INFLATION DYNAMICS IN THE USA AND EU: VAR ANALYSIS AND FORECASTING

  • Danica Cicmil Faculty of Economics Subotica
Keywords: VAR, inflation, forecastig

Abstract


This paper aims to analyze the relationship between the inflation rate in the USA and the inflation rate in the EU and to make short-term forecasts of their future movements. The Vector Autoregression (VAR) model was used to study the dynamic relationships among multiple variables. The VAR model was fitted on the data with a maximum lag of 5, and the diagnostic checks were performed to ensure it was correctly specified. The results are presented and discussed and the paper concludes by suggesting that future research should focus on addressing the problem of non-stationarity in the residuals and on testing the robustness of the model.

References

Aleem, A., & Lahiani, A. (2014). A threshold vector autoregression model of exhcange rate pass-through in Mexico. Research in International Business and FInance, 24-33.

Al-Oshaibat, S. D., & Banikhalid, H. (2019). The Impact of Bank Credit on Inflation in Jordan by using Vector Regression Model. International Business Research.

Aoki, M. (2011). Econometrics of Financial High-Frequency Data. Springer.

Baltagi, B. (2020). Econometrics 8th Edition. Springer.

Brandt, P., & Sandler, T. (2017). A Bayesian POisson Vector Autoregression Model. Cambrige University Press, 292-315.

Brockwell, P., & Davis, R. (2016). Introduction to Time Series and Forecasting. Spring.

Davis, R., Zang, P., & Zheng, T. (2013). Sparse Vector Autoregressive Modeling. Temporal Data Analysis.

Dinh, D. V. (2020). Impulse Response of Inflation to Economic Growth Dynamics: VAR Model Analysis. The Journal of Asian Finance, Economics and Business, 219-228.

Dodhe, Y. (2010). The Concise Encyclopedia of Statistics. Springer.

Ferrentino, R., & Vota, L. (2019). A structural vector autoregression model for the study of the Japanese GDP and of the Japanese inflation. Advances in Management and Applied Economics, 1-6.

French, J. (2016). Applied TIme Series Analysis with R. Chapman and Hall.

Ha, J., Stocker, M., & Yilmazkuday, H. (2020). Inflation and exchange rate pass-through. Journal of International Money and FInance.

Halsbeck, J., Bringmann, L., & Waldorp, L. (2020). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research, 120-149.

Hashimzade, N., & Thornton, M. (2015). Handbook of Research Methods and Applications in Empirical Maxroeconomics.

Haslbeck, J., Bringmann, L., & Waldorp, L. (2021). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research, 120-149.

Holden, K. (1995). Vector auto regression modeling and forecasting. Journal of Forecasting, 159-166.

Idah, Z., Kusuma, H., & Syela, K. (2017). An approach of Vector Autoregression Model for inflation analysis in Indonesia. Journal of Economics, Business and Accountancy Ventra, 261-268.

Iyer, T., & Gupta, A. (2019). Quarterly Forecasting Model for India'a Economic Growth: Bayesian Vestor Autoregression Approach. Asian Development Bank Economics Working Paper.

Karlsson, S., Mazur, S., & Nguyen, H. (2023). Vilnius Gediminas Technical University. Vilnius Gediminas Technical University.

Khan, F., Saeed, A., & Ali, S. (2020). Modelling and forecasting of new cases, deaths and recover cases of COVID-19 by using Vector Autoregressive model in Pakistan. Elsevier.

Luetkepohl, H. (2006). Structural vector autoregressive analysis for cointegrated variables. Modern Econometric Analysis, 73-86.

McKinney, W. (2012). Python for Data Analysis. O'Reilly Media.

Phillips, P. C. (2001). Unit Root Tests in Time Series Analysis. Handbook of Econometrics.

Russel, E., Pratama, D., Wamiliana, W., & Usman, M. (2022). Analysis of data inflation energy and gasoline price by vector autoregressive model. International Journal of Energy Economics and Policy, 120-126.

Sasongko, G., & Huruta, A. (2019). The casuality between inflation and unemployment: The Indonesian Evidence. Vilnius Gediminas Technical University.

Schwarz, G. (1978). Bayesian Information Criterion. Journal of the American Statistical Association.

Sumarminingsih, E., Suharsono, A., Ruchjana, B., & Stiawan. (2019). Modeling Inflation and Money Suplly using spatial VAR with calendar variation: restrickted vs non-restrickted coefficient. IOP Conference Series: Materials Science and Engineering.

Suresh, B., & Jithin, P. (2020). Testing for the Effectivness of Inflation Targeting in India: A Factor Augmented Vector Autoregression (FAVR) Approach. Journal of Central Banking Theory and Practice, 163-182.

Thac, N. N. (2018). Impact of the World Oil Price on the Inflation on Vietnam: A Structural Vector Autoregression Approach. International Econometric Conference of Vietnam, 694-708.

Usman, M., Paujiah, S., Russel , E., Nairobi, N., & Pratama, D. (2022). Analysis of Data Inflation Energy and Gasoline Price by Vector Autoregressive Model. International Journal of Energy Economics and Policy, 120-126.

Zivot, E., & Wang, J. (2006). Modeling Financial Time Series with S-PLUS. Springer.

Published
2024/04/17
Section
Original Scientific Paper