Bayesian Vector Auto-Regression Method as an Alternative Technique for Forecasting South African Tax Revenue
نویسندگان
چکیده
منابع مشابه
Forecasting State Tax Revenue: A Bayesian Vector Autoregression Approach By
This paper compares alternative time-series models to forecast state tax revenues. Forecast accuracy is compared to a benchmark random walk forecast. Quarterly data for California is used to forecast total tax revenue along with its three largest components, sales, income, and corporate tax revenue. For oneand four-quarter-ahead forecasts from 2004 to 2009, Bayesian vector autoregressions gener...
متن کاملComparison 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 Corporate Alternative Minimum Tax as a State Revenue Source
T HE Federal Tax Reform Act of 1986 tivity bonds) no carryforward credit is replaced the add-on minimum tax apgenerated. plied to corporations with a new alterSome of the major AMT adjustments native minimum tax. Corporations must include depreciation deductions for propnow compute their tax liabilities under the erty subject to MACRS, which must be reordinary tax method at a 34 percent rate ca...
متن کاملSupport Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting
Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) ...
متن کاملLeast Square Support Vector Machines as an Alternative Method in Seasonal Time Series Forecasting
The least square support vector machines (LSSSVM) model is a novel forecasting approach and has been successfully used to solve time series problems. However, the applications of LSSVM model in a seasonal time series forecasting has not been widely investigated. This study aims at developing a LSSVM model to forecast seasonal time series data. To assess the effectiveness of this model, the airl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Southern African Business Review
سال: 2019
ISSN: 1998-8125
DOI: 10.25159/1998-8125/4416