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Technological progress, income distribution, and unemployment : theory and empirics

  • 作者: Adachi, Hideyuki, author.
  • 其他作者:
  • 其他題名:
    • Kobe University social science research series.
  • 出版: Singapore : Springer Singapore :Imprint: Springer
  • 叢書名: Kobe University social science research series,
  • 主題: Macroeconomics. , Economic policy. , Economic development. , Econometrics. , Macroeconomics/Monetary Economics/Financial Economics. , R & D/Technology Policy. , Economic Growth. , Econometrics.
  • ISBN: 9789811337260 (electronic bk.) 、 9789811337253 (paper)
  • FIND@SFXID: CGU
  • 資料類型: 電子書
  • 內容註: 1 Growth and Income Distribution Under Biased Technological Progress -- 2 Growth and Income Distribution under Induced Innovation -- 3 Technological Progress and Unemployment -- 4 Empirical Analysis of Biased Technological Progress -- 5 Concluding Remarks -- References.
  • 摘要註: This volume develops original methods of analyzing biased technological progress in the theory and empirics of economic growth and income distribution. Motivated by sharp increases in wage and income inequalities in the world since the beginning of the new century, many macroeconomists have begun to realize the importance of biased technological changes. However, the comprehensive explanations have not yet appeared. This volume analyzes the effects of factor-biased technological progress on growth and income distribution and shows that long-run trends of the capital-income ratio and capital share of income consistent with Piketty's 2014 empirical results emerge. Incorporating the modified version of induced innovation theory into the standard neoclassical growth model, it also explains the long-run fluctuations of growth and income distribution consistent with the data shown in Piketty. Introducing a wage-setting function, the neoclassical growth model is modified to account for unemployment as well as to examine the dynamics of unemployment and the labor share of income under biased technological progress. Applying a new econometric method to Japanese industrial data, the authors test the key assumptions employed and important results derived in the theoretical part of this book.
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  • 系統號: 005448366 | 機讀編目格式
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