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Books Like Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies
If you liked Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies by Kamil Dybczak, Morgan Maneely, Marzie Taheri Sanjani, and Nujin Suphaphiphat, start with Household Savings in Selected Southern European Countries Evidence from Cross-Country Micro-Level Data (2023), Economic Scarring (2022), and Output Gap in Presence of Financial Frictions and Monetary Policy Trade-Offs (2014). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.
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What should I read after Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies?
BookOrb recommends Household Savings in Selected Southern European Countries Evidence from Cross-Country Micro-Level Data (2023), Economic Scarring (2022), Output Gap in Presence of Financial Frictions and Monetary Policy Trade-Offs (2014), Causes and Consequences of Income Inequality (2015), and Fiscal Implications of Government Wage Bill Spending (2019).
Are there books like Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies?
Yes. The list on this page is ranked from the closest matches BookOrb has for Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies.
Who wrote Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies?
Nowcasting GDP - a Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies is by Kamil Dybczak, Morgan Maneely, Marzie Taheri Sanjani, and Nujin Suphaphiphat.