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Growth, growth fluctuations, and the stages of technological advance

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  • Glismann, Hans H.
  • Horn, Ernst-Jürgen
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    Abstract

    It is a well-established tradition to define the subject before embarking on an investigation. In our case, definition is to be concerned with economic development and scientific-technical progress. The former poses no problem in the economist's profession. According to Mirabeau, every moral or physical advance can be grasped by one indicator, which he called the net product. Today, Mirabeau would probably encounter objections as far as the measurement of moral progress by the net product is concerned, although some would argue that also today morals, as well as gods, are always with the winners. Anyhow, real changes in the availability of goods and services is, according to national and international standards, measured by changes in real net social product; conceptual problems - e.g., of how to treat the non-pecuniary costs (environmental pollution) and benefits (value added of housewives) - are, of course, part of every measurement. What matters here is that the approach as such is hardly controversial.

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    Bibliographic Info

    Paper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number 327.

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    Date of creation: 1988
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    Handle: RePEc:kie:kieliw:327

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    1. Baumol, William J, 1986. "Productivity Growth, Convergence, and Welfare: What the Long-run Data Show," American Economic Review, American Economic Association, vol. 76(5), pages 1072-85, December.
    2. Brunner, Karl & Meltzer, Allan H., 1979. "Three aspects of policy and policymaking: Knowledge, data and institutions," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 1-7, January.
    3. David A. Pierce & Larry D. Haugh, 1977. "Causality in temporal systems: characterizations and a survey," Special Studies Papers 87, Board of Governors of the Federal Reserve System (U.S.).
    4. Zellner, Arnold, 1979. "Causality and econometrics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 9-54, January.
    5. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
    6. Maddison, Angus, 1987. "Growth and Slowdown in Advanced Capitalist Economies: Techniques of Quantitative Assessment," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 649-98, June.
    7. Abramovitz, Moses, 1986. "Catching Up, Forging Ahead, and Falling Behind," The Journal of Economic History, Cambridge University Press, vol. 46(02), pages 385-406, June.
    8. Pierce, David A. & Haugh, Larry D., 1977. "Causality in temporal systems : Characterization and a survey," Journal of Econometrics, Elsevier, vol. 5(3), pages 265-293, May.
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