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Inflation, unemployment, and labour force. Phillips curves and long-term projections for Austria

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  • Ivan Kitov
  • Oleg Kitov

Abstract

We model the rate of inflation and unemployment in Austria since the early 1960s within the Phillips/Fisher framework. The change in labour force is the driving force representing economic activity in the Phillips curve. For Austria, this macroeconomic variable was first tested as a predictor of inflation and unemployment in 2005 with the involved time series ended in 2003. Here we extend all series by nine new readings available since 2003 and re-estimate the previously estimated relationships between inflation, unemployment, and labour force. As before, a structural break is allowed in these relationships, which is related to numerous changes in definitions in the 1980s. The break year is estimated together with other model parameters by the Boundary Element Method with the LSQ fitting between observed and predicted integral curves. The precision of inflation prediction, as described by the root-mean-square (forecasting) error is by 20% to 70% better than that estimated by AR(1) model. The estimates of model forecasting error are available for those time series where the change in labour force leads by one (the GDP deflator) or two (CPI) years. For the whole period between 1965 and 2012 as well as for the intervals before and after the structural break (1986 for all inflation models) separately, our model is superior to the na\"ive forecasting, which in turn, is not worse than any other forecasting model. The level of statistical reliability and the predictive power of the link between inflation and labour force imply that the National Bank of Austria does not control inflation and unemployment beyond revisions to definitions. The labour force projection provided by Statistic Austria allows foreseeing inflation at a forty-year horizon: the rate of CPI inflation will hover around 1.3% and the GDP deflator will likely sink below zero between 2018 and 2034.

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  • Ivan Kitov & Oleg Kitov, 2013. "Inflation, unemployment, and labour force. Phillips curves and long-term projections for Austria," Papers 1310.1786, arXiv.org.
  • Handle: RePEc:arx:papers:1310.1786
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    References listed on IDEAS

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    1. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 147-180.
    3. Josef Baumgartner, 2002. "Die Wirtschaftsprognosen von WIFO und IHS. Eine Analyse für die achtziger und neunziger Jahre," WIFO Monatsberichte (monthly reports), WIFO, vol. 75(11), pages 701-716, November.
    4. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    5. Rumler, Fabio & Valderrama, Maria Teresa, 2010. "Comparing the New Keynesian Phillips Curve with time series models to forecast inflation," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 126-144, August.
    6. Christopher A. Sims, 2007. "Monetary Policy Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 38(2), pages 75-90.
    7. Stock, James H. & Watson, Mark W., 2006. "Forecasting with Many Predictors," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 10, pages 515-554, Elsevier.
    8. Kitov, Ivan, 2009. "The anti-Phillips curve," MPRA Paper 13641, University Library of Munich, Germany.
    9. A. W. Phillips, 1958. "The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861–1957," Economica, London School of Economics and Political Science, vol. 25(100), pages 283-299, November.
    10. Stephen G. Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2006. "Has Monetary Policy become more Efficient? a Cross-Country Analysis," Economic Journal, Royal Economic Society, vol. 116(511), pages 408-433, April.
    11. Fabio Rumler, 2007. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Open Economies Review, Springer, vol. 18(4), pages 427-451, September.
    12. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    13. James H. Stock & Mark W. Watson, 2010. "Modeling inflation after the crisis," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 173-220.
    14. Kitov, Ivan & Kitov, Oleg, 2009. "Unemployment and inflation in Western Europe: solution by the boundary element method," MPRA Paper 14341, University Library of Munich, Germany.
    15. Christopher A. Sims, 2007. "Monetary Policy Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 38(2), pages 75-90.
    16. Stefan Schiman, 2012. "Abkühlung setzt sich fort," WIFO Monatsberichte (monthly reports), WIFO, vol. 85(11), pages 811-818, November.
    17. Christian Ragacs & Martin Schneider, 2007. "Comparing the Predictive Accuracy of Macroeconomic Forecasts for Austria from 1998 to 2006," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 29-49.
    18. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 707-734.
    19. repec:pri:cepsud:155sims is not listed on IDEAS
    20. Alexander Mihailov & Fabio Rumler & Johann Scharler, 2011. "The Small Open-Economy New Keynesian Phillips Curve: Empirical Evidence and Implied Inflation Dynamics," Open Economies Review, Springer, vol. 22(2), pages 317-337, April.
    21. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    22. Friedrich Fritzer, 2011. "Inflation Differentials between Austria, the Euro Area, Germany and Italy," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 31-42.
    23. Ivan KITOV & Oleg KITOV, 2012. "Modeling Unemployment And Employment In Advanced Economies: Okun’S Law With A Structural Break," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 3(1), pages 26-41.
    24. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    25. Stefan Schiman, 2012. "Slowdown Continues. Business Cycle Report of November 2012," Austrian Economic Quarterly, WIFO, vol. 17(4), pages 265-272, December.
    26. Ivan O. KITOV & Oleg I. KITOV, 2010. "Dynamics Of Unemployment And Inflation In Western Europe: Solution By The 1- D Boundary Elements Method," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(2(12)/Sum), pages 94-113.
    27. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    28. Friedrich Fritzer & Ernest Gnan & Walpurga Köhler-Töglhofer & Fabio Rumler & Alfred Stiglbauer, 2008. "Current Inflation Developments in Austria," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 20-47.
    29. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    30. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
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    1. Real GDP is likely not correct as the inflation estimates are weird
      by Ivan Kitov in Economics as Classical Mechanics on 2020-12-22 13:21:00

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    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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