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Easydata-MD: A Monthly Dataset for Macroeconomic Research on Pakistan

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dc.contributor.author Ateeb Akhter Shah Syed
dc.contributor.author Hassan Raza
dc.contributor.author Mohsin Waheed
dc.date.accessioned 2024-11-26T06:47:22Z
dc.date.available 2024-11-26T06:47:22Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/17599
dc.description PP. 28. ill; en_US
dc.description.abstract This paper introduces the monthly State Bank of Pakistan’s EasyData, for conducting empirical macroeconomic analysis and forecasting for Pakistan's economy. For this purpose. We perform a forecasting exercise using the conventional econometric models and the most recent machine-learning algorithms. We find that the machinelearning models outperform the benchmark and regression models based on observed factors. Furthermore, the dataset has a higher ability to predict the external variables, a possible outcome of Pakistan's economy and its persistent balance of payment problem. The focus of policy has been to address this issue. en_US
dc.language.iso en en_US
dc.publisher © Lahore School of Economics Vol.28, Issue 1, 2023 en_US
dc.subject Research on Pakistan en_US
dc.title Easydata-MD: A Monthly Dataset for Macroeconomic Research on Pakistan en_US
dc.type Article en_US


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