IDEAS home Printed from https://ideas.repec.org/h/eme/ceazzz/s0573-8555(1999)0000241021.html
   My bibliography  Save this book chapter

Using Employee-Level Data in a Firm-Level Econometric Study

In: The Creation and Analysis of Employer-Employee Matched Data

Author

Listed:
  • Jacques Mairesse
  • Nathalie Greenan

Abstract

In this paper, we make the general point that econometric studies of the firm can be effectively and substantially enriched by using information collected from employees, even if only a few of them are surveyed per firm. Though variables measured on the basis of the answers of very few employees per firm are subject to very important sampling errors, they can be usefully included in a model specified at the firm level. In the first part of the paper, we show that in estimating parameters of interest in a regression model of the firm, the biases arising from the sampling errors in the employee based variables can be assessed, as long as we have a large enough sub-sample of firms with at least two or with more (randomly chosen) surveyed employees. As an illustration in the second part of the paper, we consider the estimation of the relationship between the firm average wage (directly obtained from the firm accounts) and estimates of the proportion of female workers based on the gender of one, two or three surveyed employees per firm. As a test, we compare the estimates that we find in this way with those using the employees), which we could also directly obtain at the firm level from a firm survey. The analysis is performed on two linked employer-employee samples of about 2500 firms in the French manufacturing and services industries in 1987 and 1993, with one, two or three surveyed employees per firm (for respectively 75%, 15% and 10% of the firms).
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
    • Handle: RePEc:eme:ceazzz:s0573-8555(1999)0000241021
    DOI: 10.1108/S0573-8555(1999)0000241021
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0573-8555(1999)0000241021/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0573-8555(1999)0000241021/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/S0573-8555(1999)0000241021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. Nathalie Greenana & Jacques Mairesse, 2000. "Computers And Productivity In France: Some Evidence," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(3), pages 275-315.
    3. Card, David & Lemieux, Thomas, 1996. "Wage dispersion, returns to skill, and black-white wage differentials," Journal of Econometrics, Elsevier, vol. 74(2), pages 319-361, October.
    4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    5. Torbjorn Hacgeland & Tor Jakob Klette, 1999. "Do Higher Wages Reflect Higher Productivity? Education, Gender and Experience Premiums in a Matched Plant-Worker Data Set," Contributions to Economic Analysis, in: The Creation and Analysis of Employer-Employee Matched Data, pages 231-259, Emerald Group Publishing Limited.
    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. 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. 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).
    3. 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.
    4. Stepan Jurajda & Heike Harmgart, 2002. "Sex Segregation and Wage Gaps in East and West Germany," CERGE-EI Working Papers wp202, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    5. Christophe J. Nordman & François-Charles Wolff, 2009. "Is There a Glass Ceiling in Morocco? Evidence from Matched Worker--Firm Data," Journal of African Economies, Centre for the Study of African Economies, vol. 18(4), pages 592-633, August.
    6. Alex Bryson, 2014. "It's Where You Work: Increases in Earnings Dispersion across Establishments and Individuals in the U.S," National Institute of Economic and Social Research (NIESR) Discussion Papers 436, National Institute of Economic and Social Research.
    7. Erling Barth & James C. Davis & Richard B. Freeman & Andrew J. Wang, 2018. "The Effects of Scientists and Engineers on Productivity and Earnings at the Establishment Where They Work," NBER Chapters, in: US Engineering in a Global Economy, pages 167-191, National Bureau of Economic Research, Inc.
    8. repec:eee:labchp:v:3:y:1999:i:pb:p:2629-2710 is not listed on IDEAS
    9. Petri, Böckerman & Pekka, Ilmakunnas, 2020. "Työhyvinvointi kannattaa. Työolot, työtyytyväisyys ja tuottavuus [Working conditions, job satisfaction and productivity]," MPRA Paper 103484, University Library of Munich, Germany.
    10. 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.
    11. Nis Lydiksen & Andreas Gotfredsen & Jacob Ladenburg & Helle Stenbro, 2023. "Job satisfaction and firm earnings—Evidence from matched survey and register data," LABOUR, CEIS, vol. 37(2), pages 197-221, June.
    12. 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.
    13. Nathalie Greenan & Jacques Mairesse, 2006. "Un équipement de recherche pour observer et analyser les réorganisations d'entreprises," Revue économique, Presses de Sciences-Po, vol. 57(6), pages 1121-1135.
    14. Tilahun Temesgen, 2006. "Decomposing Gender Wage Differentials in Urban Ethiopia: Evidence from Linked Employer-Employee (LEE) Manufacturing Survey Data," Global Economic Review, Taylor & Francis Journals, vol. 35(1), pages 43-66.
    15. Nathalie Greenan & Jacques Mairesse, 2006. "Les changements organisationnels, l'informatisation des entreprises et le travail des salariés. Un exercice de mesure à partir de données couplées entreprises/salariés," Revue économique, Presses de Sciences-Po, vol. 57(6), pages 1137-1175.
    16. Christophe J. Nordman & François-Charles Wolff, 2009. "Gender differences in pay in African manufacturing firms," Working Papers hal-00421227, HAL.
    17. 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.
    18. repec:dau:papers:123456789/4333 is not listed on IDEAS
    19. repec:dau:papers:123456789/4344 is not listed on IDEAS
    20. repec:dau:papers:123456789/5948 is not listed 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. Diane J. Macunovich, 1999. "The fortunes of one's birth: Relative cohort size and the youth labor market in the United States," Journal of Population Economics, Springer;European Society for Population Economics, vol. 12(2), pages 215-272.
    2. B.K. Atrostic & Sang V. Nguyen, 2002. "Computer Networks and U.S. Manufacturing Plant Productivity: New Evidence from the CNUS Data," Working Papers 02-01, Center for Economic Studies, U.S. Census Bureau.
    3. Benoit Dostie, 2011. "Wages, Productivity and Aging," De Economist, Springer, vol. 159(2), pages 139-158, June.
    4. Jacques Mairesse & Nathalie Greenan & Agnes Topiol-Bensaid, 2001. "Information Technology and Research and Development Impacts on Productivity and Skills: Looking for Correlations on French Firm Level Data," NBER Working Papers 8075, National Bureau of Economic Research, Inc.
    5. Spyros Arvanitis & Juliette von Arx, 2004. "Bestimmungsfaktoren der Innovationstätigkeit und deren Einfluss auf Arbeitsproduktivität, Beschäftigung und Qualifikationsstruktur," KOF Working papers 04-91, KOF Swiss Economic Institute, ETH Zurich.
    6. 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.
    7. Sang Nguyen & B.K. Atrostic, 2005. "Computer Investment, Computer Networks and Productivity," Working Papers 05-01, Center for Economic Studies, U.S. Census Bureau.
    8. Chay, Kenneth Y. & Lee, David S., 2000. "Changes in relative wages in the 1980s Returns to observed and unobserved skills and black-white wage differentials," Journal of Econometrics, Elsevier, vol. 99(1), pages 1-38, November.
    9. Sang Nguyen & B.K. Atrostic, 2006. "How Businesses Use Information Technology: Insights for Measuring Technology and Productivity," Working Papers 06-15, Center for Economic Studies, U.S. Census Bureau.
    10. TESTE, Thierry, 1999. "Technologies de l'information et de la communication : Approches économètriques sur le paradoxe de productivité," LATEC - Document de travail - Economie (1991-2003) 1999-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    11. Mejia, Paula & Meléndez Arjona, Marcela, 2012. "Middle-Class Entrepreneurs and Social Mobility through Entrepreneurship in Colombia," IDB Publications (Working Papers) 4082, Inter-American Development Bank.
    12. Lal, K., 1999. "Information Technology and Exports: A Case Study of Indian Garments Manufacturing Enterprises," Discussion Papers 280137, University of Bonn, Center for Development Research (ZEF).
    13. Inmaculada Garc�a-Mainar & V�ctor M. Montuenga-G�mez, 2017. "Subjective educational mismatch and signalling in Spain," Documentos de Trabajo dt2017-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    14. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2008. "The Contribution of Pollution to Productivity Growth," Working Paper series 06_08, Rimini Centre for Economic Analysis.
    15. Philippe Martin & Thierry Mayer & Florian Mayneris, 2008. "Spatial Concentration and Firm-Level Productivity in France," Sciences Po publications 6858, Sciences Po.
    16. Laura Hospido & Eva Moreno-Galbis, 2015. "The Spanish productivity puzzle in the Great Recession," Working Papers 1501, Banco de España.
    17. Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2011. "Public support to clusters: A firm level study of French "Local Productive Systems"," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 108-123, March.
    18. Hippolyte d’Albis & Ikpidi Badji, 2021. "Intergenerational equity by educational attainments in France," Journal of Population Research, Springer, vol. 38(4), pages 339-365, December.
    19. Emily Anderson & Atsushi Inoue & Barbara Rossi, 2016. "Heterogeneous Consumers and Fiscal Policy Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(8), pages 1877-1888, December.
    20. Pekka Ilmakunnas & Mika Maliranta & Jari Vainiomäki, 2004. "The Roles of Employer and Employee Characteristics for Plant Productivity," Journal of Productivity Analysis, Springer, vol. 21(3), pages 249-276, May.

    More about this item

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:eme:ceazzz:s0573-8555(1999)0000241021. 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: Emerald Support (email available below). General contact details of provider: .

    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.