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TIME-VARYING CAUSALITY IMPACT OF WORLD UNCERTAINTY ON G7 AND F5 COUNTRIES’ INFLATION RATES

Yıl 2025, Cilt: 21 Sayı: 1, 96 - 121, 26.03.2025

Öz

Our study explores the causality relationship running from uncertainties to inflation in both G7 and F5 countries by using the largest data set available. We employ World Uncertainty Index (WUI) developed by Ahir et al. (2018) to represent uncertainties. This index differs from other economy-related uncertainties as it is constructed from both major political and economic developments. Since our model parameters are shown to be not stable, we perform time-varying causality analysis. Our results suggest that uncertainties have predictive power on inflation. Second, we also conclude that uncertainties associated with political developments produce price changes at least as much as uncertainties driven by economic developments. This evidence reveals that a stable political environment is also required to reduce inflation rates. Third, even though policy makers successfully recognize the source of uncertainty and conduct national policies against them, reducing inflation rates still can be challenging task for policy makers due to spillover impacts of uncertainties. Finally, causal relationship is more robust in G7 countries as the number of detected causal episodes in G7 countries is substantially higher than F5 countries. This result also implies that changes in uncertainties at different development stages can produce different price responses.

Kaynakça

  • Abakah, E. J. A., Tiwari, A. K., Adekoya, O. B., & Oteng-Abayie, E. F. (2023). An analysis of the time-varying causality and dynamic correlation between green bonds and US gas prices. Technological Forecasting and Social Change, 186, 122134. https://doi.org/10.1016/j.techfore.2022.122134
  • Ahira, H., Bloom, N., & Furceri, D. (2018). World uncertainty index. Retrieved from https://www.policyuncertainty.com/media/WUI_mimeo_10_29.pdf/. Accessed 31.05.2024.
  • Aisen, A., & Veiga, F. J. (2006). Does political instability lead to higher inflation? A panel data analysis. Journal of Money, Credit, and Banking, 38(5), 1379–32.
  • Alam, M. R. (2015). Economic policy uncertainty in the US: Does it matter for Canada?. Economics Bulletin, 35(4), 2725-2732.
  • Alam, M. R., & Istiak, K. (2020). Impact of US policy uncertainty on Mexico: Evidence from linear and nonlinear tests. Quarterly Review of Economics & Finance, 77, 355-366.
  • Alexopoulos, M., & Cohen, J. (2009). Uncertain times, uncertain measures. University of Toronto, Department of Economics Working Paper, No.325
  • Al-Nassar, N. S., & Albahouth, A. A. (2023). Inflation spillovers among advanced and emerging economies: Evidence from the G20 group. Economies, 11(4), 126. https://doi.org/10.3390/economies11040126
  • Altissimo, F., Marchetti, DJ., & Oneto, GP. (2000). The Italian business cycle: Coincident and leading indicators and some stylized facts. Giornale degli Economisti e Annali di Economia, 60(2), 147-220
  • Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821. https://doi.org/10.2307/2951764
  • Andrews, D. W. K., & Ploberger, W. (1994). Optimal tests when a nuisance parameter is present only under the alternative. Econometrica, 62(6), 1383. https://doi.org/10.2307/2951753
  • Apergis, N., Gavriilidis, K., & Gupta, R. (2023). Does climate policy uncertainty affect tourism demand? Evidence from time-varying causality tests. Tourism Economics, 29(6), 1484–1498. https://doi.org/10.1177/13548166221110540
  • Arslanturk, Y., Balcilar, M., & Ozdemir, Z. A. (2011). Time-Varying linkages between tourism receipts and economic growth in a small open economy. Economic Modelling, 28(1- 2), 664-671. https://doi.org/10.1016/j.econmod.2010.06.003
  • Ashena, M., Laal Khezri, H., & Shahpari, G. (2024). Investigation into the dynamic relationships between global economic uncertainty and price volatilities of commodities, raw materials, and energy. Applied Economic Analysis, 32(94), 23-40. https://doi.org/10.1108/AEA-06-2023-0207
  • Atems, B., Kapper, D., & Lam, E. (2015). Do exchange rates respond asymmetrically to shocks in the crude oil market?. Energy Economics, 49, 227-238.
  • Athari, S. A., Kirikkaleli, D., Yousaf, I., & Ali, S. (2022). Time and frequency co‐movement between economic policy uncertainty and inflation: Evidence from Japan. Journal of Public Affairs, 22, e2779. https:// doi.org/10.1002/pa.2779
  • Baker, S., Bloom, N., & Davis, S. (2013). Measuring economic policy uncertainty. Chicago Booth Paper, No. 13-02. Balcilar, M., Ozdemir, Z. A., & Arslanturk, Y. (2010). Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics, 32(6), 1398–1410. https://doi.org/10.1016/j.eneco.2010.05.015
  • Balcilar, M., & Ozdemir, Z. A. (2013). Asymmetric and time‐varying causality between inflation and inflation uncertainty in G‐7 countries. Scottish Journal of Political Economy, 60(1),1-42. https://doi.org/10.1111/sjpe.12000
  • Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623-685.
  • Bloom, N., Bond, S., & Van Reenen, J. (2006). Uncertainty and investment dynamics. NBER Working Papers 12383, National Bureau of Economic Research
  • Brooks, C., & Hinich, M. J. (1998). Episodic nonstationarity in exchange rates. Applied Economics Letters, 5(11),719–722. https://doi.org/10.1080/135048598354203
  • Caggiano, G., Castelnuovo, E., & Groshenny, N. (2013). Uncertainty shocks and unemployment dynamics in U.S. recessions. Journal of Monetary Economics, 67, 78-92.
  • Caldara, D., Fuentes-Albero, C., Gilchrist, S., & Zakrajšek E. (2016). The macroeconomic impact of financial and uncertainty shocks. European Economic Review, 88, 185-207.
  • Carriere-Swallow, Y., & Cespedes, L. F. (2013). The impact of uncertainty shocks in emerging economies, Journal of International Economics, 90, 316–325.
  • Carroll, C. (1996). Buffer-Stock Saving and the life cycle/permanent income hypothesis. NBER Working Paper, No. 5788.
  • Caspi, I. (2017). Rtadf: Testing for bubbles with EViews. Journal of Statistical Software, Vol.81(Code Snippet 1), No. 1–16. https://doi.org/10.18637/jss.v081.c01
  • Clementi, F., Gallegati, M., & Gallegati, M. (2015). Growth and cycles of the Italian economy since 1861: The new evidence. Italian Economic Journal, 1, 25–59. https://doi.org/10.1007/s40797-014-0005-0
  • Colombo, V. (2013). Economic policy uncertainty in the US: Does it matter for the Euro Area? Economics Letters, 121(1), 39-42.
  • Coronado, S., Gupta, R., Nazlioglu, S., & Rojas, O. (2023). Time‐varying causality between bond and oil markets of the United States: Evidence from over one and half centuries of data. International Journal of Finance & Economics, 28(3), 2239–2247. https://doi.org/10.1002/ijfe.2534
  • FRED. (2023). Spot Crude oil price: West texas intermediate (WTI), Retrieved from https://fred.stlouisfed.org/series/WTISPLC
  • Gilchrist, S.,. Sim, J.W., & Zakrajšek, E. (2014). Uncertainty, Financial Frictions, and Investment Dynamics. NBER Working Papers 20038, National Bureau of Economic Research,
  • Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424. https://doi.org/10.2307/1912791
  • Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application., Applied Economics, 38(13), 1489–1500. https://doi.org/10.1080/00036840500405763
  • Hall, S. G., Tavlas, G. S, & Wang, Y. (2023). Drivers and spillover effects of inflation: The United States, the euro area, and the United Kingdom. Journal of International Money and Finance, 131, 102776. https://doi.org/10.1016/j.jimonfin.2022.102776
  • Istiak, K., Tiwari, A. K., Husain, H., & Sohag, K. (2021).The spillover of inflation among the G7 countries. Journal of Risk and Financial Management, 14(8), 392. https://doi.org/10.3390/jrfm14080392
  • Karagöl, V. (2023). Ekonomik politika belirsizliğinin gıda fiyatlarına etkisi seçilmiş ülkeler için zamanla değişen nedensellik analizi. İktisat Politikası Araştırmaları Dergisi, 10(2), 409–433. https://doi.org/10.26650/JEPR1212094
  • Keynes, J.M. (1937). The general theory of employment. Quarterly Journal of Economics, 51(2), 209–223.
  • Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99(3), 1053–1069.
  • Kocoglu, M., Kyophilavong, P., Awan, A., & Lim, S. Y. (2023). Time-varying causality between oil price and exchange rate in five ASEAN economies. Economic Change and Restructuring, 56(2), 1007–1031. https://doi.org/10.1007/s10644-022-09457-6
  • Leduc, S., & Liu, Z. (2016). Uncertainty shocks are aggregate demand shocks. Journal of Monetary Economics, 82, 20-35.
  • Marasanti, A., & Verico, K. (2024). The effect of uncertainty on inflation: Evidence in ASEAN. Journal of Developing Economies, 9(1), 143-157.
  • Nodari, G. (2014). Financial Regulation policy uncertainty and credit spreads in the US. Journal of Macroeceonomics, 41, 122-132.
  • OECD Data (2023). "Inflation (CPI)", Retrieved December 14, 2023, from https://data.oecd.org/price/inflation-cpi.htm
  • Paldam, M. (1987). Inflation and political instability in eight Latin American countries 1946-83: Abstract. Public Choice, 52(2), 143. https://doi.org/10.1007/BF00123874
  • Raggad, B., & Bouri, E. (2023). Gold and crude oil: A time-varying causality across various market conditions. Resources Policy, 86, 104273. https://doi.org/10.1016/j.resourpol.2023.104273
  • Ren, X., Li, J., He, F., & Lucey, B. (2023). Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests. Renewable and Sustainable Energy Reviews, 173, 113058. https://doi.org/10.1016/j.rser.2022.113058
  • Sek, S. K., Teo, X. Q., & Wong, Y. N. (2015). A comparative study on the effects of oil price changes on inflation. Procedia Economics and Finance, 26, 630–636. https://doi.org/10.1016/S2212-5671(15)00800-X
  • Tang, C. F. (2008). Wagner’s law versus Keynesian hypothesis: New evidence from recursive regression-based causality approaches. The IUP Journal of Public Finance, 6(4), 29–38.
  • Telatar, E., Telatar, F., Cavusoglu, T., & Tosun, U. (2010). Political instability, political freedom and inflation. Applied Economics, 42(30), 3839-3847.
  • Terzioglu, M.K. (2018). Effects of inflation uncertainty on economic policies: Inflation-Targeting regime, Chapters, In Soner Gokten & Guray Kucukkocaoglu (ed.) Financial Management from an Emerging Market Perspective, IntechOpen, 265-281
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1–2), 225–250. https://doi.org/10.1016/0304-4076(94)01616-8
  • Tümtürk, O., & Kırca, M. (2024). Belirsizliklerin enflasyon üzerindeki etkisinin zamanla değişen nedensellik yöntemiyle analizi: Türkiye örneği. Fiscaoeconomia, 8(1), 222-243. https://doi.org/10.25295/fsecon.1378532
  • World Uncertainty Index. (2023). World uncertainty index (WUI): Global. Retrieved from https://worlduncertaintyindex.com/data/, Accessed 11.06.2024.
  • Yang, T., Dong, Q., Du, M., & Du, Q. (2023). Geopolitical risks, oil price shocks and inflation: Evidence from a TVP–SV–VAR approach. Energy Economics, 127, 107099. https://doi.org/10.1016/j.eneco.2023.107099
  • Zakaria, M., Khiam, S., & Mahmood, H. (2021). Influence of oil prices on inflation in South Asia: Some new evidence. Resources Policy, 71, 102014. https://doi.org/10.1016/j.resourpol.2021.102014

DÜNYA BELİRSİZLİĞİNİN G7 VE F5 ÜLKELERİNİN ENFLASYON ORANLARI ÜZERİNDEKİ ZAMANLA DEĞİŞEN NEDENSELLİK ETKİSİ

Yıl 2025, Cilt: 21 Sayı: 1, 96 - 121, 26.03.2025

Öz

Bu çalışma, G7 ve F5 ülkelerinde belirsizliklikten enflasyona doğru olan nedensellik ilişkisini oldukça geniş bir veri seti kullanarak analiz etmektedir. Belirsizlikleri temsilen Ahir vd. (2018) tarafından geliştirilen Dünya Belirsizlik İndeksi verisi kullanılmıştır. Bu indeks, diğer ekonomi-bazlı belirsizlik indekslerinden hem ekonomik hem de politik belirsizliği içermesi bakımından ayrılmaktadır. Kullanılan modelde yer alan parametrelerin istikrarlı olmamasından dolayı, çalışmada zamanla değişen nedensellik analizi uygulanmıştır. Elde edilen sonuçlara göre, belirsizlikler enflasyon üzerinde tahmin gücüne sahiptir. İkinci olarak, politik belirsizlikler tarafından etkilenen fiyatlar en az ekonomik belirsizlikler tarafından etkilenen fiyat değişimleri kadar etkili olabilmektedir. Bu sonuca göre, istikrarlı bir politik çevre de enflasyon ile mücadelede gerekli olmaktadır. Üçüncü olarak, politika yapıcılar belirsizlik kaynağını başarılı şekilde tanımlayıp bunlara ilişkin politikalar geliştirseler dahi, belirsizliklerin yayılma özellikleri nedeniyle enflasyon ile mücadele yine de zor bir görev olabilmektedir. Son olarak, G7 ülkelerinde gözlemlenen nedensellik ilişkisi, nedensellik dönemlerinin F5 ülkelerine göre daha fazla sayıda olması nedeniyle daha güçlüdür. Bu sonuç, belirsizliklerin farklı gelişme evrelerinde farklı fiyat cevapları ürettiğini ortaya koymaktadır.

Kaynakça

  • Abakah, E. J. A., Tiwari, A. K., Adekoya, O. B., & Oteng-Abayie, E. F. (2023). An analysis of the time-varying causality and dynamic correlation between green bonds and US gas prices. Technological Forecasting and Social Change, 186, 122134. https://doi.org/10.1016/j.techfore.2022.122134
  • Ahira, H., Bloom, N., & Furceri, D. (2018). World uncertainty index. Retrieved from https://www.policyuncertainty.com/media/WUI_mimeo_10_29.pdf/. Accessed 31.05.2024.
  • Aisen, A., & Veiga, F. J. (2006). Does political instability lead to higher inflation? A panel data analysis. Journal of Money, Credit, and Banking, 38(5), 1379–32.
  • Alam, M. R. (2015). Economic policy uncertainty in the US: Does it matter for Canada?. Economics Bulletin, 35(4), 2725-2732.
  • Alam, M. R., & Istiak, K. (2020). Impact of US policy uncertainty on Mexico: Evidence from linear and nonlinear tests. Quarterly Review of Economics & Finance, 77, 355-366.
  • Alexopoulos, M., & Cohen, J. (2009). Uncertain times, uncertain measures. University of Toronto, Department of Economics Working Paper, No.325
  • Al-Nassar, N. S., & Albahouth, A. A. (2023). Inflation spillovers among advanced and emerging economies: Evidence from the G20 group. Economies, 11(4), 126. https://doi.org/10.3390/economies11040126
  • Altissimo, F., Marchetti, DJ., & Oneto, GP. (2000). The Italian business cycle: Coincident and leading indicators and some stylized facts. Giornale degli Economisti e Annali di Economia, 60(2), 147-220
  • Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821. https://doi.org/10.2307/2951764
  • Andrews, D. W. K., & Ploberger, W. (1994). Optimal tests when a nuisance parameter is present only under the alternative. Econometrica, 62(6), 1383. https://doi.org/10.2307/2951753
  • Apergis, N., Gavriilidis, K., & Gupta, R. (2023). Does climate policy uncertainty affect tourism demand? Evidence from time-varying causality tests. Tourism Economics, 29(6), 1484–1498. https://doi.org/10.1177/13548166221110540
  • Arslanturk, Y., Balcilar, M., & Ozdemir, Z. A. (2011). Time-Varying linkages between tourism receipts and economic growth in a small open economy. Economic Modelling, 28(1- 2), 664-671. https://doi.org/10.1016/j.econmod.2010.06.003
  • Ashena, M., Laal Khezri, H., & Shahpari, G. (2024). Investigation into the dynamic relationships between global economic uncertainty and price volatilities of commodities, raw materials, and energy. Applied Economic Analysis, 32(94), 23-40. https://doi.org/10.1108/AEA-06-2023-0207
  • Atems, B., Kapper, D., & Lam, E. (2015). Do exchange rates respond asymmetrically to shocks in the crude oil market?. Energy Economics, 49, 227-238.
  • Athari, S. A., Kirikkaleli, D., Yousaf, I., & Ali, S. (2022). Time and frequency co‐movement between economic policy uncertainty and inflation: Evidence from Japan. Journal of Public Affairs, 22, e2779. https:// doi.org/10.1002/pa.2779
  • Baker, S., Bloom, N., & Davis, S. (2013). Measuring economic policy uncertainty. Chicago Booth Paper, No. 13-02. Balcilar, M., Ozdemir, Z. A., & Arslanturk, Y. (2010). Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics, 32(6), 1398–1410. https://doi.org/10.1016/j.eneco.2010.05.015
  • Balcilar, M., & Ozdemir, Z. A. (2013). Asymmetric and time‐varying causality between inflation and inflation uncertainty in G‐7 countries. Scottish Journal of Political Economy, 60(1),1-42. https://doi.org/10.1111/sjpe.12000
  • Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623-685.
  • Bloom, N., Bond, S., & Van Reenen, J. (2006). Uncertainty and investment dynamics. NBER Working Papers 12383, National Bureau of Economic Research
  • Brooks, C., & Hinich, M. J. (1998). Episodic nonstationarity in exchange rates. Applied Economics Letters, 5(11),719–722. https://doi.org/10.1080/135048598354203
  • Caggiano, G., Castelnuovo, E., & Groshenny, N. (2013). Uncertainty shocks and unemployment dynamics in U.S. recessions. Journal of Monetary Economics, 67, 78-92.
  • Caldara, D., Fuentes-Albero, C., Gilchrist, S., & Zakrajšek E. (2016). The macroeconomic impact of financial and uncertainty shocks. European Economic Review, 88, 185-207.
  • Carriere-Swallow, Y., & Cespedes, L. F. (2013). The impact of uncertainty shocks in emerging economies, Journal of International Economics, 90, 316–325.
  • Carroll, C. (1996). Buffer-Stock Saving and the life cycle/permanent income hypothesis. NBER Working Paper, No. 5788.
  • Caspi, I. (2017). Rtadf: Testing for bubbles with EViews. Journal of Statistical Software, Vol.81(Code Snippet 1), No. 1–16. https://doi.org/10.18637/jss.v081.c01
  • Clementi, F., Gallegati, M., & Gallegati, M. (2015). Growth and cycles of the Italian economy since 1861: The new evidence. Italian Economic Journal, 1, 25–59. https://doi.org/10.1007/s40797-014-0005-0
  • Colombo, V. (2013). Economic policy uncertainty in the US: Does it matter for the Euro Area? Economics Letters, 121(1), 39-42.
  • Coronado, S., Gupta, R., Nazlioglu, S., & Rojas, O. (2023). Time‐varying causality between bond and oil markets of the United States: Evidence from over one and half centuries of data. International Journal of Finance & Economics, 28(3), 2239–2247. https://doi.org/10.1002/ijfe.2534
  • FRED. (2023). Spot Crude oil price: West texas intermediate (WTI), Retrieved from https://fred.stlouisfed.org/series/WTISPLC
  • Gilchrist, S.,. Sim, J.W., & Zakrajšek, E. (2014). Uncertainty, Financial Frictions, and Investment Dynamics. NBER Working Papers 20038, National Bureau of Economic Research,
  • Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424. https://doi.org/10.2307/1912791
  • Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application., Applied Economics, 38(13), 1489–1500. https://doi.org/10.1080/00036840500405763
  • Hall, S. G., Tavlas, G. S, & Wang, Y. (2023). Drivers and spillover effects of inflation: The United States, the euro area, and the United Kingdom. Journal of International Money and Finance, 131, 102776. https://doi.org/10.1016/j.jimonfin.2022.102776
  • Istiak, K., Tiwari, A. K., Husain, H., & Sohag, K. (2021).The spillover of inflation among the G7 countries. Journal of Risk and Financial Management, 14(8), 392. https://doi.org/10.3390/jrfm14080392
  • Karagöl, V. (2023). Ekonomik politika belirsizliğinin gıda fiyatlarına etkisi seçilmiş ülkeler için zamanla değişen nedensellik analizi. İktisat Politikası Araştırmaları Dergisi, 10(2), 409–433. https://doi.org/10.26650/JEPR1212094
  • Keynes, J.M. (1937). The general theory of employment. Quarterly Journal of Economics, 51(2), 209–223.
  • Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99(3), 1053–1069.
  • Kocoglu, M., Kyophilavong, P., Awan, A., & Lim, S. Y. (2023). Time-varying causality between oil price and exchange rate in five ASEAN economies. Economic Change and Restructuring, 56(2), 1007–1031. https://doi.org/10.1007/s10644-022-09457-6
  • Leduc, S., & Liu, Z. (2016). Uncertainty shocks are aggregate demand shocks. Journal of Monetary Economics, 82, 20-35.
  • Marasanti, A., & Verico, K. (2024). The effect of uncertainty on inflation: Evidence in ASEAN. Journal of Developing Economies, 9(1), 143-157.
  • Nodari, G. (2014). Financial Regulation policy uncertainty and credit spreads in the US. Journal of Macroeceonomics, 41, 122-132.
  • OECD Data (2023). "Inflation (CPI)", Retrieved December 14, 2023, from https://data.oecd.org/price/inflation-cpi.htm
  • Paldam, M. (1987). Inflation and political instability in eight Latin American countries 1946-83: Abstract. Public Choice, 52(2), 143. https://doi.org/10.1007/BF00123874
  • Raggad, B., & Bouri, E. (2023). Gold and crude oil: A time-varying causality across various market conditions. Resources Policy, 86, 104273. https://doi.org/10.1016/j.resourpol.2023.104273
  • Ren, X., Li, J., He, F., & Lucey, B. (2023). Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests. Renewable and Sustainable Energy Reviews, 173, 113058. https://doi.org/10.1016/j.rser.2022.113058
  • Sek, S. K., Teo, X. Q., & Wong, Y. N. (2015). A comparative study on the effects of oil price changes on inflation. Procedia Economics and Finance, 26, 630–636. https://doi.org/10.1016/S2212-5671(15)00800-X
  • Tang, C. F. (2008). Wagner’s law versus Keynesian hypothesis: New evidence from recursive regression-based causality approaches. The IUP Journal of Public Finance, 6(4), 29–38.
  • Telatar, E., Telatar, F., Cavusoglu, T., & Tosun, U. (2010). Political instability, political freedom and inflation. Applied Economics, 42(30), 3839-3847.
  • Terzioglu, M.K. (2018). Effects of inflation uncertainty on economic policies: Inflation-Targeting regime, Chapters, In Soner Gokten & Guray Kucukkocaoglu (ed.) Financial Management from an Emerging Market Perspective, IntechOpen, 265-281
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1–2), 225–250. https://doi.org/10.1016/0304-4076(94)01616-8
  • Tümtürk, O., & Kırca, M. (2024). Belirsizliklerin enflasyon üzerindeki etkisinin zamanla değişen nedensellik yöntemiyle analizi: Türkiye örneği. Fiscaoeconomia, 8(1), 222-243. https://doi.org/10.25295/fsecon.1378532
  • World Uncertainty Index. (2023). World uncertainty index (WUI): Global. Retrieved from https://worlduncertaintyindex.com/data/, Accessed 11.06.2024.
  • Yang, T., Dong, Q., Du, M., & Du, Q. (2023). Geopolitical risks, oil price shocks and inflation: Evidence from a TVP–SV–VAR approach. Energy Economics, 127, 107099. https://doi.org/10.1016/j.eneco.2023.107099
  • Zakaria, M., Khiam, S., & Mahmood, H. (2021). Influence of oil prices on inflation in South Asia: Some new evidence. Resources Policy, 71, 102014. https://doi.org/10.1016/j.resourpol.2021.102014
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Enflasyon
Bölüm Araştırma Makaleleri
Yazarlar

Oğuz Tümtürk 0000-0002-1935-0858

Mustafa Kırca 0000-0002-5630-7525

Erken Görünüm Tarihi 24 Mart 2025
Yayımlanma Tarihi 26 Mart 2025
Gönderilme Tarihi 18 Kasım 2024
Kabul Tarihi 10 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 21 Sayı: 1

Kaynak Göster

APA Tümtürk, O., & Kırca, M. (2025). TIME-VARYING CAUSALITY IMPACT OF WORLD UNCERTAINTY ON G7 AND F5 COUNTRIES’ INFLATION RATES. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 21(1), 96-121. https://doi.org/10.17130/ijmeb.1587254