Article ID: | iaor20097360 |
Country: | United Kingdom |
Volume: | 59 |
Issue: | 7 |
Start Page Number: | 875 |
End Page Number: | 883 |
Publication Date: | Jul 2008 |
Journal: | Journal of the Operational Research Society |
Authors: | Andr F J, Cardenete M A, Romero C |
Keywords: | programming: mathematical |
This paper aims to show how Compromise Programming, linked with some results connecting this approach with classic utility optimization, can become a useful analytical tool for designing and assessing macroeconomic policies. The functioning of the method is illustrated through an application to the Spanish economy. In this way, starting from a Computable General Equilibrium Model, a frontier of growth–inflation combinations is determined. After that, several Pareto–efficient policies that represent compromises between economic growth and inflation rate are established and interpreted in economic terms.