Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/54378
Title: Next Reaction Method for Solving Dynamic Macroeconomic Models: A Growth Regressions Simulation
Authors: Alaminos, David
León-Gómez, Ana
Fernández-Gámez, M A
Ferreira, T Santos
Keywords: Monte Carlo algorithms;Next Reaction Method;Solow model;Growth regressions;Macroeconomic models
Issue Date: Apr-2020
Publisher: NISCAIR-CSIR, India
Abstract: Recent studies apply the Monte Carlo method to try to solve multiple data problems for dynamic macroeconomic models such as measurement errors, residue correlation, and omitted variables. This paper evaluates the estimate of economic growth regressions from the Solow model by applying the Next Reaction Method, similar to the Monte Carlo kinetic methods. Our results indicate that with the said algorithm the estimation of these models improves since they increase the levels of precision of the existing models simulated with Monte Carlo, achieving faster the convergence of the coefficients of the variables reduces the possible measurement errors and the level of deviations. These results can be very useful in their application in dynamic macroeconomic models, which help the estimation challenges of policymakers and other related stakeholders.
Page(s): 277-280
URI: http://nopr.niscair.res.in/handle/123456789/54378
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.79(04) [April 2020]

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