This research concentrates on using neural networks in the modelling and prediction of macroeconomic variables in specific. Macroeconomic predictors are particularly interested in neural networks because of their capacity to predict any linear or non-linear connection with a decent degree of...

All countries are trying their best to achieve maximum economic prosperity through employing efficient economic strategies. Countries seem to be conscious of various factors that can potentially affect economic growth. Given that, the current study examines the impact of various macroeconomic...

This research discovers how international tourism affects the economic growth of selected Asian states, e.g., Bangladesh, China, India, Pakistan, and Sri Lanka, throughout 2001-2019. To attain this objective, we have employed various regression estimation approaches, e.g., Fixed Effect Model...

The goal of this study is to use the Markov Regime Model (MSM) to evaluate the impact of three important FCIs and the political economy on Pakistan's economic growth. The current research used quarterly data from 2000 to 2020. The empirical results demonstrate that dictatorship contributes...