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POPULATION AGING AND INVENTIVE ACTIVITY

Published online by Cambridge University Press:  29 October 2020

Andreas Irmen*
Affiliation:
University of Luxembourg
Anastasia Litina
Affiliation:
University of Macedonia
*
Address correspondence to: Andreas Irmen, Department of Economics and Management, University of Luxembourg, Campus Kirchberg (Bloc G), 6, Rue Richard Coudenhove-Kalergi, L-1359 Luxembourg, Luxembourg. e-mail: andreas.irmen@uni.lu.

Abstract

This research empirically establishes and interprets the hypothesis that the relationship between population aging and inventive activity is hump-shaped. We estimate a reduced form, hump-shaped relationship in a panel of 33 OECD countries over the period 1960–2012, as well as in a panel of 248 NUTS 2 regions in Europe over the period 2001–2012. The increasing part of the hump may be associated with various channels including the acknowledgement that population aging requires inventive activity to guarantee current and future standards of living, or the observation that older educated workers are more innovative than their young peers. The decreasing part may reflect the tendency of aging societies to lose dynamism and the willingness to take risks.

Type
Articles
Copyright
© Cambridge University Press 2020

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Footnotes

This paper is a revised version of our CESifo working paper Irmen and Litina (2016). A brief summary of this working paper appeared in the Harvard Business Review on January 18, 2017 (see Irmen and Litina (2017).) Both authors gratefully acknowledge financial support from the University of Luxembourg under the program “Agecon C—Population Aging: An Exploration of its Effect on Economic Performance and Culture.”

References

Acemoglu, D. and Restrepo, P. (2017) Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Aiyar, S. and Ebeke, C. H. (2016) The Impact of Workforce Aging on European Productivity. IMF Working Papers 16/238, International Monetary Fund, December 2016.CrossRefGoogle Scholar
Ang, J. B. and Madsen, J. B. (2015) Imitation versus innovation in an aging society: International evidence since 1870. Journal of Population Economics 28(2), 299327.CrossRefGoogle Scholar
Bloom, D. and Sousa-Poza, A. (2013) Ageing and Productivity: Introduction. IZA Discussion Papers, No. 7205, February 2013.CrossRefGoogle Scholar
Börsch-Supan, A. H. (2012) Policy mixes in the current European pension reform process. DICE Report 10(4), 9.Google Scholar
Choi, I. (2001) Unit root tests for panel data. Journal of International Money and Finance 20(2), 249272.CrossRefGoogle Scholar
DellaVigna, S. and Pollet, J. M. (2007) Demographics and industry returns. The American Economic Review 97(5), 16671702.CrossRefGoogle Scholar
Derrien, F., Kecskes, A. and Nguyen, P.-A. (2018) Labor Force Demographics and Corporate Innovation. HEC Research Papers Series 1243, HEC Paris, April 2018.CrossRefGoogle Scholar
Feyrer, J. (2007) Demographics and productivity. The Review of Economics and Statistics 89(1), 100109.CrossRefGoogle Scholar
Giuri, P. and Mariani, M. (2007) Inventors and invention processes in Europe: Results from the PatVal-EU survey. Research Policy 36(8), 11051106.CrossRefGoogle Scholar
Gonzalez-Eiras, M. and Niepelt, D. (2012) Ageing, government budgets, retirement, and growth. European Economic Review 56(1), 97115.CrossRefGoogle Scholar
Gordon, R. J. (2016) The Rise and Fall of American Growth: The US Standard of Living Since the Civil War. Princeton, New Jersey: Princeton University Press.CrossRefGoogle Scholar
Heer, B. and Irmen, A. (2014) Population, pensions, and endogenous economic growth. Journal of Economic Dynamics and Control, 46, 5072.CrossRefGoogle Scholar
Hoisl, K. (2007) A Closer Look at Inventive Output-The Role of Age and Career Paths. Munich School of Management Discussion Paper: No. 12.Google Scholar
Irmen, A. and Litina, A. (2016) Population Aging and Inventive Activity. CESifo Working Paper: No. 5841, CESifo Munich.CrossRefGoogle Scholar
Irmen, A. and Litina, A. (2017) What a Study of 33 Countries Found About Aging Populations and Innovation. Harvard Business Review (https://hbr.org/2017/01/what-a-study-of-33-countries-found-about-aging-populations-and-innovation).Google Scholar
Irmen, A. and Litina, A. (2017a) Population Aging and Culture: Do Old Societies Think Old Ideas? mimeo, Center for Research in Economic Activity (CREA), University of Luxembourg.Google Scholar
Irmen, A. (2017) Capital-and labor-saving technical change in an aging economy. International Economic Review 58(1), 261285.CrossRefGoogle Scholar
Jones, B. F. (2009) The burden of knowledge and the death of the renaissance man: Is innovation getting harder? The Review of Economic Studies 76(1), 283317.CrossRefGoogle Scholar
Jones, B. (2010) Age and great invention. The Review of Economics and Statistics 92(1), 114.CrossRefGoogle Scholar
Judson, R. A. and Owen, A. L. (1999) Estimating dynamic panel data models: A guide for macroeconomists. Economics Letters 65(1), 915.CrossRefGoogle Scholar
Kogel, T. (2005) Youth dependency and total factor productivity. Journal of Development Economics 76(1), 147173.CrossRefGoogle Scholar
Kuehnel, J. (2011) Population aging, the composition of government spending, and endogenous economic growth in politico-economic equilibrium. In: Essays on the Theory of Productive Government Activity and Economic Growth, Chapter 4, PhD Dissertation, University of Heidelberg.Google Scholar
Kulish, M., Kent, C. and Smith, K. (2010) Aging, retirement, and savings: A general equilibrium analysis. The BE Journal of Macroeconomics 10(1), 132.Google Scholar
Maestas, N., Mullen, K. J. and Powell, D. (2016) The Effect of Population Aging on Economic Growth, the Labor Force and Productivity. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Mokyr, J. (2005) Long-term economic growth and the history of technology. In: Aghion, P. and Durlauf, S. N. (eds.), Handbook of Economic Growth, vol. 1, pp. 11131180. Amsterdam, Netherlands: Elsevier.Google Scholar
Nickell, S. J. (1981) Biases in dynamic models with fixed effects. Econometrica 49(6), 1417.CrossRefGoogle Scholar
Pesaran, M. H. (2004) General Diagnostic Tests for Cross Section Dependence in Panels. IZA Discussion Papers, No. 1240.CrossRefGoogle Scholar
Poterba, J. (2014) Retirement security in an aging population. The American Economic Review 104(5), 130.CrossRefGoogle Scholar
Rechel, B., Doyle, Y., Grundy, E. and McKee, M. (2009) How Can Health Systems Respond to Population Ageing? World Health Organisation, Policy Brief 10.Google Scholar
Sauvy, A. (1948) Social and economic consequences of the ageing of Western European populations. Population Studies 2(1), 115124.CrossRefGoogle Scholar
Toivanen, O. and Väänänen, L. (2016) Education and invention. Review of Economics and Statistics 98(2), 382396.CrossRefGoogle Scholar
Weil, D. (1997) The economics of population aging. In: Rosenzweig, M. R. and Stark, O. (eds.), Handbook of Population and Family Economics, vol. 1, pp. 9671014. Amsterdam, Netherlands: Elsevier.CrossRefGoogle Scholar