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Sectoral and aggregate technology shocks: Is there a relationship?

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  • Werner Hölzl

    (Vienna University of Economics & B.A.)

  • Andreas Reinstaller

    (Vienna University of Economics & B.A. and MERIT - Maastricht University)

Abstract

We analyze sector specific shocks in productivity and demand in 19 manufacturing sectors of the Austrian economy. Based on a structural vector autoregressive (SVAR) model with long run restrictions developed by Gali's (1999) we extract technology and non-technology shocks from sectoral andaggregate data and study their patterns and relationship by means of a principal components analysis. We find a close association of sectoral and macroeconomic non-technology shocks but only a very weak association for technology shocks. Impulse-response analysis indicates that for almost all manufacturing sectors and the Austrian economy productivity growth rates experience an immediate increase to positive technology shocks while the hours worked decline. We therefore confirm Gali's results on the level of manufacturing industries. Finally, we use the identified shocks as explanatory variables in fixed effect regressions on growth rates of employment, output and investment. We find that our shocks are closely associated to employment growth and output growth but not to growth in investment. The effect of technology shocks is different on the level of manufacturing industries and the aggregate economy. (A substaintially revised version of this paper is published in Empirica vol. 32 pp. 45-72)

Suggested Citation

  • Werner Hölzl & Andreas Reinstaller, 2004. "Sectoral and aggregate technology shocks: Is there a relationship?," Working Papers geewp38, Vienna University of Economics and Business Research Group: Growth and Employment in Europe: Sustainability and Competitiveness.
    • Handle: RePEc:wiw:wiwgee:geewp38
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    References listed on IDEAS

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    Cited by:

    1. Ferraresi Tommaso & Roventini Andrea & Semmler Willi, 2019. "Macroeconomic Regimes, Technological Shocks and Employment Dynamics," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 599-625, August.
    2. Werner Hölzl & Serguei Kaniovski & Andreas Reinstaller, 2015. "The exposure of technology and knowledge intense sectors to the business cycle," Bulletin of Applied Economics, Risk Market Journals, vol. 2(1), pages 1-19.
    3. Jürgen Janger & Werner Hölzl & Serguei Kaniovski & Johannes Kutsam & Michael Peneder & Andreas Reinstaller & Susanne Sieber & Isabel Stadler & Fabian Unterlass, 2011. "Structural Change and the Competitiveness of EU Member States," WIFO Studies, WIFO, number 42956, Juni.
    4. repec:hal:spmain:info:hdl:2441/2beljp6noq9u6oh9p9agr8ugra is not listed on IDEAS
    5. Smimou, K., 2011. "Transition to the Euro and its impact on country portfolio diversification," Research in International Business and Finance, Elsevier, vol. 25(1), pages 88-103, January.

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    More about this item

    Keywords

    Economic growth; business cycle; manufacturing industries; technology shocks; employment; SVAR;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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