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Interpreting Business Cycles as Generalized Two-Dimensional Loops Using Penalized Splines Regression Techniques

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  • Timo Teuber

Abstract

The two-dimensional circular structure model by Kauermann, Teuber, and Flaschel (2011) will be extended to estimate more than two time series simultaneously. It will be assumed that the multivariate time series follow a cycle over the time. However, the radius and the angle are allowed to smoothly change over the time and will be estimated using a Penalized Spline Regression Technique. The model will be put to life using the Leading, Coincident and Lagging Indicators provided by the Conference Board. The model confirms known observations and sheds new light in the business cycle discussion concerning the long-term trend of economic time series, duration and dating of the business cycles, and the measurement and confirmation of leading and lagging characteristics of time series.

Suggested Citation

  • Timo Teuber, 2013. "Interpreting Business Cycles as Generalized Two-Dimensional Loops Using Penalized Splines Regression Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(1), pages 1-26.
  • Handle: RePEc:aeq:aeqaeq:v59_y2013_i1_q1_p1-26
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    File URL: http://dx.doi.org/10.3790/aeq.59.1.1
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    More about this item

    Keywords

    penalized spline pegression; multivariate nonparametric regression; business cycle; business cycle dating; long-phase cycle;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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