Forecasting Indian Goods and Services Tax revenue using TBATS, ETS, Neural Networks, and hybrid time series models

Forecasting Indian Goods and Services Tax revenue using TBATS, ETS, Neural Networks, and hybrid time series models

AbstractThis study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax (GST), which plays a pivotal role in fiscal spending and taxation policymaking. Practically, the GST time series datasets exhibit linear and non-linear fluctuations due to the...

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Bibliographic Details
Main Authors: P.V. Thayyib, Muhammed Navas Thorakkattle, Faisal Usmani, Ali T Yahya, Najib H.S Farhan
Format: Article
Language:English
Published: Taylor & Francis Group 2023-10-01
Series:Cogent Economics & Finance
Subjects:
Non-linear models
Neural Networks
forecasting
TBATS
hybrid models
Hybrid Theta-TBATS
Online Access:https://www.tandfonline.com/doi/10.1080/23322039.2023.2285649

Internet

https://www.tandfonline.com/doi/10.1080/23322039.2023.2285649

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