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

Author

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  • Sumru Altug

    (Koç University and CEPR)

  • Baris Tan

    (Koç University)

  • Gozde Gencer

    (Yapikredi Bank)

Abstract

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.

Suggested Citation

  • Sumru Altug & Baris Tan & Gozde Gencer, 2011. "Cyclical Dynamics of Industrial Production and Employment: Markov Chain-based Estimates and Tests," Koç University-TUSIAD Economic Research Forum Working Papers 1101, Koc University-TUSIAD Economic Research Forum.
    • Handle: RePEc:koc:wpaper:1101
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    Cited by:

    1. Sumru Altug & Fabio Canova, 2014. "Do Institutions and Culture Matter for Business Cycles?," Open Economies Review, Springer, vol. 25(1), pages 93-122, February.
    2. Gürkan Bozma & Murat Akadg & Rahman Aydin, 2021. "Dynamic Relationships between Oil Price, Inflation and Economic Growth: A VARMA, GARCH-in-mean, asymmetric BEKK Model for Turkey," Economics Bulletin, AccessEcon, vol. 41(3), pages 1266-1281.

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    More about this item

    Keywords

    Markov chain models; economic indicators; cross-country analysis;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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