IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-01362486.html
   My bibliography  Save this paper

The MEADOW Guidelines

Author

Listed:
  • Nathalie Greenan

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, CEE - Centre d'études de l'emploi - M.E.N.E.S.R. - Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche - Ministère du Travail, de l'Emploi et de la Santé)

  • Edward Lorenz

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique)

  • Stephen Allan
  • Thomas Amossé
  • Daniele Archiburgi
  • Anthony Arundel
  • Eva Bejerot
  • Lutz Bellmann
  • Sophie Bressé
  • Adam Coutts
  • Peter Csizmadia
  • Peter Ester
  • John Forth
  • Allan Naes Gjerding
  • Francis Green
  • Danièle Guillemot
  • Jørgen Gulddahl Rasmussen
  • Sylvie Hamon-Cholet
  • Annika Härenstam
  • Anders Hesselholdt
  • Irene Houtman
  • Rik Huys
  • Miklos Illéssy
  • Tommy Isidorsson
  • Walter Jansen
  • Eva Kirner
  • Karolus Kraan
  • Nathalie Lazaric
  • Fabrice Le Guel
  • Reinhard Lund
  • Bengt-Åke Lundvall
  • Csaba Makó
  • René Nesgaard Nielsen
  • Peter Nielsen
  • Samira Ouchhi
  • André Pahnke
  • Monique Ramioul
  • Amelia Román Giorgio Sirilli
  • Stefano Sirilli
  • Oliver Som
  • Adriana Van Cruysen
  • Ernest De Vroome

Abstract

The MEADOW Guidelines propose a measurement framework for collecting and interpreting internationally harmonised data on organisational change and its economic and social impacts for both private and public sector organisations. Reliable harmonised statistics on organisational change would provide the basis for effective benchmarking through the exchange of information on best practices across EU-member states and in this way could contribute directly to the success of European policy initiatives aimed at increasing the fl exibility and adaptability of organisations and employees while simultaneously improving the quality of jobs during economic booms as well as downturns. The MEADOW project (MEAsuring the Dynamics of Organisations and Work) is a European Commission funded Coordinating Action that brought together a multidisciplinary consortium of 14 partners from 9 European countries. The Meadow consortium has been actively supported by a number of key European and international institutions with central responsibilities for data collection and dissemination, including the OECD, EUROSTAT, the European Foundation for the Improvement of Living and Working Conditions, the European Agency for Safety and Health at Work, and DG Employment. MEADOW has been funded by the European Commission under priority 7 (Citizens and Governance) of the 6th RTD Framework Program.

Suggested Citation

  • Nathalie Greenan & Edward Lorenz & Stephen Allan & Thomas Amossé & Daniele Archiburgi & Anthony Arundel & Eva Bejerot & Lutz Bellmann & Sophie Bressé & Adam Coutts & Peter Csizmadia & Peter Ester & Jo, 2010. "The MEADOW Guidelines," Post-Print halshs-01362486, HAL.
  • Handle: RePEc:hal:journl:halshs-01362486
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01362486
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-01362486/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lynn, Peter & Hader, Sabine & Gabler, Siegfried & Laaksonen, Seppo, 2004. "Methods for achieving equivalence of samples in cross-national surveys: the European Social Survey experience," ISER Working Paper Series 2004-09, Institute for Social and Economic Research.
    2. Jacques Mairesse & Nathalie Greenan, 1999. "Using Employee-Level Data in a Firm-Level Econometric Study," Contributions to Economic Analysis, in: The Creation and Analysis of Employer-Employee Matched Data, pages 489-512, Emerald Group Publishing Limited.
    3. Lynn, Peter, 2001. "Developing quality standard for cross-national survey research: five approaches," ISER Working Paper Series 2001-21, Institute for Social and Economic Research.
    4. Lynn, Peter & Jäckle, Annette & Sala, Emanuela & P. Jenkins, Stephen, 2004. "The effects of dependent interviewing on responses to questions on income sources," ISER Working Paper Series 2004-16, Institute for Social and Economic Research.
    5. G. Blom, Annelies, 2008. "Measuring nonresponse cross-nationally," ISER Working Paper Series 2008-41, Institute for Social and Economic Research.
    6. Jäckle, Annette, 2005. "Does dependent interviewing really increase efficiency and reduce respondent burden?," ISER Working Paper Series 2005-11, Institute for Social and Economic Research.
    7. Gerry Nicolaas & Peter Lynn, 2002. "Random‐digit dialling in the UK: viability revisited," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 297-316, June.
    8. Lynn, Peter & Jäckle, Annette & Roberts, Caroline, 2006. "Telephone versus face-to-face interviewing: mode effects on data quality and likely causes: report on phase II of the ESS-Gallup mixed mode methodology project," ISER Working Paper Series 2006-41, Institute for Social and Economic Research.
    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. Palle Rasmussen & Peter Nielsen, 2011. "Knowledge management in the firm: concepts and issues," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(5/6), pages 479-493, August.

    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. Judith K. Hellerstein & David Neumark, 2003. "Ethnicity, Language, and Workplace Segregation: Evidence from a New Matched Employer-Employee Data Set," Annals of Economics and Statistics, GENES, issue 71-72, pages 1-15.
    2. Giacomello, Giampiero & Picci, Lucio, 2003. "My scale or your meter? Evaluating methods of measuring the Internet," Information Economics and Policy, Elsevier, vol. 15(3), pages 363-383, September.
    3. Giuseppe Nocella & Lionel Hubbard & Riccardo Scarpa, 2010. "Farm Animal Welfare, Consumer Willingness to Pay, and Trust: Results of a Cross-National Survey," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(2), pages 275-297.
    4. Christophe J. NORDMAN & François-Charles WOLFF, 2012. "On-The-Job Learning And Earnings: Comparative Evidence From Morocco And Senegal," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 35, pages 151-176.
    5. Caporale, Guglielmo Maria & Georgellis, Yannis & Tsitsianis, Nicholas & Yin, Ya Ping, 2009. "Income and happiness across Europe: Do reference values matter?," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 42-51, February.
    6. Erling Barth & Alex Bryson & James C. Davis & Richard Freeman, 2014. "It's Where You Work: Increases in Earnings Dispersion across Establishments and Individuals in the U.S," NBER Working Papers 20447, National Bureau of Economic Research, Inc.
    7. Gail Pacheco & Thomas Lange, 2010. "Political participation and life satisfaction: a cross‐European analysis," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 37(9), pages 686-702, August.
    8. P. Couper, Mick & Cernat, Alexandru & Beth Ofstedal, Mary, 2015. "Estimation of mode effects in the Health and Retirement Study using measurement models," ISER Working Paper Series 2015-19, Institute for Social and Economic Research.
    9. Jäckle, Annette, 2005. "Does dependent interviewing really increase efficiency and reduce respondent burden?," ISER Working Paper Series 2005-11, Institute for Social and Economic Research.
    10. Christophe Nordman & François-Charles Wolff, 2007. "On-the-job learning and earnings in Benin, Morocco and Senegal," Working Papers DT/2007/09, DIAL (Développement, Institutions et Mondialisation).
    11. G. Blom, Annelies, 2008. "Measuring nonresponse cross-nationally," ISER Working Paper Series 2008-41, Institute for Social and Economic Research.
    12. Stephen P. Jenkins & Lorenzo Cappellari & Peter Lynn & Annette Jäckle & Emanuela Sala, 2006. "Patterns of consent: evidence from a general household survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 701-722, October.
    13. Lynn, Peter & Roberts, Caroline & Allum, Nick & Eva, Gillian, 2010. "Data quality in telephone surveys and the effect of questionnaire length: a cross- national experiment," ISER Working Paper Series 2010-36, Institute for Social and Economic Research.
    14. Vidal Díaz de Rada, 2011. "Face-to-face versus telephone surveys on political attitudes: a comparative analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 817-827, June.
    15. Horst Stenger & Siegfried Gabler, 2007. "Optimal Strategies in 2-Stage Sampling," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 65(1), pages 29-42, February.
    16. Kaminska Olena & Lynn Peter, 2017. "Survey-Based Cross-Country Comparisons Where Countries Vary in Sample Design: Issues and Solutions," Journal of Official Statistics, Sciendo, vol. 33(1), pages 123-136, March.
    17. Petri Böckerman & Pekka Ilmakunnas, 2012. "The Job Satisfaction-Productivity Nexus: A Study Using Matched Survey and Register Data," ILR Review, Cornell University, ILR School, vol. 65(2), pages 244-262, April.
    18. Lynn, Peter & Sala, Emanuela, 2005. "The impact of a mixed-mode data collection design on non response bias on a business survey," ISER Working Paper Series 2005-16, Institute for Social and Economic Research.
    19. Devereux, Paul J., 2007. "Improved Errors-in-Variables Estimators for Grouped Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 278-287, July.
    20. Emanuela Sala & Peter Lynn, 2009. "The potential of a multi-mode data collection design to reduce non response bias. The case of a survey of employers," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 123-136, January.

    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:hal:journl:halshs-01362486. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.