Journals / International Econometric Review / 2026 / Volume: 18 Issue: 1

Economic Freedom and Price Stability in the European Union: A Panel Causality Investigation

Çağın Karul(PAMUKKALE UNIVERSITY)0000-0002-5856-930X
Pages
—
Publication Date
2026-06-01
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicate strong bidirectional causality between inflation and economic freedom at the panel level.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the causal relationship between inflation and economic freedom in 27 European Union (EU) countries, with a particular focus on differences between Euro Area and non-Euro Area members.
📊
Key Findings & Data:To properly account for cross-sectional dependence driven by monetary integration and common macroeconomic shocks, the study employs a Panel Vector Autoregression model with unobserved common factors, following Nazlioglu and Karul (2024).
💡
Conclusion & Impact:The results indicate strong bidirectional causality between inflation and economic freedom at the panel level.
🔬Design:Modeling & Simulation
📍Scope:2024 Verileri
⚙️Variables:Economic freedom · Inflation · Panel causality

Abstract

This study examines the causal relationship between inflation and economic freedom in 27 European Union (EU) countries, with a particular focus on differences between Euro Area and non-Euro Area members. The analysis is motivated by the hypothesis that economic freedom affects inflation by enhancing monetary credibility, strengthening policy discipline, and anchoring inflation expectations, while inflation may, in turn, undermine economic freedom by distorting market signals and triggering regulatory and policy interventions. To properly account for cross-sectional dependence driven by monetary integration and common macroeconomic shocks, the study employs a Panel Vector Autoregression model with unobserved common factors, following Nazlioglu and Karul (2024). Panel-level inferences are obtained using a meta-analytic approach based on individual probability values of Wald statistics, allowing for heterogeneity in causal dynamics among EU member states. The results indicate strong bidirectional causality between inflation and economic freedom at the panel level. However, the direction of causality varies across countries. Bidirectional effects are more pronounced among Euro Area members, reflecting the disciplining role of shared monetary institutions and policy credibility. In contrast, non-Euro Area countries display weaker and more complex causal patterns highlighting the role of national monetary autonomy and exchange rate dynamics.

🔖

Cite This Article

Karul, Ç. (2026). Economic Freedom and Price Stability in the European Union: A Panel Causality Investigation. International Econometric Review, Volume: 18 Issue: 1. https://doi.org/10.33818/ier.1924827

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (28)

  1. Aisen, A. and F. J. Veiga (2006). Does political instability lead to higher inflation? A panel data analysis. Journal of money, Credit and Banking, 38(5),1379-1389.
  2. Akıncı, M., G. Y. Akıncı and Ö. Yılmaz (2015). The relationship between central Bank independence, financial freedom, and economic growth: a panel ARDL bounds testing approach. Central Bank Review, 15(3), 1-14.
  3. Akyüz, M., G. N. Gueye and Ç. Karul (2022). Long-run dynamics between trade liberalization and income inequality in the European Union: a second-generation approach. Empirica, 49(3), 769-792.
  4. Bai, J. and S. Ng (2004). A PANIC attack on unit roots and cointegration. Econometrica, 72(4), 1127-1177.
  5. Banaian, K. and W. A. Luksetich (2001). Central bank independence, economic freedom, and inflation rates. Economic Inquiry, 39(1), 149-161.
  6. Beirne, J. (2009). Vulnerability of inflation in the new EU Member States to country-specific and global factors. Economics Bulletin, 29(2), 1420-1431.
  7. Boyko, V. (2014). Economic freedom and anti-inflation policy. Economic Annals-XXI 9-10(2), 11-14.
  8. Breusch, T. S. and A. R. Pagan (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  9. Burriel, P. and A. Galesi (2018). Uncovering the heterogeneous effects of ECB unconventional monetary policies across euro area countries. European Economic Review, 101, 210-229.
  10. Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249-272.
  11. Choi, S., D. Furceri, P. Loungani, S. Mishra and M. Poplawski-Ribeiro (2018). Oil prices and inflation dynamics: Evidence from advanced and developing economies. Journal of International Money and Finance, 82, 71-96.
  12. Cottarelli, C., M. Griffiths and R. Moghadam (1998). The Nonmonetary Determinants of Inflation: A Panel Data Study. IMF Working Papers 98/23. Washington: International Monetary Fund.
  13. Emirmahmutoğlu, F. and N Köse, (2011). Testing for Granger causality in heterogeneous mixed panels. Economic Modelling, 28(3), 870–876.
  14. Dickey, D.A. and W. A. Fuller (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
  15. Fisher, R.A. (1932). Statistical Methods for Research Workers. 4th edition, Edinburgh: Oliver and Boyd.
  16. Freytag, A. and F. G. Schneider (2007). Monetary commitment, institutional constraints and inflation: empirical evidence for OECD countries since the 1970s. CESifo Working Paper No. 2001.
  17. Goczek, Ł. and K. J. Partyka (2019). Too small to be independent? On the influence of ECB monetary policy on interest rates of the EEA countries. Economic Modelling, 78, 180-191.
  18. Gwartney, J. and R. Lawson (2003). The concept and measurement of economic freedom. European Journal of Political Economy, 19(3), 405-430.
  19. Ivanović, V. and N. Stanišić (2017). Monetary freedom and economic growth in new European Union member states. Economic research-Ekonomska istraživanja, 30(1), 453-463.
  20. Karul, Ç. (2025). A Stochastic Convergence Analysis of Economic Freedom and Its Subcomponents in European Union Countries. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 13(Special Issue), 166-177.
  21. Nazlıoğlu, S. and Ç. Karul (2024). Testing for Granger causality in heterogeneous panels with cross-sectional dependence. Empirical Economics, 67(4), 1541-1579. Pehnelt, G. (2007). Globalisation and inflation in OECD countries. ECIPE Working Paper No. 04/2007.
  22. Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967-1012.
  23. Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60, 13-50.
  24. Pricop, I. A. and L. Diaconu (2025). Households’ (In)Security in the European Union: From Principal Components to Causality Analysis. Economies, 13(2), 33.
  25. Reese, S. and J. Westerlund (2016). Panicca: Panic on cross‐section averages. Journal of Applied Econometrics, 31(6), 961-981.
  26. Siyakiya, P. (2017). The impact of institutional quality on economic performance: An empirical study of European union 28 and prospective member countries. World Journal of Applied Economics, 3(2), 3-24.
  27. Telatar, E., F. Telatar, T. Çavuşoğlu. and U. Tosun (2010). Political instability, political freedom and inflation, Applied Economics, 42(30), 3839-3847.
  28. Toda, H. Y. and T. Yamamoto (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1–2), 225–250.