RT Journal Article
T1 Next Reaction Method for Solving Dynamic Macroeconomic Models: A Growth Regressions Simulation.
A1 Alaminos, David
A1 León-Gómez, Ana María
A1 Fernández-Gámez, Manuel Ángel
A1 Santos Ferreira, Tiago
K1 Montecarlo, Método de
K1 Modelos matemáticos
K1 Macroeconomía
AB Recent studies apply the Monte Carlo method to try to solve multiple data problems for dynamic macroeconomic modelssuch as measurement errors, residue correlation, and omitted variables. This paper evaluates the estimate of economicgrowth regressions from the Solow model by applying the Next Reaction Method, similar to the Monte Carlo kineticmethods. Our results indicate that with the said algorithm the estimation of these models improves since they increase thelevels of precision of the existing models simulated with Monte Carlo, achieving faster the convergence of the coefficientsof the variables reduces the possible measurement errors and the level of deviations. These results can be very usefulin their application in dynamic macroeconomic models, which help the estimation challenges of policymakers and otherrelated stakeholders.
PB CSIR-NISCAIR
YR 2020
FD 2020-04
LK https://hdl.handle.net/10630/31814
UL https://hdl.handle.net/10630/31814
LA eng
NO Alaminos, D., León-Gómez, A., Fernández-Gámez, M. A., & Ferreira, T. S. (2020). Next Reaction Method for Solving Dynamic Macroeconomic Models: A Growth Regressions Simulation.
NO http://op.niscair.res.in/index.php/JSIR/index (CC BY-NC-ND)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026