Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa

• Main Author: Molapo, Mojalefa Aubrey
• Other Authors: Olaomi, John
• Format: Others
• Language: en
• Published: 2018
• Subjects: Corporate income tax; Personal income tax; Total tax revenue; Forecasting; Bayesian Vector Autoregressive (BVAR); Error; Trend; Seasonal (ETS); Autoregressive moving Average (ARMA); Root mean squared error (RMSE); Autocorrelation; 519.542; Bayesian statistical decision theory; Vector automobile; Tax revenue estimating; Corporations > Taxation; Income tax; Standard deviations
• Online Access: Molapo, Mojalefa Aubrey (2017) Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa, University of South Africa, Pretoria, <http://hdl.handle.net/10500/25083>; http://hdl.handle.net/10500/25083

Statistics === M. Sc. (Statistics)