IDEAS home Printed from https://ideas.repec.org/p/sek/iefpro/0401542.html
   My bibliography  Save this paper

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

    Download full text from publisher

    File URL: https://iises.net/proceedings/2nd-economics-finance-conference-vienna/table-of-content/detail?cid=4&iid=30&rid=1542
    File Function: First version, 2014
    Download Restriction: no
    ---><---

    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. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nazlioglu, Saban & Gupta, Rangan & Gormus, Alper & Soytas, Ugur, 2020. "Price and volatility linkages between international REITs and oil markets," Energy Economics, Elsevier, vol. 88(C).
    2. Hassani, Hossein & Huang, Xu & Gupta, Rangan & Ghodsi, Mansi, 2016. "Does sunspot numbers cause global temperatures? A reconsideration using non-parametric causality tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 54-65.
    3. Andrew Phiri, 2021. "Is Neo-Fisherism ‘alive’ in South Africa? A frequency domain causality approach," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 14(2), pages 142-156, May.
    4. Kayhan, Selim & Bayat, Tayfur & Yüzbaşı, Bahadir, 2013. "Government expenditures and trade deficits in Turkey: Time domain and frequency domain analyses," Economic Modelling, Elsevier, vol. 35(C), pages 153-158.
    5. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    6. Pejman Bahramian & Andisheh Saliminezhad, 2021. "Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1103-1125, December.
    7. Tayfur Bayat & Saban Nazlioglu & Selim Kayhan, 2015. "Exchange Rate and Oil Price Interactions in Transition Economies: Czech Republic, Hungary and Poland," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(3), pages 267-285, June.
    8. Olivier Habimana, 2019. "Wavelet Multiresolution Analysis of the Liquidity Effect and Monetary Neutrality," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 85-110, January.
    9. Nazlioglu, Saban & Gupta, Rangan & Bouri, Elie, 2020. "Movements in international bond markets: The role of oil prices," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 47-58.
    10. Aviral Tiwari & Mihai Mutascu, 2014. "A revisit on the tax burden distribution and GDP growth: fresh evidence using a consistent nonparametric test for causality for the USA," Empirical Economics, Springer, vol. 46(3), pages 961-972, May.
    11. Oryani, Bahareh & Kamyab, Hesam & Mоridiаn, Аli & Azizi, Zahra & Rezania, Shahabaldin & Chelliapan, Shreeshivadasan, 2022. "Does structural change boost the energy demand in a fossil fuel-driven economy? New evidence from Iran," Energy, Elsevier, vol. 254(PC).
    12. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    13. Gaetano D’Adamo, 2014. "Wage spillovers across sectors in Eastern Europe," Empirical Economics, Springer, vol. 47(2), pages 523-552, September.
    14. Ciner, Cetin, 2011. "Eurocurrency interest rate linkages: A frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 498-505, October.
    15. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    16. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    17. Atanu Ghoshray & Yurena Mendoza & Mercedes Monfort & Javier Ordoñez, 2018. "Re-assessing causality between energy consumption and economic growth," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-15, November.
    18. Bouoiyour, Jamal & Selmi, Refk & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2015. "The nexus between oil price and Russia's real exchange rate: Better paths via unconditional vs conditional analysis," Energy Economics, Elsevier, vol. 51(C), pages 54-66.
    19. Mustafa Serdar Basoglu & Turhan Korkmaz & Emrah Ismail Cevik, 2014. "London Metal Exchange: Causality Relationship between the Price Series of Non-Ferrous Metal Contracts," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 726-734.
    20. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:iefpro:0401542. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.