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The impact of new technologies on wages : lessons from matching panels on employees and on their firms

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  • Entorf, Horst
  • Kramarz, Francis

Abstract

We study the impact on New Technologies (NT) on wages using a panel that matches data on individuals and on their firms. In his article on the same topic, Krueger (1993) did not give a definitive answer to the following question: if workers who use NT are better paid, is it because they are abler or because NT increases their productivity. We try to provide an answer to this question. Comparing cross-section estimates and individual fixed-effect estimates, we show that computer-based new technologies are used by abler workers. These workers learn and become more productive when they get more experienced with these NT. In terns of wage differentials, the introduction of computer-based NT contributes to a small increase. The use of firm-level data does not modify these conclusions.
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Suggested Citation

  • Entorf, Horst & Kramarz, Francis, 1998. "The impact of new technologies on wages : lessons from matching panels on employees and on their firms," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 24116, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:24116
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/24116/
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    Cited by:

    1. Kenta IKEUCHI & Kyoji FUKAO & Cristiano PERUGINI & Fabrizio POMPEI, 2023. "Which Employers Share Rents? A firm-level analysis for Japan," Discussion papers 23048, Research Institute of Economy, Trade and Industry (RIETI).
    2. Handel, Michael J., 2003. "Implications of Information Technology for Employment, Skills, and Wages: A Review of Recent Research," MPRA Paper 80077, University Library of Munich, Germany.
    3. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2020. "Labour Market Institutions, Technology and Rent Sharing," IZA Discussion Papers 13155, Institute of Labor Economics (IZA).
    4. Meng, Xin & Junankar, Pramod N. (Raja) & Kapuscinski, Cezary A., 2004. "Job Mobility along the Technological Ladder: A Case Study of Australia," IZA Discussion Papers 1169, Institute of Labor Economics (IZA).
    5. Nathalie Chusseau & Michel Dumont & Joël Hellier, 2008. "Explaining Rising Inequality: Skill‐Biased Technical Change And North–South Trade," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 409-457, July.
    6. Fredrik Andersson & Clair Brown & Benjamin Campbell & Hyowook Chiang & Yooki Park, 2008. "The Effect of HRM Practices and R&D Investment on Worker Productivity," NBER Chapters, in: The Analysis of Firms and Employees: Quantitative and Qualitative Approaches, pages 19-43, National Bureau of Economic Research, Inc.
    7. Scott Stern, 2004. "Do Scientists Pay to Be Scientists?," Management Science, INFORMS, vol. 50(6), pages 835-853, June.
    8. Sid Durbin, 2004. "Review of Workplace Skills, Technology Adoption and Firm Productivity: A Review," Treasury Working Paper Series 04/16, New Zealand Treasury.
    9. Bauer, Thomas K. & Bender, Stefan, 2001. "Flexible Work Systems and the Structure of Wages: Evidence from Matched Employer-Employee Data," IZA Discussion Papers 353, Institute of Labor Economics (IZA).
    10. Elizabeth Mack & Alessandra Faggian, 2013. "Productivity and Broadband," International Regional Science Review, , vol. 36(3), pages 392-423, July.
    11. Atalay, Enghin & Phongthiengtham, Phai & Sotelo, Sebastian & Tannenbaum, Daniel, 2018. "New technologies and the labor market," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 48-67.
    12. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    13. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2022. "Labour market regimes, technology and rent-sharing in Japan," Economic Modelling, Elsevier, vol. 112(C).
    14. Pascal Petit & Luc Soete, 2002. "Is a Biased Technological Change Fuelling Dualism?," Chapters, in: Mark Setterfield (ed.), The Economics of Demand-Led Growth, chapter 15, Edward Elgar Publishing.
    15. Mack, Elizabeth A. & Wentz, Elizabeth, 2017. "Industry variations in the broadband business nexus," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 51-62.
    16. Elizabeth A. Mack, 2015. "Variations in the Broadband-Business Connection across the Urban Hierarchy," Growth and Change, Wiley Blackwell, vol. 46(3), pages 400-423, September.
    17. Scott Stern, 1999. "Do Scientists Pay to Be Scientists?," NBER Working Papers 7410, National Bureau of Economic Research, Inc.
    18. Chris N. Sakellariou & Harry A. Patrinos, 2004. "Technology, computers and wages: evidence from a developing economy," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(3-4), pages 543-543.
    19. Merkuryeva, Irina S. & Paramonova, Elena N. & Bitina, Julia M. & Gilchenok, Veronika L., 2006. "Economic analysis based on matched employer-employee data: Methodology of data collection and research," Working Papers 805, Graduate School of Management, St. Petersburg State University.
    20. John M. Abowd & Françis Kramarz & Antoine Moreau, 1996. "Product Quality and Worker Quality," Annals of Economics and Statistics, GENES, issue 41-42, pages 299-322.
    21. Spitz, Alexandra, 2004. "Using Methods of Treatment Evaluation to Estimate the Wage Effect of IT Usage," ZEW Discussion Papers 04-67, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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