GRAPE - Research Group on the Analysis of Economic Policies

GRAPE is a research group based in Rome and organized around a collaboration among researchers affilated to the National Research Council (Ceris-CNR, "Institute for Economic Research on Firms and Growth" and Istc-CNR, "Institute of Cognitive Sciences and Technologies") and the Department of Economics and Law at the University of Rome La Sapienza.

GRAPE is kindly hosted by Labss - Laboratory on Agent Based Social Simulation, a highly interdisciplinary research group working in the field of cognitive, social and computational sciences, within Istc-CNR.

GRAPE aims at exploring the intersection of economics, econometrics and computation by applying computational techniques to all branches of economic modelling including market modelling, organizational design of complex systems, policy evaluation and networks.

Research methods include agent-based computational modelling, computational econometrics and statistics and simulation approaches. The group's activity is dedicated to stimulating discussion at the forefront of economic and econometric research for policy analysis and advice for policymaking.

GRAPE is sponsored by the International Journal of Computational Economics and Econometrics (IJCEE). and each year the "International Workshop on Computational Economics and Econometrics" (IWcee) is held in Rome to gather scholars from all over the world working on GRAPE related fields of interest.


GRAPE TOPICS OF INTEREST

  • Computational Economics

    Computational techniques applied to economic problems and policies * Agent-based modelling * Control and game theory Econometrics * Economic dynamics * Applied micro and macro * Software development and implementation

  • Econometrics

    Monte Carlo simulation * Robustness and sensitivity analysis * General equilibrium models * Optimisation methods * Bayesian econometrics * Time series analysis and forecasting techniques * Operational research methods with applications to economics * Software development and implementation