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Computer Knowledge and Earnings : Evidence for Australia

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Abstract

The finding from recent analysis in the United States that computer users earn a wage premium of 10 to 15 percent - together with increased usage of computers by high skill workers - has been interpreted as evidence of the role of technological change in generating widening earings differentials between high skill and low skill workers.

Suggested Citation

  • Borland, J & Hirschberg, J & Lye, J, 1997. "Computer Knowledge and Earnings : Evidence for Australia," Department of Economics - Working Papers Series 571, The University of Melbourne.
    • Handle: RePEc:mlb:wpaper:571
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    1. Lindbeck, Assar & Snower, Dennis J, 1996. "Reorganization of Firms and Labor-Market Inequality," American Economic Review, American Economic Association, vol. 86(2), pages 315-321, May.
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    3. Entorf, Horst & Gollac, Michel & Kramarz, Francis, 1999. "New Technologies, Wages, and Worker Selection," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 464-491, July.
    4. Ann P. Bartel & Nachum Sicherman, 1999. "Technological Change and Wages: An Interindustry Analysis," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 285-325, April.
    5. Miller, Paul & Mulvey, Charles, 1997. "Computer Skills and Wages," Australian Economic Papers, Wiley Blackwell, vol. 36(68), pages 106-113, June.
    6. Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 253-290.
    7. Ernst R. Berndt & Catherine J. Morrison & Larry S. Rosenblum, 1992. "High-Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries: An Exploratory Analysis," NBER Working Papers 4010, National Bureau of Economic Research, Inc.
    8. Eli Berman & John Bound & Zvi Griliches, 1993. "Changes in the Demand for Skilled Labor within U.S. Manufacturing Industries: Evidence from the Annual Survey of Manufacturing," NBER Working Papers 4255, National Bureau of Economic Research, Inc.
    9. David Card & Francis Kramarz & Thomas Lemieux, 1999. "Changes in the Relative Structure of Wages and Employment: A Comparison of the United States, Canada, and France," Canadian Journal of Economics, Canadian Economics Association, vol. 32(4), pages 843-877, August.
    10. 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.
    11. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 367-397.
    12. Levy, Frank & Murnane, Richard J, 1996. "With What Skills Are Computers a Complement?," American Economic Review, American Economic Association, vol. 86(2), pages 258-262, May.
    13. Jeff Borland & Joe Hirschberg & Jenny Lye, 2001. "Data reduction of discrete responses: an application of cluster analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 149-153.
    14. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    15. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
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    Cited by:

    1. Bruce Chapman & James Jordan & Ken Olivier & John Quiggin, 2000. "The Unemployment Trap Meets the Age-Earning Profile," CEPR Discussion Papers 415, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    2. Jeff Borland, 1999. "Earnings Inequality in Australia: Changes, Causes and Consequences," The Economic Record, The Economic Society of Australia, vol. 75(2), pages 177-202, June.
    3. Federico Biagi & Danilo Cavapozzi & Raffaele Miniaci, 2013. "Employment transitions and computer use of older workers," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 687-696, February.
    4. Jenny N. Lye & Joseph G. Hirschberg, 2002. "Tests of Inference for Dummy Variables in Regressions with Logarithmic Transformed Dependent Variables," Department of Economics - Working Papers Series 852, The University of Melbourne.
    5. Vinod Mishra & Russell Smyth, 2014. "Technological Change and Wages in China: Evidence from Matched Employer–Employee Data," Review of Development Economics, Wiley Blackwell, vol. 18(1), pages 123-138, February.
    6. Joaquin Marandino & Phanindra V. Wunnava, 2017. "The Effect of Access to Information and Communication Technology on Household Labor Income: Evidence from One Laptop Per Child in Uruguay," Economies, MDPI, vol. 5(3), pages 1-10, September.
    7. Bruce Chapman & Cezary Kapuscinski, 2000. "Avoiding Recessions and Australian Long-Term Unemployment," CEPR Discussion Papers 418, Centre for Economic Policy Research, Research School of Economics, Australian National University.

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    More about this item

    Keywords

    SKILLED WORKERS ; AUSTRALIA;

    JEL classification:

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

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