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

Statistics === M. Sc. (Statistics)

Bibliographic Details
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

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spelling	ndltd-netd.ac.za-oai-union.ndltd.org-unisa-oai-uir.unisa.ac.za-10500-250832018-11-30T04:18:03Z Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa Molapo, Mojalefa Aubrey Olaomi, John 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 Statistics M. Sc. (Statistics) 2018-11-28T11:27:12Z 2018-11-28T11:27:12Z 2017-02 2018-11 Dissertation 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 en 1 online resource (x, 134 leaves) : color illustrations, color graphs
collection	NDLTD
language	en
format	Others
sources	NDLTD
topic	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
spellingShingle	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 Molapo, Mojalefa Aubrey Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa
description	Statistics === M. Sc. (Statistics)
author2	Olaomi, John
author_facet	Olaomi, John Molapo, Mojalefa Aubrey
author	Molapo, Mojalefa Aubrey
author_sort	Molapo, Mojalefa Aubrey
title	Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa
title_short	Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa
title_full	Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa
title_fullStr	Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa
title_full_unstemmed	Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa
title_sort	employing bayesian vector auto-regression (bvar) method as an altenative technique for forecsating tax revenue in south africa
publishDate	2018
url	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
work_keys_str_mv	AT molapomojalefaaubrey employingbayesianvectorautoregressionbvarmethodasanaltenativetechniqueforforecsatingtaxrevenueinsouthafrica
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Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa

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