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International Evidence on the Connection between Business Cycles and Economic Growth

Author

Listed:
  • Torben Mark Pedersen

    (Institute of Economics, University of Copenhagen)

  • Anne Marie Elmer

    (Ministry of Economic Affairs, Copenhagen)

Abstract

We study the hypothesis that there is a connection between business cycles and economic growth. If economic growth and business cycles were completely independent of each other, then changes in the growth rate would be unrelated to dates of business cycle turning points (apart from pure coincidence). This is a testable implication, and we ''test'' for a connection between business cycles and economic growth by comparing the dates of business cycle turning points with the dates of estimated trend breaks using quarterly real GDP for14 OECD countries in the postwar period. We identify business cycle turning points using a computer algorithm and estimate the timing, size, and character of trend breaks using a general intervention model. We identify 34 trend break dates and 79 percent of these trend breaks occur at or near business cycle turning points which we interpret as confirming our hypothesis of a connection between business cycles and economic growth.

Suggested Citation

  • Torben Mark Pedersen & Anne Marie Elmer, 1998. "International Evidence on the Connection between Business Cycles and Economic Growth," Discussion Papers 98-23, University of Copenhagen. Department of Economics.
  • Handle: RePEc:kud:kuiedp:9823
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    Cited by:

    1. Andergassen, Rainer & Nardini, Franco, 2005. "Endogenous innovation waves and economic growth," Structural Change and Economic Dynamics, Elsevier, vol. 16(4), pages 522-539, December.

    More about this item

    Keywords

    business cycles; economic growth; trend breaks; structural change; stochastic trends;
    All these keywords.

    JEL classification:

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

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