[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp15905.html
   My bibliography  Save this paper

Labour Market Expectations and Unemployment in Europe

Author

Listed:
  • Blanchflower, David G.

    (Dartmouth College)

  • Bryson, Alex

    (University College London)

Abstract
Unemployment is notoriously difficult to predict. In previous studies, once country and year fixed effects are added to panel estimates, few variables predict changes in unemployment rates. Using panel data for 29 European countries collected by the European Commission over 444 months between January 1985 and October 2022 in an unbalanced country*month panel of just over 10000 observations, we predict changes in the unemployment rate 12 months ahead. We do so using individuals' fears of unemployment which predict subsequent changes in unemployment 12 months later in the presence of country fixed effects and lagged unemployment. We also use industrial firm's expectations of future employment, which are also predictive of what happens to unemployment three months later. Using our preferred model specification, we present out-of-sample predictions based on replications from 1,000 random samples. These track actual movements in unemployment rates closely over a period in which there were two major recessions and unemployment shifted by a factor of two.

Suggested Citation

  • Blanchflower, David G. & Bryson, Alex, 2023. "Labour Market Expectations and Unemployment in Europe," IZA Discussion Papers 15905, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp15905
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp15905.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David G. Blanchflower & Andrew J. Oswald, 2013. "Does High Home-Ownership Impair the Labor Market?," NBER Working Papers 19079, National Bureau of Economic Research, Inc.
    2. Schanne, N. & Wapler, R. & Weyh, A., 2010. "Regional unemployment forecasts with spatial interdependencies," International Journal of Forecasting, Elsevier, vol. 26(4), pages 908-926, October.
    3. David G. Blanchflower & Alex Bryson, 2021. "The Economics of Walking About and Predicting Unemployment," NBER Working Papers 29172, National Bureau of Economic Research, Inc.
    4. DavidG. Blanchflower & Chris Shadforth, 2009. "Fear, Unemployment and Migration," Economic Journal, Royal Economic Society, vol. 119(535), pages 136-182, February.
    5. David G. Blanchflower & Alex Bryson, 2021. "The Economics of Walking About and Predicting US Downturns," DoQSS Working Papers 21-31, Quantitative Social Science - UCL Social Research Institute, University College London.
    6. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 329-349, November.
    8. Blanchflower, David G, 1991. "Fear, Unemployment and Pay Flexibility," Economic Journal, Royal Economic Society, vol. 101(406), pages 483-496, May.
    9. Philippe Askenazy & Lutz Bellmann & Alex Bryson & Eva Moreno Galbis, 2016. "Productivity Puzzles Across Europe," Post-Print halshs-01379283, HAL.
    10. Richard B. Freeman, 2007. "Labor Market Institutions Around the World," NBER Working Papers 13242, National Bureau of Economic Research, Inc.
    11. Andresa Lagerborg & Evi Pappa & Morten O Ravn, 2023. "Sentimental Business Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(3), pages 1358-1393.
    12. Manning, Alan & Mazeine, Graham, 2020. "Subjective job insecurity and the rise of the precariat: evidence from the UK, Germany and the United States," LSE Research Online Documents on Economics 108485, London School of Economics and Political Science, LSE Library.
    13. Abberger, Klaus, 2007. "Qualitative business surveys and the assessment of employment -- A case study for Germany," International Journal of Forecasting, Elsevier, vol. 23(2), pages 249-258.
    14. Esther Duflo, 2017. "Richard T. Ely Lecture: The Economist as Plumber," American Economic Review, American Economic Association, vol. 107(5), pages 1-26, May.
    15. Shuaizhang Feng & Jiandong Sun, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," Working Papers 2020-029, Human Capital and Economic Opportunity Working Group.
    16. Esther Duflo, 2017. "The Economist as Plumber," NBER Working Papers 23213, National Bureau of Economic Research, Inc.
    17. Ruilin Tian & Gang Shen, 2019. "Predictive power of Markovian models: Evidence from US recession forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(6), pages 525-551, September.
    18. David G. Blanchflower & Carol L. Graham, 2022. "The Mid-Life Dip in Well-Being: a Critique," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 287-344, May.
    19. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    20. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," IZA Discussion Papers 13168, Institute of Labor Economics (IZA).
    21. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    22. Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-277, April.
    23. Duflo, Esther, 2017. "The Economist as Plumber," CEPR Discussion Papers 11881, C.E.P.R. Discussion Papers.
    24. Askenazy, Philippe & Bellmann, Lutz & Bryson, Alex & Moreno Galbis, Eva (ed.), 2016. "Productivity Puzzles Across Europe," OUP Catalogue, Oxford University Press, number 9780198786160.
    25. Oscar Claveria, 2019. "A new consensus-based unemployment indicator," Applied Economics Letters, Taylor & Francis Journals, vol. 26(10), pages 812-817, June.
    26. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-errors-adjusted Sahm Rule for Early Identification of Economic Recession," GLO Discussion Paper Series 523, Global Labor Organization (GLO).
    Full references (including those not matched with items on IDEAS)

    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. David G. Blanchflower & Alex Bryson, 2021. "The Economics of Walking About and Predicting Unemployment," NBER Working Papers 29172, National Bureau of Economic Research, Inc.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2020. "“Spectral analysis of business and consumer survey data”," AQR Working Papers 2012002, University of Barcelona, Regional Quantitative Analysis Group, revised May 2020.
    3. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    4. Dina Pomeranz & José Vila-Belda, 2019. "Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 755-781, August.
    5. Blanchflower, David G. & Bryson, Alex, 2023. "The Sahm Rule And Predicting The Great Recession Across Oecd Countries," National Institute Economic Review, National Institute of Economic and Social Research, vol. 264, pages 8-58, May.
    6. Krause, Philipp & Hernández Licona, Gonzalo, 2020. "From experimental findings to evidence-based policy," World Development, Elsevier, vol. 127(C).
    7. John Gibson, 2021. "The micro‐geography of academic research: How distinctive is economics?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(4), pages 467-484, September.
    8. Alice Nicole Sindzingre, 2021. "Truth vs justification: contrasting heterodox and mainstream thinking on development via the example of austerity in Africa," CEPN Working Papers hal-03139457, HAL.
    9. Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
    10. Wei Yang Tham & Joseph Staudt & Elisabeth Ruth Perlman & Stephanie D. Cheng, 2024. "Scientific Talent Leaks Out of Funding Gaps," Working Papers 24-08, Center for Economic Studies, U.S. Census Bureau.
    11. Peter Boettke & John Kroencke, 2020. "The real purpose of the program: a case study in James M. Buchanan’s efforts at academic entrepreneurship to “save the books” in economics," Public Choice, Springer, vol. 183(3), pages 227-245, June.
    12. Button, Kenneth & Frye, Hailey & Reaves, David, 2020. "Economic regulation and E-scooter networks in the USA," Research in Transportation Economics, Elsevier, vol. 84(C).
    13. Boris Salazar-Trujillo & Daniel Otero Robles, 2019. "La revolución empírica en economía," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(68), pages 15-48, July.
    14. Masselus, Lise & Petrik, Christina & Ankel-Peters, Jörg, 2024. "Lost in the design space? Construct validity in the microfinance literature," Ruhr Economic Papers 1097, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Löschel, Andreas & Großkurth, Philipp & Colombier, Michel & Criqui, Patrick & Xiangwan, Du & Frei, Christoph & Gethmann, Carl Friedrich & Gummer, John & Lecocq, Franck & Parikh, Jyoti K. & Sauer, Dirk, 2018. "Establishing an expert advisory commission to assist the G20's energy transformation processes," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-13.
    16. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
    17. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
    18. Fonseca Morello, Thiago, 2022. "Subsidization of mechanized tillage as an alternative to fire-based land preparation by smallholders: An economic appraisal of the case of southwestern Brazilian Amazon," Land Use Policy, Elsevier, vol. 123(C).
    19. Rao, Vijayendra, 2020. "Evidence-based development needs a diversity of tools, with a bottom-up process of “embedded” dialogue," World Development, Elsevier, vol. 127(C).
    20. Saileshsingh Gunessee & Tom Lane, 2020. "Is Economics An Experimental Science? A Textbook Perspective," Discussion Papers 2020-16, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.

    More about this item

    Keywords

    unemployment; fear; business sentiment; expectations; forecasting recession; COVID-19; supply shocks;
    All these keywords.

    JEL classification:

    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp15905. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.