Is There A Stable Long-run Relationship Between Unemployment And Productivity?

Authors

  • João Tovar Jalles Center for Globalization and Governance, Nova School of Business and Economics, Portugal

DOI:

https://doi.org/10.1515/cer-2015-0012

Keywords:

stationarity, structural breaks, cointegration, DOLS, Granger causality

Abstract

This paper assesses whether productivity and unemployment have a stable long-run relationship. We explore a panel of 19 OECD countries between 1970 and 2012 and rely on recently developed time series econometric methods. Our findings suggest that unemployment and productivity are non-stationary in levels and in many individual cases these series are cointegrated, even after accounting for possible structural breaks. For many individual countries the long-run effect seems to be generally positive. There is also evidence of two-way causality, but the stronger directional relationship runs from unemployment to productivity.

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References

Barnichon, R. (2010), Productivity and Unemployment over the Business Cycle, ʻJournal of Monetary Economicsʼ, 57(8), 1013-1025.
Google Scholar

Bean, C. and Pissarides, C. (1993), Unemployment, consumption and growth, ʻEuropean Economic Reviewʼ, 37, 837-64.
Google Scholar

Beaudreau, B. C. (1998), Energy and organization: Growth and distribution re-examined, Contributions in economics and economic history. Wesport, Conn. and London: Greenwood Press.
Google Scholar

Bowman, P. J. (1991), Work life, [in:] J. S. Jackson (Ed.), Life in black America (pp. 124-155). Newbury Park, CA: Sage.
Google Scholar

Brauninger, M. and Pannenber, M. (2002), Unemployment and Productivity Growth: An Empirical Analysis within the Augmented Solow model, ʻEconomic Modellingʼ, 19, 105-120.
Google Scholar

Caballero, R. (1993), Comment on Bean and Pissarides, ʻEuropean Economic Reviewʼ, 37, 855-59.
Google Scholar

Caballero, R. and Hammour, M. (1994), The cleansing effect of recession, ʻAmerican Economic Reviewʼ, 84, 1075-84.
Google Scholar

Clemente, J., Montañés, A., and Reyes, M. (1998), Testing for a unit root in variables with a double change in the mean, ʻEconomics Lettersʼ, 59, pp.175-182.
Google Scholar

Dolato, J., Lutkepohl, H. (1996), Making Wald test work for cointegrated VAR systems, ʻEconometrics Reviewʼ, 15, 369-386.
Google Scholar

Dolmas, J., Raj, B., and Slottje, D. (1999), The U.S. productivity slowdown: A peak through the structural break window, ʻEconomic Inquiryʼ, 37, 226-241.
Google Scholar

Fichtembaum, R. (1989), The productivity slowdown and the underground economy, ʻQuarterly Journal of Business and Economicsʼ, 28, 78-90.
Google Scholar

Fisher, S. (1988), Symposium on the slowdown in productivity growth, ʻJournal of Economic Perspectivesʼ, 2, 3-7.
Google Scholar

Gali, J. (1999), Technology, employment and the business cycle: do technology shocks explain aggregate fluctuations?, ʻAmerican Economic Reviewʼ, 89 (1), 249-271.
Google Scholar

Gali, J., Gambetti, L. (2009), On the sources of the great moderation, ʻAmerican Economic Journal: Macroeconomicsʼ, 1(1), 26-57.
Google Scholar

Gordon, R. J. (1996), Problems in the measurement and performance of service-sector productivity in the United States, NBER working paper no. 5519.
Google Scholar

Granger, C. (1969), Investigating causal relations by econometric models and cross-spectral methods, ʻEconometricaʼ, 37, 424-38.
Google Scholar

Gregory, A. W., and B. E. Hansen, (1996), Residual-based tests for cointegration in models with regime shifts, ʻJournal of Econometricsʼ, 70(1).
Google Scholar

Griliches, Z. (1988), Productivity puzzles and R&D: Another non-explanation, ʻJournal of Economic Perspectivesʼ, 2, 9-22.
Google Scholar

Griliches Z. (1994), Productivity, R&D and the data constraint, Presidential address at the one-hundred sixth meeting of the American Economic Association. American Economic Review, 84, 1-23.
Google Scholar

Hansen H. and Johansen S. (1993), Recursive Estimation in Cointegrated VAR-Models, Mimeo. Institute of Mathematical Statistics, University of Copenhagen.
Google Scholar

Holly S., Petrella. I. (2008), Factor demand linkages and the business cycle: interpreting aggregate fluctuations as sectoral fluctuations, Working Paper.
Google Scholar

Johansen S. and Juselius K. (1990), Maximum Likelihood Estimation and Inference on Cointegration - with Applications to the Demand for Money, Oxford Bulletin of Economics and Statistics 52, 169-210.
Google Scholar

King R. G. and Rebelo S. (1988), Business cycles with endogenous growth, mimeo, University of Rochester.
Google Scholar

Muscatelli, V. And Tirelli, P. (2001), Unemployment and growth: some empirical evidence from structural time series models, ʻApplied Economicsʼ, 33, 1083-1088.
Google Scholar

Ng S., and Perron P. (2001). Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power,ʻ Econometricaʼ, 69, 1519-1554.
Google Scholar

Perron P. (1989), The great crash, the oil price shock, and the unit root hypothesis, ʻEconometricaʼ, 57, 1361-1401.
Google Scholar

Perron P., and T. Yabu (2009), Tests for shifts in trend with an integrated or stationary noise component, ʻJournal of Business & Economic Statisticsʼ, 27, 369-396.
Google Scholar

Rambaldi A.N. and Doran H. E. (1996), Testing for Granger non-causality in Cointegrated System made easy, ʻWorking Papers in Econometrics and Applied Statisticsʼ, No. 88, Department of Econometrics, University of New England.
Google Scholar

Romer P. M. (1987), Crazy explanations for the productivity slowdown, [in:] Stanley Fisher (Ed.), NBER macroeconomics annual 1987. Cambridge: The MIT Press.
Google Scholar

Saint-Paul G. (1997), Business cycles and long-run growth, CEPR Discussion paper no. 1642.
Google Scholar

Shin Y. (1994), A Residual-based Test of the Null of Cointegration against the Alternative of no Cointegration, ʻEconometric Theoryʼ, 10, 91-115.
Google Scholar

Stadler G. W. (1990), Business cycle models with endogenous technology, ʻAmerican Economic Reviewʼ, 80, 763-78.
Google Scholar

Stiglitz J. (1993), Endogenous growth and cycles, NBER Working Paper no. 4286, April.
Google Scholar

Stock J. and M. Watson, (1993), A simple estimator of cointegrating vectors in higher order integrated systems, ʻEconometricaʼ, 61(4), 783-820.
Google Scholar

Toda H and P. Phillips (1994), Vector autorgression and causality: A theoretical overview and simulation study, ʻEconometric Reviewʼ, 13, 259-85.
Google Scholar

Toda H. and Yamamoto T. (1995), Statistical inference in vector autoregressions with possibly integrated processes, ʻJournal of Econometricsʼ, 66, 225--250.
Google Scholar

Vogelsang T. and Perron P. (1998), Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time, ʻInternational Economic Reviewʼ, 39(4), 1073-1100.
Google Scholar

Vogelsang T. (2001), Testing for a Shift in Trend When Serial Correlation is of Unknown Form, Unpublished Manuscript, Department of Economics, Cornell University.
Google Scholar

Walker John F. and Vatter H. (1989), Why has the United States operated below potential since World War II?, ʻJournal of Post Keynesian Economicsʼ, 11(3), 327-346.
Google Scholar

Weisskopt T. E. (1987), The effect of unemployment on labor productivity: an international comparative analysis, ʻInternational Review of Applied Economicsʼ, 1, 127-151.
Google Scholar

Weisskopt T. E., Bowles S. and Gordon D. M. (1983), Hearts and minds: a social model of U.S. productivity growth, ʻBrookings Papers on Economic Activityʼ, 381-441.
Google Scholar

Zivot E. and Andrews D. W. K. (1992), Further Evidence on the Great Crash, the Oil-Price Shock and the Unit Root Hypothesis, ʻJournal of Business and Economic Statisticsʼ, 10, 251-270.
Google Scholar

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Published

2015-06-16

How to Cite

Jalles, . J. T. (2015). Is There A Stable Long-run Relationship Between Unemployment And Productivity?. Comparative Economic Research. Central and Eastern Europe, 18(2), 57–75. https://doi.org/10.1515/cer-2015-0012

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