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Prediction of macroeconomic variables of Pakistan: Combining classic and artificial network smoothing methods
(Elsevier B.V., 2023)
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 ...
Asymmetries in climate change and livestock productivity: non-linear evidence from autoregressive distribution lag mode
(Frontiers Media SA, 2023)
Introduction: The livestock sector is extremely important to Socioeconomic growth in Pakistan, yet it is also quite vulnerable to weather changes. Climate change reduces livestock production by changing ecosystem services ...
How does economic policy uncertainty influence the innovation activities: Empirical evidence from BRICS
(Elsevier B.V., 2023-12)
This study investigates the relationship between Economic Policy Uncertainty (EPU) and innovation activities within the context of the BRICS countries (Brazil, Russia, India, China, and South Africa) over the period from ...