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Sellin' in the Rain: Weather, Climate, and Retail Sales

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Abstract

I apply a novel machine-learning based “weather index” method to daily store- level sales data for a national apparel and sporting goods brand to examine short-run responses to weather and long-run adaptation to climate. I find that even when considering potentially offsetting shifts of sales between outdoor and indoor stores, to the firm's website, or over time, weather has significant persistent effects on sales. This suggests that weather may increase sales volatility as more severe weather shocks be- come more frequent under climate change. Consistent with adaptation to climate, I find that sensitivity of sales to weather decreases with historical experience for precipitation, snow, and cold weather events, but-surprisingly-not for extreme heat events. This suggests that adaptation may moderate some but not all of the adverse impacts of climate change on sales. Retailers can respond by adjusting their staffing, inventory, promotion events, compensation, and financial reporting.

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  • Brigitte Roth Tran, 2022. "Sellin' in the Rain: Weather, Climate, and Retail Sales," Working Paper Series 2022-02, Federal Reserve Bank of San Francisco.
    • Handle: RePEc:fip:fedfwp:93659
    DOI: 10.24148/wp2022-02
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    1. Solomon M. Hsiang & Daiju Narita, 2012. "Adaptation To Cyclone Risk: Evidence From The Global Cross-Section," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-28.
    2. Martínez-de-Albéniz, Victor & Belkaid, Abdel, 2021. "Here comes the sun: Fashion goods retailing under weather fluctuations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 820-830.
    3. Joshua Graff Zivin & Matthew Neidell, 2014. "Temperature and the Allocation of Time: Implications for Climate Change," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 1-26.
    4. Nathan W. Chan & Casey J. Wichman, 2020. "Climate Change and Recreation: Evidence from North American Cycling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(1), pages 119-151, May.
    5. Herrnstadt, Evan & Muehlegger, Erich, 2014. "Weather, salience of climate change and congressional voting," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 435-448.
    6. Aditya Aladangady & Shifrah Aron-Dine & Wendy E. Dunn & Laura Feiveson & Paul Lengermann & Claudia R. Sahm, 2016. "The Effect of Hurricane Matthew on Consumer Spending," FEDS Notes 2016-12-02, Board of Governors of the Federal Reserve System (U.S.).
    7. Bertrand, Jean-Louis & Brusset, Xavier & Fortin, Maxime, 2015. "Assessing and hedging the cost of unseasonal weather: Case of the apparel sector," European Journal of Operational Research, Elsevier, vol. 244(1), pages 261-276.
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Levy, Ori & Galili, Itai, 2008. "Stock purchase and the weather: Individual differences," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 755-767, September.
    10. Michael Conlin & Ted O'Donoghue & Timothy J. Vogelsang, 2007. "Projection Bias in Catalog Orders," American Economic Review, American Economic Association, vol. 97(4), pages 1217-1249, September.
    11. Tatyana Deryugina & Solomon Hsiang, 2017. "The Marginal Product of Climate," NBER Working Papers 24072, National Bureau of Economic Research, Inc.
    12. Justin Bloesch & François Gourio, 2015. "The Effect of Winter Weather on U.S. Economic Activity," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I.
    13. Miia Parnaudeau & Jean-Louis Bertrand, 2018. "The contribution of weather variability to economic sectors," Applied Economics, Taylor & Francis Journals, vol. 50(43), pages 4632-4649, September.
    14. Laura A. Bakkensen & Robert O. Mendelsohn, 2016. "Risk and Adaptation: Evidence from Global Hurricane Damages and Fatalities," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 555-587.
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    Cited by:

    1. Brigitte Roth Tran, 2022. "The Impact of Weather on Retail Sales," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2022(23), pages 1-5, August.

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    More about this item

    Keywords

    adaptation; climate change; weather; machine learning; retail; sales;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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