Printing Office, Washington, DC
Lucas RE (1978) On the size distribution of business firms. Bell J Econ 9(2):508–523
Nordhaus WD (2002) Productivity growth and the new economy. Brookings Pap Econ Act 2002(2):211–244
Oliner SD, Sichel DE (2000) The resurgence of growth in the late 1990s: is information technology the story? J Econ Perspect 14(4):3–22
Persson J (2002) Demographics, human capital, and economic growth: a study of US states 1930–2000. FIEF working paper
Piketty T, Saez E (2003) Income inequality in the United States, 1913–1998. Q J Econ 118(1):1–39
Ruggles S, Sobek M, Alexander T, Fitch CA, Goeken R, Hall PK, King M, Ronnander C (2004) Integrated public use microdata series: version 3.0 (machine-readable database). Minnesota Population Center, Minneapolis
Sarel M (1995) Demographic dynamics and the empirics of economic growth. IMF Staff Pap 42(2):398–410
Weinberg BA (2002) Experience and technology adoption. Ohio State University working paper
Acknowledgements
I am grateful to Pete Klenow, Jon Skinner, Doug Staiger, Jay Shambaugh, and participants at the Population Aging and Economic Growth conference at the Harvard School of Public Health for their helpful comments and advice. All errors are my own.
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Feyrer, J. The US productivity slowdown, the baby boom, and management quality. J Popul Econ 24, 267–284 (2011). https://doi.org/10.1007/s00148-009-0294-z
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DOI: https://doi.org/10.1007/s00148-009-0294-z