CORDIS Project
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This project develops advanced statistical methods for analyzing big time series data in economics, focusing on uncertainty quantification and impulse response functions. It aims to enhance economic decision-making by providing tools for interpreting complex data patterns.
Big time series data are commonplace in economics.
Their variety and sheer size provide nearly endless opportunities to improve economic decision making at European governments, companies and universities: amongst others, internet search data could shed light on consumer sentiment, social media provide opportunities for improving economic policy analysis, and high-frequency volatility data could be informative for financial risk analysis.
While the expansion of these Big Data sources bring possi…
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