2011
DOI: 10.1111/j.1467-999x.2011.04123.x
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A Mathematical Approach to Harrod's Open Economy Dynamics

Abstract: This paper investigates an open economy dynamic model in the Harrod tradition. Its goal is to check if in accordance with Harrod's thought, opening to foreign trade is able to reduce the cyclical instability the economic system exhibits when it is closed to the international trade. We show that the system's dynamic behavior depends on changes in the saving rate, the competitiveness of home products in the foreign markets and the initial sign of the balance of trade. We demonstrate that stable cycles are possib… Show more

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Cited by 8 publications
(16 citation statements)
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“…However, with calibrations 2 and 3, we displayed sub-optimal results to provide a context for our results. In fact, qualitatively, we obtain similar values to the ones in [34]. Moreover we concur with this conclusion "when the value of is large enough, the long period dynamics of the saving rate is such that it can generate an irregular cycle in the system only if the net export rate is very low.…”
Section: Results and Analysissupporting
confidence: 88%
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“…However, with calibrations 2 and 3, we displayed sub-optimal results to provide a context for our results. In fact, qualitatively, we obtain similar values to the ones in [34]. Moreover we concur with this conclusion "when the value of is large enough, the long period dynamics of the saving rate is such that it can generate an irregular cycle in the system only if the net export rate is very low.…”
Section: Results and Analysissupporting
confidence: 88%
“…Since the problem is not convex, the optimization algorithm may converge to a local optimal solution. To better explore the space of the optimal solutions, we introduce a multi-start algorithm: the optimization is then run several times starting from a randomly perturbed sample draft from a distribution centred in the parameter setting provided in [34]. Original data as provided in [34] and calibrations.Ḡ = max G n .…”
Section: Results and Analysismentioning
confidence: 99%
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