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2016 | 51 | 36-46
Article title

Influence of selected factors on the volume of consumption (per capita) of Uruguay - in the sense of Granger causality

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The project will be tested State Uruguay. The country is characterized by political stability, economic attractiveness of tax-free zones for investors, and also has a good infrastructure, communication network, as well as one of the best education systems in their continent. The aim of the study is to verify whether the selected factors affect the volume of consumption (per unit) in Uruguay. Selected factors are investment (per capita), imports (per capita), exports (per capita), government spending (per capita) and the level of consumer prices. Individual data are annual data, and analysis period in the years 1950-2009. Audit of Granger causality indicates that the inclusion of the individual regression equations delayed variables can better explain and predict the evolution of the size of consumption in Uruguay.
Physical description
  • Faculty of Economics and Management, Nicolaus Copernicus University, 13a Gagarina Str., 87-100 Toruń, Poland
  • Faculty of Economics and Management, Nicolaus Copernicus University, 13a Gagarina Str., 87-100 Toruń, Poland
  • [1] C.W.J. Granger, (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424-438.
  • [2] C.W.J. Granger, R. Joyeux, (1980). An introduction to long-memory time series models and fractional differencing. Journal of Time Series Analysis 1, 15-30.
  • [3] D.A. Pierce, L.D. Haugh, (1977). Causality In temporal systems. Characterization and a survey. Journal of Econometrics 5(3), 265-293.
  • [4] A.L. Mohamed Aslam, (2016). Budget Deficit and Economic Growth in Sri Lanka: An Econometric Dynamic Analysis, World Scientific News 46, 176-188.
  • [5] M. Osińska, (2008). Ekonometryczna analiza zależności przyczynowych, Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika w Toruniu, p. 65.
  • [6] M. Osińska. W Orzeszko, (2007). Analiza przyczynowości w zakresie zależności nieliniowych: implikacje finansowe. Zeszyty Naukowe Uniwersytetu Szczecińskiego Finanse, Rynki Finansowe, Ubezpieczenia 6, 151.
  • [7] E.M. Syczewska, (2014). Przyczynowość w sensie grangera – wybrane metody. Metody ilościowe w badaniach ekonomicznych, t. XV/4, p. 179-181.
  • [8] K.S. Im, M.H. Pesaran, Y. Shin, (1997). Testing for Unit Roots in heterogeneous Panels. Journal of Economics 3(115), 53-74
  • [9] S. Gędek, (2010). Analiza współzależności cen produktów rolnych. Rocznik Nauk Rolniczych 97(3), 93.
  • [10] D.A. Dickey, W.A. Fuller, (1981). Likelihood Ratio Statistic for Autoregressive Time Series with a Unit Root. Econometrica 49(4), 1057-1072.
  • [11] M. Osińska, Ekonometria finansowa, Polskie Wydawnictwo Ekonomiczne, Warszawa 2006, p. 212.
  • [12] M. Kośko, M. Osińska, J. Stempińska, (2007). Ekonometria wpółczesna, pod red. nauk. M. Osińskiej, Wydawnictwo Dom Organizatora, p. 306.
  • [13] D.A. Dickey, 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.
  • [14] J. Geweke, R. Meese, W. Dent, (1983). Comparing Alternative Testes for Causality In Temporal Systems: Analitic results and experimental evidence, Journal of Econometrics 21, 161-194.
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