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The impact of daily weather on retail sales: An empirical study in brick-and-mortar stores

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  • Badorf, Florian
  • Hoberg, Kai

Abstract

In this study, we examine the influence of weather on daily sales in brick-and-mortar retailing using empirical data for 673 stores. We develop a random coefficient model that considers non-linear effects and seasonal differences using different weather parameters. In the ex-post analysis using historic weather data, we quantify the explanatory power of weather information on daily sales, identify store-specific effects and analyze the influence of specific sales themes. We find that the weather has generally a complex effect on daily sales while the magnitude and the direction of the weather effect depend on the store location and the sales theme. The effect on daily sales can be as high as 23.1% based on the store location and as high as 40.7% based on the sales theme. We also find that the impact of extreme bad and good weather occurrences can be misestimated by traditional models that do not consider non-linear effects. In the ex-ante analysis, we analyze if weather forecasts can be used to improve the daily sales forecast. We show that including weather forecast information improves sales forecast accuracy up to seven days ahead. However, the improvement of the forecast accuracy diminishes with a higher forecast horizon.

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  • Badorf, Florian & Hoberg, Kai, 2020. "The impact of daily weather on retail sales: An empirical study in brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:joreco:v:52:y:2020:i:c:s0969698919303236
    DOI: 10.1016/j.jretconser.2019.101921
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    as
    1. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    2. Olga Perdikaki & Saravanan Kesavan & Jayashankar M. Swaminathan, 2012. "Effect of Traffic on Sales and Conversion Rates of Retail Stores," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 145-162, January.
    3. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    4. Beutel, Anna-Lena & Minner, Stefan, 2012. "Safety stock planning under causal demand forecasting," International Journal of Production Economics, Elsevier, vol. 140(2), pages 637-645.
    5. Vidya Mani & Saravanan Kesavan & Jayashankar M. Swaminathan, 2015. "Estimating the Impact of Understaffing on Sales and Profitability in Retail Stores," Production and Operations Management, Production and Operations Management Society, vol. 24(2), pages 201-218, February.
    6. Brian P. Poi, 2003. "From the help desk: Swamy's random-coefficients model," Stata Journal, StataCorp LP, vol. 3(3), pages 302-308, September.
    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. Fergus, James T, 1999. "Where, When, and by How Much Does Abnormal Weather Affect Housing Construction?," The Journal of Real Estate Finance and Economics, Springer, vol. 18(1), pages 63-87, January.
    9. Lukas Buchheim & Thomas Kolaska, 2017. "Weather and the Psychology of Purchasing Outdoor Movie Tickets," Management Science, INFORMS, vol. 63(11), pages 3718-3738, November.
    10. Flora Babongo & Patrik Appelqvist & Valérie Chavez-Demoulin & Ari-Pekka Hameri & Tapio Niemi, 2018. "Using weather data to improve demand forecasting for seasonal products," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 31(1), pages 53-76.
    11. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
    12. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    13. Murray, Kyle B. & Di Muro, Fabrizio & Finn, Adam & Popkowski Leszczyc, Peter, 2010. "The effect of weather on consumer spending," Journal of Retailing and Consumer Services, Elsevier, vol. 17(6), pages 512-520.
    14. Sebastian Steinker & Kai Hoberg & Ulrich W. Thonemann, 2017. "The Value of Weather Information for E-Commerce Operations," Production and Operations Management, Production and Operations Management Society, vol. 26(10), pages 1854-1874, October.
    15. Anett Weber & Winfried J. Steiner & Stefan Lang, 2017. "A comparison of semiparametric and heterogeneous store sales models for optimal category pricing," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 403-445, March.
    16. Martha Starr-McCluer, 2000. "The effects of weather on retail sales," Finance and Economics Discussion Series 2000-08, Board of Governors of the Federal Reserve System (U.S.).
    17. Verstraete, Gylian & Aghezzaf, El-Houssaine & Desmet, Bram, 2019. "A data-driven framework for predicting weather impact on high-volume low-margin retail products," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 169-177.
    18. Frank Youhua Chen & Candace Arai Yano, 2010. "Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty," Management Science, INFORMS, vol. 56(8), pages 1380-1397, August.
    19. Buchheim, Lukas & Kolaska, Thomas, 2016. "Weather and the Psychology of Purchasing Outdoor-Movie Tickets," Discussion Papers in Economics 26930, University of Munich, Department of Economics.
    20. Gauri, Dinesh K. & Ratchford, Brian & Pancras, Joseph & Talukdar, Debabrata, 2017. "An Empirical Analysis of the Impact of Promotional Discounts on Store Performance," Journal of Retailing, Elsevier, vol. 93(3), pages 283-303.
    21. Kris Johnson Ferreira & Bin Hong Alex Lee & David Simchi-Levi, 2016. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 69-88, February.
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