Journal article

Publication year: 2000

Pages: 247-259

Journal: Empirical Economics

Volume number: 25

Issue number: 2

DOI Link: https://doi.org/10.1007/s001819900015

Publisher: Springer

Abstract: 

Different stochastic simulation methods are used in order to check the robustness of the outcome of policy simulations. The application of a macroeconometric disequilibrium model of the West German economy to a fiscal policy simulation is taken as an example. Due to nonlinearities arising from regime specific reactions inside the model, confidence intervals for the simulation results have to be obtained by means of stochastic simulations. The robustness of the results is assessed using different methodologies. In particular, different methods for the generation of uniform error terms and their conversion to normal variates are applied. These methods include standard approaches as well as quasi-Monte Carlo methods.

Harvard Citation style: Franz, W., Göggelmann, K., Schellhorn, M. and Winker, P. (2000) Quasi-Monte Carlo methods in stochastic simulations: An application to policy simulations using a disequilibrium model of the West German economy 1960–1994, Empirical Economics, 25(2), pp. 247-259. https://doi.org/10.1007/s001819900015

APA Citation style: Franz, W., Göggelmann, K., Schellhorn, M., & Winker, P. (2000). Quasi-Monte Carlo methods in stochastic simulations: An application to policy simulations using a disequilibrium model of the West German economy 1960–1994. Empirical Economics. 25(2), 247-259. https://doi.org/10.1007/s001819900015