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

Description

Statistics / M. Sc. (Statistics)

Links & Downloads

1. 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>
2. http://hdl.handle.net/10500/25083

Tags

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

Additional Fields

Identifer	oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/25083
Date	11 1900
Creators	Molapo, Mojalefa Aubrey
Contributors	Olaomi, John
Source Sets	South African National ETD Portal
Language	English
Detected Language	English
Type	Dissertation
Format	1 online resource (x, 134 leaves) : color illustrations, color graphs