IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/4562.html
   My bibliography  Save this paper

Skill Biased Technological Change and Endogenous Benefits: The Dynamics of Unemployment and Wage Inequality

Author

Listed:
  • Weiss, Matthias
  • Garloff, Alfred

Abstract

In this paper, we study the effect of skill-biased technological change on unemployment when benefits are linked to the evolution of average income and when this is not the case. In the former case, an increase in the productivity of skilled workers and hence their wage leads to an increase in average income and hence in benefits. The increased fallback income, in turn, makes unskilled workers ask for higher wages. As higher wages are not justified by respective productivity increases, unemployment rises. More generally, we show that skill-biased technological change leads to increasing unemployment of the unskilled when benefits are endogenous. The model provides a theoretical explanation for diverging developments in wage inequality and unemployment under different social benefits regimes: Analyzing the social legislation in 14 countries, we find that benefits are linked to the evolution of average income in Continental Europe but not in the U.S. and the UK. Given this institutional difference, our model predicts that skill-biased technological change leads to rising unemployment in Continental Europe and rising wage inequality in the U.S. and the UK.

Suggested Citation

  • Weiss, Matthias & Garloff, Alfred, 2005. "Skill Biased Technological Change and Endogenous Benefits: The Dynamics of Unemployment and Wage Inequality," ZEW Discussion Papers 05-79, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:4562
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/24175/1/dp0579.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. George A. Akerlof & Janet L. Yellen, 1990. "The Fair Wage-Effort Hypothesis and Unemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(2), pages 255-283.
    2. R. E. Baldwin & G. G. Cain, "undated". "Shifts in U.S. Relative Wages: The Role of Trade, Technology, and Factor Endowments," Institute for Research on Poverty Discussion Papers 1132-97, University of Wisconsin Institute for Research on Poverty.
    3. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    4. Olivier Blanchard, 2006. "European unemployment: the evolution of facts and ideas [‘The macroeconomics of low inflation’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 21(45), pages 6-59.
    5. Matthias Weiss & Alfred Garloff, 2009. "Skill-biased technological change and endogenous benefits: the dynamics of unemployment and wage inequality," Applied Economics, Taylor & Francis Journals, vol. 43(7), pages 811-821.
    6. Robert E. Baldwin & Glen G. Cain, 2000. "Shifts In Relative U.S. Wages: The Role Of Trade, Technology, And Factor Endowments," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 580-595, November.
    7. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    8. 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.
    9. Paul Beaudry & David Green, 2000. "The Changing Structure of Wages in the US and Germany: What Explains the Differences?," NBER Working Papers 7697, National Bureau of Economic Research, Inc.
    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. Jim Allen & Andries de Grip, 2012. "Does skill obsolescence increase the risk of employment loss?," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3237-3245, September.
    2. Melanie Lührmann & Matthias Weiss, 2006. "Market Work, Home Production, Consumer Demand and Unemployment among the Unskilled," MEA discussion paper series 06101, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    3. Horst Feldmann, 2013. "Technological unemployment in industrial countries," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1099-1126, November.
    4. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    5. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.
    6. Joan Muysken & Ehsan Vallizadeh & Thomas Ziesemer, 2015. "Migration, Unemployment, and Skill Downgrading," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(2), pages 403-451, April.
    7. Vallizadeh, Ehsan & Joan, Muysken & Thomas, Ziesemer, 2012. "The impact of medium-skilled immigration: a general equilibrium approach," MPRA Paper 40006, University Library of Munich, Germany.
    8. Matthias Weiss & Alfred Garloff, 2009. "Skill-biased technological change and endogenous benefits: the dynamics of unemployment and wage inequality," Applied Economics, Taylor & Francis Journals, vol. 43(7), pages 811-821.
    9. Heblich, Stephan, 2007. "Eigenverantwortliche Individuen und Pro-Aktive Unternehmen," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-48-07, University of Passau, Faculty of Business and Economics.
    10. Vallizadeh, Ehsan & Muysken, Joan & Ziesemer, Thomas, 2013. "Migration, unemployment, and skill downgrading : a specific-factors approach," IAB-Discussion Paper 201313, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Garloff, Alfred, 2008. "Minimum wages, wage dispersion and unemployment : a review on new search models," IAB-Discussion Paper 200833, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Volkan Han & Oguz Ocal & Alper Aslan, 2023. "A revisit to the relationship between globalization and income inequality: are levels of development really paramount?," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 973-990, February.
    13. Beblav�, Miroslav & Fabo, Brian & Lenaerts, Karolien, 2016. "Demand for Digital Skills in the US Labour Market: The IT Skills Pyramid," CEPS Papers 12055, Centre for European Policy Studies.
    14. Janssen, Simon & Mohrenweiser, Jens, 2015. "The long-lasting effect of technological change on the careers of young workers: Evidence from changes of mandatory training regulations," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112851, Verein für Socialpolitik / German Economic Association.
    15. Hutter, Christian & Weber, Enzo, 2021. "Labour market miracle, productivity debacle: Measuring the effects of skill-biased and skill-neutral technical change," Economic Modelling, Elsevier, vol. 102(C).

    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. Gonzaga, Gustavo & Menezes Filho, Naercio & Terra, Cristina, 2006. "Trade liberalization and the evolution of skill earnings differentials in Brazil," Journal of International Economics, Elsevier, vol. 68(2), pages 345-367, March.
    2. Jorge Saba Arbache, 2001. "Trade Liberalisation and Labor Markets in Developing Countries: Theory and Evidence," Studies in Economics 0112, School of Economics, University of Kent.
    3. Daron Acemoglu, 2003. "Cross-Country Inequality Trends," Economic Journal, Royal Economic Society, vol. 113(485), pages 121-149, February.
    4. Batyra, Anna & Sneessens, Henri R., 2010. "Selective reductions in labor taxation: Labor market adjustments and macroeconomic performance," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 531-543, July.
    5. repec:ilo:ilowps:365055 is not listed on IDEAS
    6. Zhu, Susan Chun & Trefler, Daniel, 2005. "Trade and inequality in developing countries: a general equilibrium analysis," Journal of International Economics, Elsevier, vol. 65(1), pages 21-48, January.
    7. Fang, Chen-ray & Huang, Li-hsuan & Wang, Ming-cheng, 2008. "Technology spillover and wage inequality," Economic Modelling, Elsevier, vol. 25(1), pages 137-147, January.
    8. Hamid Boustanifar & Everett Grant & Ariell Reshef, 2018. "Wages and Human Capital in Finance: International Evidence, 1970–2011 [Financial reform: what shakes it? What shapes it?]," Review of Finance, European Finance Association, vol. 22(2), pages 699-745.
    9. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    10. Yoshiaki Azuma & Herschel I. Grossman, 2003. "Educational Inequality," LABOUR, CEIS, vol. 17(3), pages 317-335, September.
    11. Dupuy, Arnaud & Marey, Philip S., 2008. "Shifts and twists in the relative productivity of skilled labor," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 718-735, June.
    12. Lex Borghans & Bas ter Weel, 2008. "Understanding the Technology of Computer Technology Diffusion: Explaining Computer Adoption Patterns and Implications for the Wage Structure," Journal of Income Distribution, Ad libros publications inc., vol. 17(3-4), pages 37-70, September.
    13. Xuejun Liu & Albert Park & Yaohui Zhao, 2010. "Explaining Rising Returns to Education in Urban China in the 1990s," Trade Working Papers 22720, East Asian Bureau of Economic Research.
    14. Borghans, Lex & Weel, Bas ter, 2001. "What happens when agent T gets a computer?," Research Memorandum 017, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    15. Pi, Jiancai & Zhang, Pengqing, 2018. "Skill-biased technological change and wage inequality in developing countries," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 347-362.
    16. Michal Jerzmanowski & Malhar Nabar, 2013. "Financial Development And Wage Inequality: Theory And Evidence," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 211-234, January.
    17. Jonathan E. Haskel & Matthew J. Slaughter, 1998. "Does the Sector Bias of Skill-Biased Technical Change Explain Changing Wage Inequality?," NBER Working Papers 6565, National Bureau of Economic Research, Inc.
    18. Gallego, Francisco A., 2012. "Skill Premium in Chile: Studying Skill Upgrading in the South," World Development, Elsevier, vol. 40(3), pages 594-609.
    19. Pi, Jiancai & Zhang, Pengqing, 2021. "Redistribution and wage inequality," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 510-523.
    20. Uwe Jirjahn & Kornelius Kraft, 2010. "Teamwork And Intra‐Firm Wage Dispersion Among Blue‐Collar Workers," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(4), pages 404-429, September.
    21. Ketteni, Elena & Mamuneas, Theofanis & Stengos, Thanasis, 2011. "The Effect Of Information Technology And Human Capital On Economic Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 15(5), pages 595-615, November.

    More about this item

    Keywords

    Unemployment; Skill-Biased Technological Change; Benefits;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:zbw:zewdip:4562. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    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.