IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v179y2016i1p203-228.html
   My bibliography  Save this article

Subjective wellbeing: why weather matters

Author

Listed:
  • John Feddersen
  • Robert Metcalfe
  • Mark Wooden

Abstract

type="main" xml:id="rssa12118-abs-0001"> The paper reports results from the first ever study of the effect of short-term weather and long-term climate on self-reported life satisfaction that uses longitudinal data. We find robust evidence that day-to-day weather variation impacts self-reported life satisfaction. Utilizing two sources of variation in the cognitive complexity of satisfaction questions, we present evidence that weather effects arise because of the cognitive challenge of reporting life satisfaction. We do not detect a relationship between long-term climate and self-reported life satisfaction by using an individual fixed effects specification, which identifies climate impacts through individuals moving location.

Suggested Citation

  • John Feddersen & Robert Metcalfe & Mark Wooden, 2016. "Subjective wellbeing: why weather matters," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 203-228, January.
    • Handle: RePEc:bla:jorssa:v:179:y:2016:i:1:p:203-228
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssa.2016.179.issue-1
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Yonas Alem & Jonathan Colmer, 2015. "Consumption Smoothing and the Welfare Cost of Uncertainty," STICERD - Economic Organisation and Public Policy Discussion Papers Series 059, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Iacus Stefano M. & Salini Silvia & Siletti Elena & Porro Giuseppe, 2020. "Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal," Journal of Official Statistics, Sciendo, vol. 36(2), pages 315-338, June.
    3. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    4. Dolan, Paul & Kavetsos, Georgios & Krekel, Christian & Mavridis, Dimitris & Metcalfe, Robert & Senik, Claudia & Szymanski, Stefan & Ziebarth, Nicolas R., 2019. "Quantifying the intangible impact of the Olympics using subjective well-being data," Journal of Public Economics, Elsevier, vol. 177(C), pages 1-1.
    5. Paul Dolan & Georgios Kavetsos & Christian Krekel & Dimitris Mavridis & Robert Metcalfe & Claudia Senik & Stefan Szymanski & Nicolas R. Ziebarth, 2016. "The Host with the Most? The Effects of the Olympic Games on Happiness," SOEPpapers on Multidisciplinary Panel Data Research 858, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Akay, Alpaslan & Bargain, Olivier & Elsayed, Ahmed, 2020. "Global terror, well-being and political attitudes," European Economic Review, Elsevier, vol. 123(C).
    7. Guglielmo Zappalà, 2022. "Drought exposure and accuracy: Motivated reasoning in climate change beliefs," Working Papers 2022.02, FAERE - French Association of Environmental and Resource Economists.
    8. Akay, Alpaslan & Bargain, Olivier & Elsayed, Ahmed, 2018. "Everybody's a Victim? Global Terror, Well-Being and Political Attitudes," IZA Discussion Papers 11597, Institute of Labor Economics (IZA).
    9. Yonas Alem & Jonathan Colmer, 2015. "Consumption smoothing and the welfare cost of uncertainty," GRI Working Papers 118b, Grantham Research Institute on Climate Change and the Environment.
    10. Alem, Yonas & Colmer, Jonathan, 2015. "Consumption smoothing and the welfare cost of uncertainty," LSE Research Online Documents on Economics 63816, London School of Economics and Political Science, LSE Library.
    11. Clément S. Bellet & Jan-Emmanuel De Neve & George Ward, 2019. "Does employee happiness have an impact on productivity?," CEP Discussion Papers dp1655, Centre for Economic Performance, LSE.
    12. Eleftherios Giovanis, 2019. "Worthy to lose some money for better air quality: applications of Bayesian networks on the causal effect of income and air pollution on life satisfaction in Switzerland," Empirical Economics, Springer, vol. 57(5), pages 1579-1611, November.
    13. Knight, S.J; Howley, P.;, 2017. "Can clean air make you happy? Examining the effect of nitrogen dioxide (NO2) on life satisfaction," Health, Econometrics and Data Group (HEDG) Working Papers 17/08, HEDG, c/o Department of Economics, University of York.
    14. Patel, Pankaj C. & Devaraj, Srikant & Quigley, Narda R. & Oghazi, Pejvak, 2020. "The influence of sunlight on taxi driver productivity," Journal of Business Research, Elsevier, vol. 115(C), pages 456-468.
    15. Yonas Alem & Jonathan Colmer, 2015. "Consumption Smoothing and the Welfare Cost of Uncertainty," CEP Discussion Papers dp1369, Centre for Economic Performance, LSE.
    16. Shuai Zhang & Binbin Liu & Dajian Zhu & Mingwang Cheng, 2018. "Explaining Individual Subjective Well-Being of Urban China Based on the Four-Capital Model," Sustainability, MDPI, vol. 10(10), pages 1-14, September.
    17. Barbara Felderer & Jannis Kueck & Martin Spindler, 2021. "Big Data meets Causal Survey Research: Understanding Nonresponse in the Recruitment of a Mixed-mode Online Panel," Papers 2102.08994, arXiv.org.

    More about this item

    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:bla:jorssa:v:179:y:2016:i:1:p:203-228. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.