Accuracy of Bayesian VAR in forecasting the economy of Indiana
نویسندگان
چکیده
This paper develops a forecasting model for important macroeconomic variables in the state of Indiana. In this study, we specify a Bayesian Vector Autoregression (BVAR) model with Litterman’s prior. A comparison with the Vector Autoregression (VAR) model shows that BVAR improves forecast by reducing root mean square
منابع مشابه
Comparison of Neural Network Models, Vector Auto Regression (VAR), Bayesian Vector-Autoregressive (BVAR), Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) Process and Time Series in Forecasting Inflation in Iran
This paper has two aims. The first is forecasting inflation in Iran using Macroeconomic variables data in Iran (Inflation rate, liquidity, GDP, prices of imported goods and exchange rates) , and the second is comparing the performance of forecasting vector auto regression (VAR), Bayesian Vector-Autoregressive (BVAR), GARCH, time series and neural network models by which Iran's inflation is for...
متن کاملThe Role of Oil Revenue Shocks in Iranian Economy, A TVP- VAR Approach
In this paper, we analyze the effects of oil revenue shocks on different sectors of the Iranian economy. We use quarterly data of the Iranian economy from 1988:2 to 2011:1 to analyze a time-varying parameter VAR model with the Bayesian method. The results show that in the late 1980s and early 1990s, the positive effects of oil revenue were mostly emerged in the industrial and oil sectors, havin...
متن کاملBayesian Models for Tourism Demand Forecasting
This study extends the existing forecasting accuracy debate in the tourism literature by examining the forecasting performance of various vector autoregressive (VAR) models. In particular, this study seeks to ascertain whether the introduction of the Bayesian restrictions (priors) to the unrestricted VAR process would lead to an improvement in forecasting performance in terms of achieving a hig...
متن کاملImplications of Cointegration for Forecasting: A Review and an Empirical Analysis
Cointegration has different theoretical implications for forecasting. Several empirical studies have compared the out of sample forecasting performance of cointegrted VECMs against unrestricted VARs in levels and in differences. The results of these studies have been generally mixed and inconclusive. This paper provides a comprehensive review over the subject, and also examines the effects...
متن کاملBayesian Methods of Forecasting Inventory Investment in South Africa
This paper develops a Bayesian Vector Error Correction Model (BVECM) for forecasting inventory investment in South Africa. The model is estimated using quarterly data on actual sales, production, unfilled orders, price levels and interest rates, for the period of 1978 to 2000. The out-of-sample-forecast accuracy obtained from the BVECM, over the forecasting horizon of 2001:1 to 2003:4, is compa...
متن کامل