Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper proposes a new methodological approach using high-frequency data and local projections to assess the impact of weather on agricultural production. Local projections capture both immediate and delayed effects across crop types and growth stages, while providing early warnings for food shortages. Adverse weather shocks, such as excess heat or rain, consistently lead to delayed downturns in production, with heterogeneous effects across time, crops, and seasons. We build a new index of aggregate weather shocks that accounts for the typical delay between event occurrence and economic recognition, finding that these shocks are recessionary at the macroeconomic level, reducing inflation, production, exports and exchange rates.