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Paying to Program? Engineering Brand and High-Tech Wages

Author

Listed:
  • Prasanna Tambe
  • Xuan Ye
  • Peter Cappelli
Abstract
We test the hypothesis that IT workers accept a compensating differential to work with emerging IT systems, and that employers that invest in these systems can, in turn, capture greater value from the wages they pay. We show that much of the utility IT workers derive from these systems is from skills acquired on the job. This is principally true for younger workers at employers where skill development is encouraged, and the effects are stronger in thicker markets where workers with newer skills have more outside options. An analysis of the text in online employer reviews supports the notion that IT workers value access to interesting IT systems above most other employer attributes. These findings are important because first, they provide evidence of how worker preferences can influence corporate IT investment decisions; second, because they shed light on factors influencing IT skill development; and third, because they point to a potentially important explanation for returns from IT investments.

Suggested Citation

  • Prasanna Tambe & Xuan Ye & Peter Cappelli, 2019. "Paying to Program? Engineering Brand and High-Tech Wages," NBER Working Papers 25552, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25552
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    1. Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
    2. Bruce Fallick & Charles A. Fleischman & James B. Rebitzer, 2006. "Job-Hopping in Silicon Valley: Some Evidence Concerning the Microfoundations of a High-Technology Cluster," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 472-481, August.
    3. Wai Fong Boh & Sandra A. Slaughter & J. Alberto Espinosa, 2007. "Learning from Experience in Software Development: A Multilevel Analysis," Management Science, INFORMS, vol. 53(8), pages 1315-1331, August.
    4. Sunil Mithas & M. S. Krishnan, 2008. "Human Capital and Institutional Effects in the Compensation of Information Technology Professionals in the United States," Management Science, INFORMS, vol. 54(3), pages 415-428, March.
    5. Robert E. Hall & Alan B. Krueger, 2012. "Evidence on the Incidence of Wage Posting, Wage Bargaining, and On-the-Job Search," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(4), pages 56-67, October.
    6. Peter Cappelli & Keith Chauvin, 1991. "An Interplant Test of the Efficiency Wage Hypothesis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 769-787.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. Sandra E. Black & Lisa M. Lynch, 2005. "Measuring Organizational Capital in the New Economy," NBER Chapters, in: Measuring Capital in the New Economy, pages 205-236, National Bureau of Economic Research, Inc.
    9. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    10. Jarle Moen, 2005. "Is Mobility of Technical Personnel a Source of R&D Spillovers?," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 81-114, January.
    11. Armin Falk & Ernst Fehr & Christian Zehnder, "undated". "The Behavioral Effects of Minimum Wages," IEW - Working Papers 247, Institute for Empirical Research in Economics - University of Zurich.
    12. Scott Stern, 2004. "Do Scientists Pay to Be Scientists?," Management Science, INFORMS, vol. 50(6), pages 835-853, June.
    13. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    14. Sauermann, Henry & Roach, Michael, 2014. "Not all scientists pay to be scientists: PhDs’ preferences for publishing in industrial employment," Research Policy, Elsevier, vol. 43(1), pages 32-47.
    15. Rajshree Agarwal & Atsushi Ohyama, 2013. "Industry or Academia, Basic or Applied? Career Choices and Earnings Trajectories of Scientists," Management Science, INFORMS, vol. 59(4), pages 950-970, April.
    16. Armin Falk & Ernst Fehr & Christian Zehnder, 2006. "Fairness Perceptions and Reservation Wages—the Behavioral Effects of Minimum Wage Laws," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1347-1381.
    17. Prasad, Eswar, 2003. "What Determines the Reservation Wages of Unemployed Workers? New Evidence from German Micro Data," IZA Discussion Papers 694, Institute of Labor Economics (IZA).
    18. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    19. Natalia Levina & Mingdi Xin, 2007. "Research Note---Comparing IT Workers’ Compensation Across Country Contexts: Demographic, Human Capital, and Institutional Factors," Information Systems Research, INFORMS, vol. 18(2), pages 193-210, June.
    20. Ravi Bapna & Nishtha Langer & Amit Mehra & Ram Gopal & Alok Gupta, 2013. "Human Capital Investments and Employee Performance: An Analysis of IT Services Industry," Management Science, INFORMS, vol. 59(3), pages 641-658, November.
    21. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    22. Roach, Michael & Sauermann, Henry, 2010. "A taste for science? PhD scientists' academic orientation and self-selection into research careers in industry," Research Policy, Elsevier, vol. 39(3), pages 422-434, April.
    23. Zucker, Lynne G & Darby, Michael R & Armstrong, Jeff, 1998. "Geographically Localized Knowledge: Spillovers or Markets?," Economic Inquiry, Western Economic Association International, vol. 36(1), pages 65-86, January.
    24. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    25. Soon Ang & Sandra Slaughter & Kok Yee Ng, 2002. "Human Capital and Institutional Determinants of Information Technology Compensation: Modeling Multilevel and Cross-Level Interactions," Management Science, INFORMS, vol. 48(11), pages 1427-1445, November.
    26. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75(4), pages 352-352.
    27. Freedman, Matthew L., 2008. "Job hopping, earnings dynamics, and industrial agglomeration in the software publishing industry," Journal of Urban Economics, Elsevier, vol. 64(3), pages 590-600, November.
    28. Feldstein, Martin & Poterba, James, 1984. "Unemployment insurance and reservation wages," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 141-167.
    29. Sunil Mithas & Henry C. Lucas, Jr., 2010. "Are Foreign IT Workers Cheaper? U.S. Visa Policies and Compensation of Information Technology Professionals," Management Science, INFORMS, vol. 56(5), pages 745-765, May.
    30. Stephen R. G. Jones, 1988. "The Relationship Between Unemployment Spells and Reservation Wages as a Test of Search Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(4), pages 741-765.
    31. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    32. Blau, David M, 1991. "Search for Nonwage Job Characteristics: A Test of the Reservation Wage Hypothesis," Journal of Labor Economics, University of Chicago Press, vol. 9(2), pages 186-205, April.
    33. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    34. Acemoglu, Daron & Pischke, Jorn-Steffen, 1999. "Beyond Becker: Training in Imperfect Labour Markets," Economic Journal, Royal Economic Society, vol. 109(453), pages 112-142, February.
    35. Prasanna Tambe & Lorin M. Hitt, 2012. "The Productivity of Information Technology Investments: New Evidence from IT Labor Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 599-617, September.
    36. Chris Forman, 2005. "The Corporate Digital Divide: Determinants of Internet Adoption," Management Science, INFORMS, vol. 51(4), pages 641-654, April.
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    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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