Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Previous works have reached widely divergent conclusions on the macroeconomic relevance of uncertainty shocks. We show that this disagreement reflects identification problems linked to the use of financial data in low-frequency VAR models. To bypass this difficulty, we identify uncertainty shocks using daily data and use their monthly averages as instruments in VARs. This novel identification approach captures within-month interactions between uncertainty and asset prices, providing a full picture of the pivotal role of financial markets in propagating uncertainty to the real economy. Once these interactions are accounted for, the disagreement disappears: uncertainty shocks have a small but significant impact on economic activity across specifications and identification schemes.