An endogenous growth model with R&D uncertainty

內生增長模型與研發不確定性

Student thesis: Master's Thesis

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Author(s)

  • Fangge LIU

Related Research Unit(s)

Detail(s)

Awarding Institution
Supervisors/Advisors
Award date4 Oct 2010

Abstract

This thesis investigates the interplay between uncertainty, technological innovations, and economic growth in an overlapping-generations model. By introducing random shocks into the process of an expanding variety of intermediate products, the analysis provides insight into the potential connection between research and development (R&D) uncertainty and economic growth in a stochastic version of Romer's model of technological change. Overall, the thesis presents a new perspective on studying the effects of short-run shocks on long-run growth through R&D activities. The comparative analyses show that long-run mean growth is sensitive to factors such as rate of intertemporal substitution, variance of exogenous shocks, and persistence of shocks.

    Research areas

  • Technological innovations, Uncertainty, Economic development, Endogenous growth (Economics), Mathematical models