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The Effect of Technology on Economy

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Published:30 September 2022Publication History

ABSTRACT

This research aims to ingestigate the effect of technological progress on capital input. To meet the research objective, the simple closed economy DSGE model was constructed. The Bayesian technique is then employed to estimate the model parameters by using the quarterly detrended data of Thailand, which covers the period between 2001:Q1 and 2019:Q2, including GDP, policy rate, and employment. The result showed that technological progress can produce potential effects on major economic variables, namely labor, capital, price, return, consumption, and national income, and fits some previous studies. Therefore, government investment in technology and support for technology development should lead to economic growth.

References

  1. S. Kaihatsu, M. Koga, T. Sakata, and N. Hara (2019). “Interaction between Business Cycles and Economic Growth,” Monetary and Economic Studies, vol. 37, 99–126.Google ScholarGoogle Scholar
  2. M. Khosravi, H. Mehrabi Boshrabadi, A. Ahmadyan, and S. Jalaei (2017). “Impacts of economic shocks on livestock in Iran: a DSGE model approach,” Journal of Livestock Science and Technologies, vol. 5, no. 2, 75–85.Google ScholarGoogle Scholar
  3. U. Aysun and Z. Yom (2021). “R&D Characteristics, Innovation Spillover, and Technology-Driven Business Cycles,” Journal of Industry, Competition and Trade, 1–27.Google ScholarGoogle Scholar
  4. R. Hasumi, H. Iiboshi, and D. Nakamura (2017). “R&D Growth and Business Cycles Measured with an Endogenous Growth DSGE Model,” MPRA Paper 85525, 1-33.Google ScholarGoogle Scholar
  5. J. B. García, Á. H. Rendón, H. Franco, and J. G. Guzmán (2018), “Monetary Policy and Accumulation of Reserves in an Emerging Economy: A DSGE Model for the Colombian Case,” Revista de economía del Rosario, vol. 21, no. 2, 309–339.Google ScholarGoogle Scholar
  6. Q. He, F. Liu, Z. Qian, and T. T. L. Chong (2017). “Housing prices and business cycle in China: A DSGE analysis,” International Review of Economics & Finance, vol. 52, 246–256,.Google ScholarGoogle ScholarCross RefCross Ref
  7. M. Airaudo and M. P. Olivero (2014). “Optimal monetary policy with counter-cyclical credit spreads,” LeBow College of Business, Drexel University, Working Paper Series, vol. 1, 787-829.Google ScholarGoogle Scholar
  8. K. Mavromatis (2018). “US monetary regimes and optimal monetary policy in the Euro Area,” Journal of Money, Credit and Banking, vol. 50, no. 7, 1441–1478.Google ScholarGoogle ScholarCross RefCross Ref
  9. S. Mouabbi and J. Sahuc (2019), “Evaluating the macroeconomic effects of the ECB's unconventional monetary policies,” Journal of Money, Credit and Banking, vol. 51, no. 4, 831–858.Google ScholarGoogle ScholarCross RefCross Ref
  10. A. Goyal and A. Kumar (2020). “A DSGE model-based analysis of the Indian slowdown,” Journal of International Commerce, Economics and Policy, vol. 11, no. 01, 1-60.Google ScholarGoogle ScholarCross RefCross Ref
  11. M. Lorusso and L. Pieroni (2019). “Disentangling Civilian and Military Spending Shocks: A Bayesian DSGE Approach for the US Economy,” Journal of Risk and Financial Management, vol. 12, no. 3, 1-41.Google ScholarGoogle ScholarCross RefCross Ref
  12. J. Jääskelä and R. McKibbin (2009). Learning in an Estimated Small Open Economy Model. Economic Group, Reserve Bank of Australia, 1-45.Google ScholarGoogle Scholar
  13. M. H. Alp and S. Elekdag (2012). Shock Therapy! What Role for Thai Monetary Policy?International Monetary Fund, WP/12/269, 1-48.Google ScholarGoogle Scholar
  14. S. Tanboon (2008), “The Bank of Thailand Structural Model for Policy Analysis,” Bank of Thailand working paper, 1–41.Google ScholarGoogle Scholar

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      cover image ACM Other conferences
      IECC '22: Proceedings of the 4th International Electronics Communication Conference
      July 2022
      106 pages
      ISBN:9781450397131
      DOI:10.1145/3560089

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      Publication History

      • Published: 30 September 2022

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