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Macroeconomic Spillovers of Weather Shocks across U.S. States (2403.10907v2)
Published 16 Mar 2024 in econ.EM
Abstract: We estimate the short-run effects of severe weather shocks on local economic activity and cross-border spillovers operating through economic linkages between U.S. states. We measure weather shocks using emergency declarations triggered by natural disasters and estimate their impacts with a monthly Global Vector Autoregressive (GVAR) model for U.S. states. Impulse responses highlight country-wide effects of weather shocks hitting individual regions. Taking into account economic interconnections between states allows capturing much stronger spillovers than those associated with mere spatial adjacency. Also, geographical heterogeneity is critical for assessing country-wide effects of weather shocks, and network effects amplify the local impacts of shocks.
- Modelling the effects of climate change on economic growth: A Bayesian structural global vector autoregressive approach. Working Papers 2022.46, Fondazione Eni Enrico Mattei.
- Does uncertainty reduce growth? Using disasters as natural experiments. NBER Working Paper 19475, National Bureau of Economic Research.
- Barro, R. J. (2006). Rare disasters and asset markets in the twentieth century. Quarterly Journal of Economics, 121(3):823–866.
- Input specificity and the propagation of idiosyncratic shocks in production networks. The Quarterly Journal of Economics, 131(3):1543–1592.
- Batten, S. (2018). Climate change and the macro-economy: A critical review. Bank of England working papers 706, Bank of England.
- Tracking weekly state-level economic conditions. The Review of Economics and Statistics, pages 1–45.
- Benzie, M. (2021). Cross-border climate change impacts: Implications for the European Union. Regional Environmental Change, 19:763–776.
- The impact of climate on economic and financial cycles: A markov-switching panel approach. Technical report, arXiv preprint arXiv:2012.14693.
- The effect of winter weather on U.S. economic activity. Economic Perspectives, 39(1):1–20.
- Input linkages and the transmission of shocks: Firm-level evidence from the 2011 Tōhoku earthquake. The Review of Economics and Statistics, 101(1):60–75.
- FRED-SD: A real-time database for state-level data with forecasting applications. International Journal of Forecasting, 39(1):279–297.
- Weather-adjusting economic data. Brookings Papers on Economic Activity, Fall:227–260.
- Global non-linear effect of temperature on economic production. Nature, 527(7577):235–239.
- A conceptual framework for cross-border impacts of climate change. Global Environmental Change, 69:102307.
- Supply Chain Disruptions: Evidence from the Great East Japan Earthquake. The Quarterly Journal of Economics, 136(2):1255–1321.
- Fair weather or foul? The macroeconomic effects of El Niño. Journal of International Economics, 106:37–54.
- Catastrophic natural disasters and economic growth. Review of Economics and Statistics, 95(5):1549–1561.
- Temperature and growth: A panel analysis of the United States. Journal of Money, Credit and Banking, 51(2-3):313–368.
- Dynamic effects of weather shocks on production in European economies. CAMA Working Papers 2024-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- What do we learn from the weather? The new climate-economy literature. Journal of Economic Literature, 52(3):740–798.
- Exploring the international linkages of the euro area: A global VAR analysis. Journal of Applied Econometrics, 22(1):1–38.
- Long run macroeconomic relations in the global economy. Economics - The Open-Access, Open-Assessment E-Journal, 3:1–20.
- We are all in the same boat: Cross-border spillovers of climate shocks through international trade and supply chain. CESifo Working Paper Series 10402, CESifo.
- Climate risks and global value chains: The impact of the 2011 Thailand flood on Swedish firms. CEPR Discussion Papers 17855, C.E.P.R. Discussion Papers.
- Gourio, F. (2012). Disaster risk and business cycles. American Economic Review, 102(6):2734–66.
- Hsiang, S. (2016). Climate econometrics. Annual Review of Resource Economics, 8(1):43–75.
- The causal effect of environmental catastrophe on long-run economic growth: Evidence from 6,700 cyclones. NBER Working Papers 20352, National Bureau of Economic Research, Inc.
- IPCC (2023). Weather and climate extreme events in a changing climate, page 1513–1766. Cambridge University Press.
- Long-term macroeconomic effects of climate change: A cross-country analysis. Energy Economics, 104:105624.
- Regional and national monthly, seasonal, and annual temperature weighted by area, 1895-1983. Technical Report 3-4, National Climatic Data Center.
- Propagation of economic shocks through global supply chains—evidence from Hurricane Sandy. Review of International Economics, 29(5):1186–1220.
- Extreme weather and the macroeconomy. Working Paper 21-14, Federal Reserve Bank of Richmond.
- Climate change and economic activity: Evidence from U.S. states. Oxford Open Economics, 2:odac010.
- Natoli, F. (2023). The macroeconomic effects of temperature surprise shocks. Technical Report 1407, Bank of Italy.
- NOOA, National Centers for Environmental Information (2018). U.S. Billion-Dollar Weather and Climate Disasters. https://www.ncdc.noaa.gov/billions/, accessed April 7, 2018.
- Modeling regional interdependencies using a global error correcting macroeconometric model. Journal of Business and Economic Statistics, 22(2):129–62.
- Ramey, V. (2016). Macroeconomic shocks and their propagation. In Taylor, J. B. and Uhlig, H., editors, Handbook of Macroeconomics, volume 2, chapter 0, pages 71–162. Elsevier.
- Strömberg, D. (2007). Natural disasters, economic development, and humanitarian aid. Journal of Economic Perspectives, 21(3):199–222.
- The local economic impact of natural disasters. Working Paper Series 2020-34, Federal Reserve Bank of San Francisco.
- Clearing the fog: The effects of weather on jobs. FRBSF Economic Letter, 2016-29.
- Wilson, D. J. (2016). The impact of weather on local employment: Using big data on small places. Working Paper Series 2016-21, Federal Reserve Bank of San Francisco.
- Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both N and T are large. Journal of Econometrics, 146(1):118–134.
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