Advanced Search
MyIDEAS: Login

Using Methods of Treatment Evaluation to Estimate the Wage Effect of IT Usage

Contents:

Author Info

  • Spitz, Alexandra
Registered author(s):

    Abstract

    In this study, I analyze the relationship between IT use and wages in West Germany in 1998/99. I use two estimation approaches: regression based matching and matching on the propensity score. The richness of the data set favors the use of these approaches. The variable of main interest is the average treatment effect for the treated. I find that, given the extensive changes in workplaces that have occurred in recent decades, IT users would be worse off in terms of wages had they not started to use IT. --

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://econstor.eu/bitstream/10419/24075/1/dp0467.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 04-67.

    as in new window
    Length:
    Date of creation: 2004
    Date of revision:
    Handle: RePEc:zbw:zewdip:2356

    Contact details of provider:
    Postal: L 7,1; D - 68161 Mannheim
    Phone: +49/621/1235-01
    Fax: +49/621/1235-224
    Email:
    Web page: http://www.zew.de/
    More information through EDIRC

    Related research

    Keywords: Computer wage differential; matching;

    Find related papers by JEL classification:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Borghans, Lex & ter Weel, Bas, 2007. "The diffusion of computers and the distribution of wages," European Economic Review, Elsevier, vol. 51(3), pages 715-748, April.
    2. Dinardo, J.E. & Pischke, J.S., 1996. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," Working papers 96-12, Massachusetts Institute of Technology (MIT), Department of Economics.
    3. Abowd, J.M. & Kramarz, F. & Margolis, D.N., 1995. "High-Wage Workers and High-Wage Firms," Cahiers de recherche 9503, Universite de Montreal, Departement de sciences economiques.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Horst Entorf & Francis Kramarz, 1998. "The Impact Of New Technologies On Wages: Lessons From Matching Panels On Employees And On Their Firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(2-4), pages 165-198.
    6. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
    7. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
    8. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    9. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    10. Brian D. Bell, . "Skill-Biased Technical Change and Wages: Evidence from a Longitudinal Data Se," Economics Papers W25., Economics Group, Nuffield College, University of Oxford.
    11. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
    12. H, Entorf & Michel Gollac & Francis Kramarz, 1997. "New Technologies, Wages and Worker Selection," Working Papers 97-25, Centre de Recherche en Economie et Statistique.
    13. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2004. "Evaluating the Impact of Education on Earnings in the UK: Models, Methods and Results from the NCDS," CEE Discussion Papers 0047, Centre for the Economics of Education, LSE.
    14. Christoph Schmidt & Klaus Zimmerman, 1990. "Work Characteristics, Firm Size and Wages," Working Papers 644, Princeton University, Department of Economics, Industrial Relations Section..
    15. Peter Dolton & Gerry Makepeace, 2004. "Computer Use and Earnings in Britain," Economic Journal, Royal Economic Society, vol. 114(494), pages C117-C129, 03.
    16. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    17. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
    18. Robert Gibbons & Lawrence F. Katz, 1992. "Does Unmeasured Ability Explain Inter-Industry Wage Differentials?," NBER Working Papers 3182, National Bureau of Economic Research, Inc.
    19. David H. Autor & Frank Levy & Richard J. Murnane, 2001. "The Skill Content of Recent Technological Change: An Empirical Exploration," NBER Working Papers 8337, National Bureau of Economic Research, Inc.
    20. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
    21. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    22. William T. Dickens & Lawrence F. Katz, 1987. "Interindustry Wage Differences and Industry Characteristics," NBER Working Papers 2014, National Bureau of Economic Research, Inc.
    23. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555 Elsevier.
    24. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
    25. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    26. Entorf, Horst & Kramarz, Francis, 1997. "Does unmeasured ability explain the higher wages of new technology workers?," European Economic Review, Elsevier, vol. 41(8), pages 1489-1509, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:2356. 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: (ZBW - German National Library of Economics).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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