IDEAS home Printed from https://ideas.repec.org/a/aea/aerins/v1y2019i3p373-88.html
   My bibliography  Save this article

Clearing the Fog: The Predictive Power of Weather for Employment Reports and Their Asset Price Responses

Author

Listed:
  • Daniel J. Wilson

Abstract

This paper exploits vast granular data—with over one million county-month observations—to estimate a dynamic panel data model of weather's local employment effects. The fitted county model is then aggregated and used to generate in-sample and rolling out-of-sample (nowcast) estimates of the weather effect on national monthly employment. These nowcasts, which use only employment and weather data available prior to a given employment report, are significantly predictive not only of the surprise component of employment reports but also of stock and bond market returns on the days of employment reports.

Suggested Citation

  • Daniel J. Wilson, 2019. "Clearing the Fog: The Predictive Power of Weather for Employment Reports and Their Asset Price Responses," American Economic Review: Insights, American Economic Association, vol. 1(3), pages 373-388, December.
    • Handle: RePEc:aea:aerins:v:1:y:2019:i:3:p:373-88
    Note: DOI: 10.1257/aeri.20180432
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/aeri.20180432
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/aeri.20180432.data
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/aeri.20180432.appx
    Download Restriction: no
    File URL: https://www.aeaweb.org/doi/10.1257/aeri.20180432.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John H. Boyd & Jian Hu & Ravi Jagannathan, 2005. "The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks," Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
    2. 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.
    3. Marie Connolly, 2008. "Here Comes the Rain Again: Weather and the Intertemporal Substitution of Leisure," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 73-100.
    4. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    5. 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.
    6. Tatyana Deryugina & Solomon M. Hsiang, 2014. "Does the Environment Still Matter? Daily Temperature and Income in the United States," NBER Working Papers 20750, National Bureau of Economic Research, Inc.
    7. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    8. Duncan Sheppard Gilchrist & Emily Glassberg Sands, 2016. "Something to Talk About: Social Spillovers in Movie Consumption," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1339-1382.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel J. Wilson, 2021. "Where Is the U.S. COVID-19 Pandemic Headed?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2021(11), pages 01-06, April.
    2. Thibaut Duprey & Soojin Jo & Geneviève Vallée, 2024. "Let’s Get Physical: Impacts of Climate Change Physical Risks on Provincial Employment," Staff Working Papers 24-32, Bank of Canada.
    3. Mary C. Daly, 2021. "Climate Risk and the Fed: Preparing for an Uncertain Certainty," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2021(17), pages 1-08, June.
    4. Bo Liu & Barry T. Hirsch, 2021. "Winter weather and work hours: Heterogeneous effects and regional adaptation," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 867-881, October.
    5. Shihan Xie & Victoria Wenxin Xie & Xu Zhang, 2024. "Extreme Weather and Low-Income Household Finance: Evidence from Payday Loans," Staff Working Papers 24-1, Bank of Canada.
    6. Makridis, Christos A. & Schloetzer, Jason D., 2023. "Extreme local temperatures lower expressed sentiment about U.S. economic conditions with implications for the stock returns of local firms," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sam Cosaert & Adrián Nieto & Konstantinos Tatsiramos, 2023. "Temperature and Joint Time Use," CESifo Working Paper Series 10464, CESifo.
    2. Chengzheng Li & Zheng Pan, 2021. "How do extremely high temperatures affect labor market performance? Evidence from rural China," Empirical Economics, Springer, vol. 61(4), pages 2265-2291, October.
    3. Xi, Chen & Xie, Wei & Chen, Xiaoguang & He, Pan, 2023. "Weather shocks and movie recreation demand in China," Energy Economics, Elsevier, vol. 127(PB).
    4. Nguyen, Cuong Viet & Nguyen, Manh-Hung & Nguyen, Toan Truong, 2022. "Climate Change, Cold Waves, Heat Waves, and Mortality: Evidence from a Lower Middle-Income Country," GLO Discussion Paper Series 1034, Global Labor Organization (GLO).
    5. Huang, Kaixing & Zhao, Hong & Huang, Jikun & Wang, Jinxia & Findlay, Christopher, 2020. "The impact of climate change on the labor allocation: Empirical evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    6. Zhang, Peng & Deschenes, Olivier & Meng, Kyle & Zhang, Junjie, 2018. "Temperature effects on productivity and factor reallocation: Evidence from a half million chinese manufacturing plants," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 1-17.
    7. Riccardo Colacito & Bridget Hoffmann & Toan Phan, 2019. "Temperature and Growth: A Panel Analysis of the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(2-3), pages 313-368, March.
    8. Ishan Nath, 2021. "Climate Change, The Food Problem, and the Challenge of Adaptation through Sectoral Reallocation," Working Papers 21-29, Center for Economic Studies, U.S. Census Bureau.
    9. Bo Liu & Barry T. Hirsch, 2021. "Winter weather and work hours: Heterogeneous effects and regional adaptation," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 867-881, October.
    10. Yoo, Jonghyun & Eom, Jiyong & Zhou, Yuyu, 2024. "Thermal comfort and retail sales: A big data analysis of extreme temperature's impact on brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    11. Xiaoguang Chen & Madhu Khanna & Lu Yang, 2022. "The impacts of temperature on Chinese food processing firms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 256-279, April.
    12. Ishan B. Nath, 2020. "The Food Problem and the Aggregate Productivity Consequences of Climate Change," NBER Working Papers 27297, National Bureau of Economic Research, Inc.
    13. 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.
    14. Alan Barreca & Olivier Deschenes & Melanie Guldi, 2015. "Maybe Next Month? Temperature Shocks, Climate Change, and Dynamic Adjustments in Birth Rates," NBER Working Papers 21681, National Bureau of Economic Research, Inc.
    15. García-León, David, 2015. "Weather and Income: Lessons from the Main European Regions," Climate Change and Sustainable Development 202979, Fondazione Eni Enrico Mattei (FEEM).
    16. Charles Fries & François Gourio, 2020. "Adaptation and the Cost of Rising Temperature for the U.S. economy," Working Paper Series WP-2020-08, Federal Reserve Bank of Chicago.
    17. Solomon Hsiang & Paulina Oliva & Reed Walker, 2019. "The Distribution of Environmental Damages," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(1), pages 83-103.
    18. Wei, Xiahai & Li, Jianan & Liu, Hongyou & Wan, Jiangtao, 2023. "Temperature and outdoor productivity: Evidence from professional soccer players," Journal of Asian Economics, Elsevier, vol. 87(C).
    19. Jaqueline Oliveira & Bruno Palialol & Paula Pereda, 2021. "Do temperature shocks affect non-agriculture wages in Brazil? Evidence from individual-level panel data," Working Papers, Department of Economics 2021_13, University of São Paulo (FEA-USP).
    20. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aerins:v:1:y:2019:i:3:p:373-88. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.