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Numerical Solution Methods

In: Economic Growth

Author

Listed:
  • Alfonso Novales

    (Complutense University of Madrid)

  • Esther Fernández

    (Complutense University of Madrid)

  • Jesús Ruiz

    (Complutense University of Madrid)

Abstract

To learn about the causes of aggregate fluctuations is one of the basic goals of Macroeconomics. One of the main characteristics of aggregate fluctuations is that business cycles are neither regular nor predictable. Because of that, most economists consider that there are different shocks impinging on the economy, which are different in nature and intensity. These shocks do not follow a known pattern. Observed fluctuations in actual economies are the result of such shocks and the propagation mechanisms associated to them. There are different schools of thought in Macroeconomics whose main difference relates to the type of specific shocks which are accountable for economic fluctuations as well as in the description of their propagation mechanisms.

Suggested Citation

  • Alfonso Novales & Esther Fernández & Jesús Ruiz, 2014. "Numerical Solution Methods," Springer Texts in Business and Economics, in: Economic Growth, edition 2, chapter 0, pages 203-266, Springer.
    • Handle: RePEc:spr:sptchp:978-3-642-54950-2_5
    DOI: 10.1007/978-3-642-54950-2_5
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    Cited by:

    1. He, Yong, 2018. "On the sustainability of maximizing GDP Growth," MPRA Paper 88549, University Library of Munich, Germany.
    2. Smith, Matthew, 2018. "Demand-Led Growth Theory in a Classical Framework: Its Superiority, Its Limitations, and Its Explanatory Power," Centro Sraffa Working Papers CSWP29, Centro di Ricerche e Documentazione "Piero Sraffa".
    3. Sergey Kondyan & Karine Yenokyan, 2019. "The Effect of Foreign Direct Investment on Economic Growth," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 532-564, October.
    4. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    5. Kazunori Nakajima & Hisayoshi Morisugi & Masafumi Morisugi & Naoki Sakamoto, 2014. "Measurement of flood damage due to climate change by dynamic spatial computable general equilibrium model," ERSA conference papers ersa14p673, European Regional Science Association.
    6. Piotr Pietraszewski, 2016. "Microeconomic fundamentals of the aggregate production function with constant returns to scale," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 45.

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