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Fisher Effect in Austria Causality Approach

Author

Listed:
  • Sami Taban

    (Osmangazi University)

  • Tayfur Bayat

    (?nönü University)

  • Ferit Önder

    (Kahramanmara? Sütçü ?mam University)

Abstract

In this study, we aim to investigate relationship between interest rate and consumer price index in Austria by using quarterly data belonging 1990:Q1 to 2013:Q4.period in the context of Fisher (1930) hypothesis. We employ linear unit root test and causality tests. according to linear Granger causality test, there is no causal relationship between the variables in Austria. So the time domain causality analyses imply that Fisher?s hypothesis is not valid in Austria. Forth, frequency domain causality test results imply bi-directional causality while the Fisher effect is valid in the short run. Also the causality runs from inflation rate to interest rate in the long run. At the end of analysis, results imply that Fisher effect is not validity for Austria in this period.

Suggested Citation

  • Sami Taban & Tayfur Bayat & Ferit Önder, 2014. "Fisher Effect in Austria Causality Approach," Proceedings of Economics and Finance Conferences 0401542, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iefpro:0401542
    as

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    File URL: https://iises.net/proceedings/2nd-economics-finance-conference-vienna/table-of-content/detail?cid=4&iid=30&rid=1542
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    References listed on IDEAS

    as
    1. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    2. Mr. Wensheng Peng, 1995. "The Fisher Hypothesis and Inflation Persistence: Evidence From Five Major Industrial Countries," IMF Working Papers 1995/118, International Monetary Fund.
    3. R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
    4. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    5. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Fisher Effect; Interest Rate; Inflation Rate; Causality;
    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
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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