This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax … non-compliance, posing challenges for accurate forecasting. Traditional time-series forecasting methods like ARIMA …, assuming linearity, often yield inaccurate results. To address this, we explore alternative forecasting models, including …

variables. Hence, both the fiscal and the monetary authorities have developed aggregate forecasting models, along the lines … over-fit in sample, we assess their performance in a real time forecasting framework. It turns out that for several … forecasting and modeling EMU variables. …

, which should be manifested, possibly with a lag, in both producer and consumer prices. We build a forecasting model based on …

increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South … competing model consistently and significantly beats the LoLiMoT's performance in forecasting South African inflation. …

increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South … consistently and signicantly beats the LoLiMoT's performance in forecasting South African in ation. …

This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax … non-compliance, posing challenges for accurate forecasting. Traditional time-series forecasting methods like ARIMA …, assuming linearity, often yield inaccurate results. To address this, we explore alternative forecasting models, including …