IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/922.html
   My bibliography  Save this paper

The Economics of Walking About and Predicting Unemployment

Author

Listed:
  • Blanchflower, David G.
  • Bryson, Alex

Abstract

Unemployment is notoriously difficult to predict. In previous studies, once country fixed effects are added to panel estimates, few variables predict changes in unemployment rates. Using panel data for 29 European countries - Austria; Belgium; Bulgaria; Croatia; Cyprus; Czechia; Denmark; Estonia; Finland; France; Germany; Greece; Hungary; Ireland; Italy; Latvia; Lithuania; Luxembourg; Malta; Netherlands; Poland; Portugal; Romania; Slovakia; Slovenia; Spain; Sweden; Turkey and the UK - over 439 months between January 1985 and July 2021 in an unbalanced country*month panel of just over 10000 observations, we predict changes in the unemployment rate 12 months in advance based on individuals' fears of unemployment, their perceptions of the economic situation and their own household financial situation. Fear of unemployment predicts subsequent changes in unemployment 12 months later in the presence of country fixed effects and lagged unemployment. Individuals' perceptions of the economic situation in the country and their own household finances also predict unemployment 12 months later. Business sentiment (industry fear of unemployment) is also predictive of unemployment 12 months later. The findings underscore the importance of the "economics of walking about". The implication is that these social survey data are informative in predicting economic downturns and should be used more extensively in forecasting. We also generate a 29 country-level annual panel on life satisfaction from 1985-2020 from the World Database of Happiness and show that the consumer level fear of unemployment variable lowers wellbeing over and above the negative impact of the unemployment rate itself. Qualitative survey metrics were able to predict the Great Recession and the economic slowdown in Europe just prior to the COVID pandemic.

Suggested Citation

  • Blanchflower, David G. & Bryson, Alex, 2021. "The Economics of Walking About and Predicting Unemployment," GLO Discussion Paper Series 922, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:922
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/238742/1/GLO-DP-0922.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. Christian Hutter & Enzo Weber, 2015. "Constructing a new leading indicator for unemployment from a survey among German employment agencies," Applied Economics, Taylor & Francis Journals, vol. 47(33), pages 3540-3558, July.
    3. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
    4. 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.
    5. David G. Blanchflower & Chris Shadforth, 2009. "Fear, Unemployment and Migration," Economic Journal, Royal Economic Society, vol. 119(535), pages 136-182, February.
    6. Blanchard, Olivier & Wolfers, Justin, 2000. "The Role of Shocks and Institutions in the Rise of European Unemployment: The Aggregate Evidence," Economic Journal, Royal Economic Society, vol. 110(462), pages 1-33, March.
    7. 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.
    8. 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, Taylor & Francis Journals, vol. 20(2), pages 329-349, November.
    9. Stephen Nickell & Luca Nunziata & Wolfgang Ochel, 2005. "Unemployment in the OECD Since the 1960s. What Do We Know?," Economic Journal, Royal Economic Society, vol. 115(500), pages 1-27, January.
    10. 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.
    11. David G. Blanchflower & David N.F. Bell & Alberto Montagnoli & Mirko Moro, 2014. "The Happiness Trade‐Off between Unemployment and Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(S2), pages 117-141, October.
    12. Stephen Nickell, 1997. "Unemployment and Labor Market Rigidities: Europe versus North America," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 55-74, Summer.
    13. Philippe Askenazy & Lutz Bellmann & Alex Bryson & Eva Moreno Galbis, 2016. "Productivity Puzzles Across Europe," PSE-Ecole d'économie de Paris (Postprint) halshs-01379283, HAL.
    14. 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).
    15. 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.
    16. Sarah Gelper & Christophe Croux, 2010. "On the Construction of the European Economic Sentiment Indicator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 47-62, February.
    17. Blanchflower, David G, 1991. "Fear, Unemployment and Pay Flexibility," Economic Journal, Royal Economic Society, vol. 101(406), pages 483-496, May.
    18. 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).
    19. Stephen Nickell & Patricia Jones & Glenda Quintini, 2002. "A Picture of Job Insecurity Facing British Men," Economic Journal, Royal Economic Society, vol. 112(476), pages 1-27, January.
    20. Heckman James J., 2007. "Comments on Are Protective Labor Market Institutions at the Root of Unemployment? A Critical Review of the Evidence by David Howell, Dean Baker, Andrew Glyn, and John Schmitt," Capitalism and Society, De Gruyter, vol. 2(1), pages 1-5, August.
    21. Paul Smith, 2016. "Google's MIDAS Touch: Predicting UK Unemployment with Internet Search Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(3), pages 263-284, April.
    22. 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.
    23. Bean, Charles R, 1994. "European Unemployment: A Survey," Journal of Economic Literature, American Economic Association, vol. 32(2), pages 573-619, June.
    24. Blanchflower, David G., 2001. "Unemployment, Well-Being, and Wage Curves in Eastern and Central Europe," Journal of the Japanese and International Economies, Elsevier, vol. 15(4), pages 364-402, December.
    25. 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.
    26. 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.
    27. 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.
    28. Askenazy, Philippe & Bellmann, Lutz & Bryson, Alex & Moreno Galbis, Eva (ed.), 2016. "Productivity Puzzles Across Europe," OUP Catalogue, Oxford University Press, number 9780198786160.
    29. Oscar Claveria, 2019. "A new consensus-based unemployment indicator," Applied Economics Letters, Taylor & Francis Journals, vol. 26(10), pages 812-817, June.
    30. Howell David R. & Baker Dean & Glyn Andrew & Schmitt John, 2007. "Are Protective Labor Market Institutions at the Root of Unemployment? A Critical Review of the Evidence," Capitalism and Society, De Gruyter, vol. 2(1), pages 1-73, May.
    31. 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)

    Citations

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


    Cited by:

    1. David G. Blanchflower & Alex Bryson, 2023. "Recession and deflation?," Review of Keynesian Economics, Edward Elgar Publishing, vol. 11(2), pages 214-231, April.
    2. 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.
    3. Blanchflower, David G. & Bryson, Alex, 2023. "Were COVID and the Great Recession Well-Being Reducing?," IZA Discussion Papers 16355, Institute of Labor Economics (IZA).
    4. Blanchflower, David G. & Bryson, Alex, 2023. "Labour Market Expectations and Unemployment in Europe," IZA Discussion Papers 15905, Institute of Labor Economics (IZA).

    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. Blanchflower, David G. & Bryson, Alex, 2023. "Labour Market Expectations and Unemployment in Europe," IZA Discussion Papers 15905, Institute of Labor Economics (IZA).
    2. David R. Howell, 2010. "Institutions, Aggregate Demand and Cross-Country Employment Performance: Alternative Theoretical Perspectives and the Evidence," Working Papers wp228, Political Economy Research Institute, University of Massachusetts at Amherst.
    3. Kamila Fialová & OndÅej Schneider, 2009. "Labor Market Institutions and Their Effect on Labor Market Performance in the New EU Member Countries," Eastern European Economics, Taylor & Francis Journals, vol. 47(3), pages 57-83, May.
    4. 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.
    5. 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.
    6. Robert Vergeer & Alfred Kleinknecht, 2012. "Do Flexible Labor Markets Indeed Reduce Unemployment? A Robustness Check," Review of Social Economy, Taylor & Francis Journals, vol. 70(4), pages 451-467, December.
    7. Andrea Bassanini & Romain Duval, 2009. "Unemployment, institutions, and reform complementarities: re-assessing the aggregate evidence for OECD countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 25(1), pages 40-59, Spring.
    8. H Buscher & C Dreger & R Ramos & J Surinach, 2009. "The Impact of Institutions on the Employment Performance in European Labour Markets," Economic Issues Journal Articles, Economic Issues, vol. 14(1), pages 17-34, March.
    9. Lehmann, Hartmut & Muravyev, Alexander, 2009. "How Important Are Labor Market Institutions for Labor Market Performance in Transition Countries?," IZA Discussion Papers 4673, Institute of Labor Economics (IZA).
    10. Linzert, Tobias, 2005. "The Unemployment Inflation Trade-Off in the Euro Area," IZA Discussion Papers 1699, Institute of Labor Economics (IZA).
    11. Luca Nunziata, 2005. "Institutions and Wage Determination: a Multi‐country Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 435-466, August.
    12. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2017. "When more flexibility yields more fragility: The microfoundations of Keynesian aggregate unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 162-186.
    13. Sachs Andreas & Smolny Werner, 2015. "Youth Unemployment in the OECD: The Role of Institutions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(4-5), pages 403-417, August.
    14. Emiliano Brancaccio & Fabiana De Cristofaro & Raffaele Giammetti, 2020. "No Consensus In The Imf-Oecd 'Consensus': A Meta-Analysis On The Employment Impact Of Labour Deregulations," Working Papers 445, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    15. Betcherman, Gordon, 2014. "Labor market regulations : what do we know about their impacts in developing countries ?," Policy Research Working Paper Series 6819, The World Bank.
    16. Eichhorst, Werner & Feil, Michael & Braun, Christoph, 2008. "What have we learned? Assessing labor market institutions and indicators," IAB-Discussion Paper 200822, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Claveria, Oscar, 2019. "Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-3.
    18. Tito Boeri & Jan van Ours, 2013. "The Economics of Imperfect Labor Markets: Second Edition," Economics Books, Princeton University Press, edition 1, number 10142.
    19. Howell David R. & Baker Dean & Glyn Andrew & Schmitt John, 2007. "Are Protective Labor Market Institutions at the Root of Unemployment? A Critical Review of the Evidence," Capitalism and Society, De Gruyter, vol. 2(1), pages 1-73, May.
    20. repec:bla:jcmkts:v:48:y:2010:i::p:661-685 is not listed on IDEAS
    21. Heimberger, Philipp & Kapeller, Jakob & Schütz, Bernhard, 2017. "The NAIRU determinants: What’s structural about unemployment in Europe?," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 883-908.

    More about this item

    Keywords

    unemployment; fear; sentiment; social attitudes; life satisfaction; recession; COVID;
    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:zbw:glodps:922. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.