: 10.56472/25835238/IRJEMS-V3I5P136Mehdi Mohebi. "Futuristic Projection of Time-Varying NAIRU for Canadian Economy and Its Implication for Changes in Economic Growth" International Research Journal of Economics and Management Studies, Vol. 3, No. 5, pp. 300-306, 2024.
The Non-Accelerating Inflation Rate of Unemployment stands for a rate of unemployment that will not put pressure on the economy and facilitates economic growth without any inflationary pressures. This concept originated from the Philips curve, in which if economic agents are employed at full capacity, the economy produces in the long run. If we remove the inflationary pressure, we can estimate the NAIRU, which is a better policy tool. This paper seeks to estimate the time series of NAIRU in the Canadian economy for the years between 2005 to 2022. The persistency of unemployment in the Canadian economy is analyzed via NAIRU and its fluctuations. Their contribution to economic growth is considered by breaking total unemployment to NAIRU and the Unemployment Gap, which is derived from the Philips curve. The results reflect that the equilibrium unemployment rate for the Canadian economy is around 2 percent, and according to the projection of future trends, the government and, specifically Central Bank should target this rate in order to prevent fluctuations and keep the economy in its steady state in the long run. Moreover, through the Granger causality test, it is approved that NAIRU is a granger cause of economic growth.
[1] Arellano, M., Bond, S, (1991). “Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations”.,
Review of Economic Studies, 58, 277-297.
[2] A Komijani, M Mohebi “NAIRU Fluctuations and Economic Growth: Evidences from Developing Countries.” European Journal of Scientific Research
98 (3), 310.
[3] Barro, J., Robert, “Human Capital and Growth”, (pp. 12-17), American Economic Review: Vol. 91 No. 2, (May 2001).
[4] Blundell, R., Bond, S, (1998). “Initial conditions and moment restrictions in dynamic panel data models”, Journal of Econometrics, 87, 115-143.Ball,
Laurence; Mankiw, N. Gregory. 2002. “The NAIRU in Theory and Practice”, JOURNAL OF ECONOMIC PERSPECTIVES, 16, NO. 4 (FALL). 115136.
[5] Braninger, Micheal, Pannendberg, Markus, “Unemployment and Productivity Growth, An Empirical analysis within the Augmented Solow Model”,
Economic Modeling, 19 (2002), 105-120, 2000, March.
[6] Coen, Robert, M., Robert Eisner, John Tepper Marlin, and Suken N. Shah. 1999. “The NAIRU and Wages in Local Labor Markets.” American
Economic Review, 89 (2): 52-57.DOI: 10.1257/aer.89.2.52.
[7] Eli’as, J., Victor “The Role of total productivity on economic growth”, National University of Tucuma’n, World Development Report 1991, World
Bank.
[8] Fair, Ray, C.. 1999. “Does the NAIRU Have the Right Dynamics?” American Economic Review, 89 (2): 58-62.DOI: 10.1257/aer.89.2.58.
[9] Hatton, J., Timothy, “Can Productivity Growth Explain NAIRU? Long-run Evidence from Britain, 1871-1999”, Econometrica, (2007), 74, 475-
491.
[10] Holtz-Eakin D., W., Newey, H.S, Rosen, (1988). “Estimating vector autoregressions with panel data”. Econometrica, 56, 1371-1395.
[11] KALMAN, R. E. 2006. “Time series Analysis, Statistical Information Theory, and Other Special”, NO. 2.133-43. DOI:10.1111/j.13652648.2006.03681.x.
[12] Komijani, Akbar & Mohebi Mehdi. 2013. “NAIRU Fluctuations and Economic Growth: Evidences from Developing Countries”, European Journal of
Scientific Research, No. 3.
[13] Mankiw, Gregory, Ball, M., Laurence, “NAIRU in theory and practice”, Journal of Economic Perspective, 2002.
[14] Mikhail, Ossama; Eberwein, J., Curtis and Handa, Jagdish. 2005. “Testing for persistence in aggregate and sectoral Canadian unemployment”, Applied
Economics Letters, 12, 893–898.
[15] Mehdi Mohebi & Akbar Komijani. 2017. “NAIRU and productivity shocks: evidence from three gigantic economies”, Applied Economics Letters, 25,
NO. 12. DOI: 10.1080/13504851.2017.1371839.
[16] Mitze, Timo, “A Panel VAR Approach for Internal Migration Modelling and Regional Labour Market Dynamics in Germany”, Lecture Note in
Economics and Mathematical Systems 657, Empirical Modelling in Regional Science, Springer-Verlag Berlin Heidelberg 2012.
[17] Mohebi, Mehdi. 2017. “Is Labour Productivity interpretive for fluctuations in NAIRU? Panel-VAR evidence from OECD countries”, The International
Journal of Contemporary Economics and Administrative Sciences, NO. 1-2.
[18] Monetary Policy.” Journal of Economic Perspectives, 11 (1): 33-49.DOI: 10.1257/jep.11.1.33.
[19] Galbraith, James K. 1997. “Time to Ditch the NAIRU.” Journal of Economic Perspectives, 11 (1): 93-108.DOI: 10.1257/jep.11.1.93Top of Form.
[20] Meyer, Laurence, H., Eric T. Swanson, and Volker W. Wieland. 2001. “NAIRU Uncertainty and Nonlinear Policy Rules.” American Economic
Review, 91 (2): 226-231.DOI: 10.1257/aer.91.2.226.
[21] Watson, Mark W. 2014. “Inflation Persistence, the NAIRU, and the Great Recession.” American Economic Review, 104 (5): 31-36.DOI:
10.1257/aer.104.5.31Top of Form
[22] Stiglitz, Joseph. 1997. “Reflections on the Natural Rate Hypothesis.” Journal of Economic Perspectives, 11 (1): 3-10.DOI: 10.1257/jep.11.1.3.
[23] Sheffrin, M., Steven, O’Sullivan, Arthur, “Economics: Principles and Tools”, Prentice Hall 2003-712.Gordon, Robert J. 1997. “The Time-Varying
NAIRU and Its Implications for Economic Policy.” Journal of Economic Perspectives, 11 (1): 11-32.DOI: 10.1257/jep.11.1.11.
[24] Staiger, Douglas, James H. Stock, and Mark W. Watson. 1997. “The NAIRU and Unemployment”
NAIRU, Economic Growth, Granger Causality, persistency.