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This paper introduces structured machine learning regressions for prediction and nowcasting with panel data consisting … series panel data structures and we find that it empirically outperforms the unstructured machine learning methods. We obtain … oracle inequalities for the pooled and fixed effects sparse-group LASSO panel data estimators recognizing that financial and …
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This paper documents macroeconomic forecasting during the global financial crisis by two key central banks: the European Central Bank and the Federal Reserve Bank of New York. The paper is the result of a collaborative effort between the two institutions, allowing us to study the time-stamped...
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We introduce easy to implement regression-based methods for predicting quarterly real economic activity that use daily financial data. Our analysis is designed to elucidate the value of daily information and provide real-time forecast updates of the current (nowcasting) and future quarters. Our...
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