Theoretical and Applied Economics
No. 10 / 2011 (563)
Econometric Modeling of GDP Time Series
Bucharest Academy of Economic Studies
Elena BUGUDUI
“Artifex” University of Bucharest
Abstract. Article aims of time series econometric model of macroeconomic variable GDP in the US economy. Because that is a nonstationary time series, there are used several statistical tests in order to turn into a stationary series. After applying these tests, the time series became stationary and integrated of order I; thus, we use Box-Jenkins procedure for the determination of ARMA. We estimate by OLS the parameters of various models. Performances chosen ARIMA model (1,1,1) are verified on the basis of classical statistical tests and forecasting.
Contents
Optimal Licensing Contracts with Three Innovation Types
Novelties in Competition Regulation in Romania. Impact on Competitors
A Cause and Effect Analysis of University – Business Cooperation for Regional Innovation in Romania
Moldavia and Maramureş – Micro-destinations for Relaunching the Romanian Tourism
Corporate Social Responsibility – between Desideratum and Reality
Identification of Critical Points in the Quality Management System
Econometric Modeling of GDP Time Series
Impact of Institutional Credit on Agricultural Output: A Case Study of Pakistan
The Management of Waste Containing Asbestos in Romania and the European Union
Technological Innovation: Concept, Process, Typology and Implications in the Economy