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Curb appeal: how temporary weather patterns affect house prices

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  • Patrick Gourley

    (University of New Haven)

Abstract

For decades, economists have examined the myriad variables that affect real estate value, from individual house characteristics to neighborhood amenities. Yet one variable, weather, has attracted little attention thus far. This is true despite widespread agreement that much of a home’s value rests on curb appeal, or how a home looks from the street, which could significantly change based on weather. Given that housing stock is the main store of wealth for many households, it is important to understand what impact climate can have on asset value. I utilize a large data set that comprises 185,000 sales of 96,000 single-family homes to ascertain the effect of various weather conditions on house prices. By using a fixed effects framework that isolates intra-property price changes, time-invariant omitted variable bias is accounted for, and the causal effect of weather on home prices can plausibly be determined. In the winter, the results indicate cold weather is associated with an increase in price. In the summer, precipitation affects price, but the sign and magnitude of the impact depend on the temperature. The magnitudes are small but highly statistically significant. These results show that home buyers and sellers are affected by temporary weather conditions.

Suggested Citation

  • Patrick Gourley, 2021. "Curb appeal: how temporary weather patterns affect house prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 107-129, August.
  • Handle: RePEc:spr:anresc:v:67:y:2021:i:1:d:10.1007_s00168-020-01042-x
    DOI: 10.1007/s00168-020-01042-x
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    Cited by:

    1. Renee van Eyden & Geoffrey Ngene & Oguzhan Cepni & Rangan Gupta, 2022. "The Heterogeneous Impact of Temperature Growth on Real House Price Returns across the US States," Working Papers 202236, University of Pretoria, Department of Economics.
    2. Michele Cascarano & Filippo Natoli, 2023. "Temperatures and search: evidence from the housing market," Temi di discussione (Economic working papers) 1419, Bank of Italy, Economic Research and International Relations Area.
    3. Sam Il Myoung Hwang & Leo Ma, 2023. "Top‐floor discounts in residential buildings: Evidence from South Korea," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 441-469, March.
    4. Elie Bouri & Rangan Gupta & Hardik A. Marfatia & Jacobus Nel, 2022. "Do Climate Risks Predict US Housing Returns and Volatility? Evidence from a Quantiles-Based Approach," Working Papers 202240, University of Pretoria, Department of Economics.

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    More about this item

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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