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Does the Solow Residual for Korea Reflect Pure Technology Shocks?

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  • Hyunjoon Lim
  • Sangho Kim

Abstract

This study investigates the relationship between the measured Solow residual and demand side variables for the Korean economy. The measured Solow residuals are shown to be Granger-caused by some demand side variables such as exports, M1, and government expenditure. A vector error correction model is constructed to investigate dynamic relation between these demand side variables and the Solow residual. Impulse response functions shows that the measured Solow residual moves pro-cyclically with the demand shocks, and that the forecast error variance of the measured Solow residual is mostly explained by past innovations of these demand side variables

Suggested Citation

  • Hyunjoon Lim & Sangho Kim, 2004. "Does the Solow Residual for Korea Reflect Pure Technology Shocks?," Econometric Society 2004 Far Eastern Meetings 777, Econometric Society.
  • Handle: RePEc:ecm:feam04:777
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    File URL: http://repec.org/esFEAM04/up.23104.1081758294.pdf
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    References listed on IDEAS

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    9. Phillips, Peter C. B., 1998. "Impulse response and forecast error variance asymptotics in nonstationary VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 21-56.
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    Cited by:

    1. Sangho KIM & Hyunjoon LIM & Donghyun PARK, 2007. "The Effect of Imports and Exports on Total Factor Productivity in Korea," Discussion papers 07022, Research Institute of Economy, Trade and Industry (RIETI).
    2. Sangho Kim & Hyunjoon Lim & Donghyun Park, 2009. "Imports, exports and total factor productivity in Korea," Applied Economics, Taylor & Francis Journals, vol. 41(14), pages 1819-1834.
    3. Kim, Sangho & Lim, Hyunjoon & Park, Donghyun, 2010. "Productivity and Employment in a Developing Country: Some Evidence from Korea," World Development, Elsevier, vol. 38(4), pages 514-522, April.

    More about this item

    Keywords

    Solow residual; Productivity shock; Vector error correction model;

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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