Czasopismo
Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
The article aims at determining the inflation influence between Poland and selected EU member states. Although for some time the general inflation level in those countries was definitely controllable, the problem seems to be returning. That is why in this article, using the model of Vector Auto Regression (VAR) and Granger causality test, we are attempting to determine inflation influences on Poland. The study confirmed the impact of the selected countries on Polish inflation, expressed the general HICP index. However, in the case of Germany, the method has not proved the existence of such interactions. For this reason, it is made an attempt to clarify the reasons for non-compliance findings with data showing Germany as a Polish main trading partner for more than two decades. The authors try to show that lack of influence can be seen in the excessive generality of the main HICP index and predict that the chosen method confirm the effect of foreign trade indices in the HICP. (original abstract)
Twórcy
autor
- Wrocław University of Economics, Poland
autor
- Wrocław University of Economics, Poland
Bibliografia
- Box, G. E. P., Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. San Francisco: Holden- Day.
- Charemza, W. W., Deadman, D. A. (1992). New Direction in Econometric Practice. Hants: Edward Elgar.
- Commission Regulation, (2001). (EC) No 1749/96 of 9 September 1996 on initial implementing measures for Council Regulation (EC) No 2494/95 concerning harmonized indices of consumer prices in: Office for Official Publications of the European Communities, Compendium of HICP reference documents (2/2001/B/5), Luxemburg.
- Diewert, E. (2002). Harmonized Indexes of Consumer Prices: Their Conceptual Foundations. Working Paper Series Working Paper 130. European Central Bank March. Retrieved from: http://www.ecb.int/stats/prices/hicp/html/hicp_coicop_inw_000000.4.U2W.en.html.
- Enders, W. (1995). Applied Econometric Time Series. New York: John Wiley & Sons, Inc.
- Geweke, J., Meese, R., Dent, W. (1983). Comparing Alternative Tests of Causality in Temporal System. Journal of Econometrics, 21, 161 -194.
- Główny Urząd Statystyczny (2010). Rocznik statystyczny handlu zagranicznego. Komisja Europejska> Sprawy Gospodarcze i Finansowe> Focus on> Inflacja w centrum uwagi 2011. Retrieved from: http://ec.europa.eu/economy_finance/focuson/inflation/measuring_pl.htm.
- Kufel, T. (2007). Ekonometria. Rozwiązywanie problemów z wykorzystaniem programu GRETL. Warszawa: Wydawnictwo Naukowe PWN.
- Kusideł, E. (2001). Modele wektorowo- autoregresyjne VAR. Metodologia i zastosowania. In: B. Suchecki (ed.), Dane panelowe i modelowanie wielowymiarowe w badaniach ekonomicznych. Volume 3. Łódź: Wyd. Absolwent.
- Maddala, G. S. (2006). Ekonometria. Warszawa: Wydawnictwo Naukowe PWN.
- Pesaran, M., Pesaran, H. B. (1997). Working with Microfit 4.0. New York: Oxford University Press.
- Piłatowska, M. (1997). Alternatywne metody eliminacji trendu a interpretacja modelu ekonomicznego. Materiały na IV Ogólnopolskie Seminarium Naukowe w Toruniu. Katedra Ekonometrii i Statystyki UMK.
- Wynne, M. A., Rodriguez-Palenzuela, D. (2002). Measurement Bias in the HICP: What Do We Know, and What Do We Need to Know? Working Paper no. 131. Working Paper Series. European Central Bank.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171296641