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Cyclical Dynamics of Industrial Production and Employment: Markov Chain-based Estimates and Tests

Listed author(s):
  • Sumru Altug

    ()

    (Koç University and CEPR)

  • Baris Tan

    ()

    (Koç University)

  • Gozde Gencer

    ()

    (Yapikredi Bank)

This paper characterizes the business cycle as a recurring Markov chain for a broad set of developed and developing countries. The objective is to understand differences in cyclical phenomena across a broad range of countries based on the behavior of two key economic times series – industrial production and employment. The Markov chain approach is a parsimonious approach that allows us to examine the cyclical dynamics of different economic time series using limited judgment on the issue. Time homogeneity and time dependence tests are implemented to determine the stationarity and dependence properties of the series. Univariate processes for industrial production and employment growth are estimated individually and a composite indicator that combines information on these series is also constructed. Tests of equality of the estimated Markov chains across countries are also implemented to identify similarities and differences in the cyclical dynamics of the relevant series.

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File URL: http://eaf.ku.edu.tr/sites/eaf.ku.edu.tr/files/erf_wp_1101.pdf
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Paper provided by Koc University-TUSIAD Economic Research Forum in its series Koç University-TUSIAD Economic Research Forum Working Papers with number 1101.

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Length: 34 pages
Date of creation: Jan 2011
Handle: RePEc:koc:wpaper:1101
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  4. Tan, Baris & Yilmaz, Kamil, 2002. "Markov chain test for time dependence and homogeneity: An analytical and empirical evaluation," European Journal of Operational Research, Elsevier, vol. 137(3), pages 524-543, March.
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  10. Sumru Altug & Fabio Canova, 2012. "Do Institutions and Culture Matter for Business Cycles?," Koç University-TUSIAD Economic Research Forum Working Papers 1217, Koc University-TUSIAD Economic Research Forum.
  11. Gali, J., 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," Working Papers 96-28, C.V. Starr Center for Applied Economics, New York University.
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