CompEc 2025/2026Giorgio Ricchiuti2026-03-07T17:53:16+00:00

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CompEc 2025/2026

Computational Economics
Università degli Studi di Firenze

SYLLABUS

Official Syllabus from University of Florence website

A TENTATIVE PROGRAM

SUGGESTED READINGS

Hommes, C. (2013), Behavioural Rationality and Heterogenous Expectations, ed. Cambridge University Press
Mark Newman (2018) Networks, An introduction, ed. Oxford University Press

TOPICS

1. Introduction to Computational Economics

Notes on Introduction to Computational Economics
Notes on Income Expenditure Model

Script - Static

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""" @author: Giorgio Ricchiuti @website: www.grarchive.net Description Income-Expenditure Model (static) see notes https://grarchive.net/wp-content/uploads/2022/10/NotesIE.pdf """ import numpy as np import matplotlib.pyplot as plt import sympy as sym def static_IE(Z,z): y=sym.Symbol('y') eqn=sym.solveset(Z+z*y-y,y) print(eqn) Z=1000 z=0.8 static_IE(Z, z) Check=Z/(1-z) print('Check: {}'.format(Check))

Script - Dynamic Model

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""" @author: Giorgio Ricchiuti @website: www.grarchive.net Description Income-Expenditure Model (dynamical model) see notes https://grarchive.net/wp-content/uploads/2022/10/NotesIE.pdf """ import numpy as np import matplotlib.pyplot as plt def IE(N, x0,Z,z,phi): x=np.zeros(N) x[0]=x0 y=np.linspace(0, 50000, 11) R=Z+z*y plt.plot(y,R, color="black") plt.plot(y,y) plt.grid(True) plt.axhline(color="black", lw=0.5) plt.axvline(color="black", lw=0.5) for t in range(N-1): x[t+1]=x[t]+phi*(Z+z*x[t]-x[t]) plt.plot([x[t],x[t]],[x[t],x[t+1]], color="blue") plt.plot([x[t],x[t+1]],[x[t+1],x[t+1]], color="red") plt.title("Dynamic IE Model") plt.show() return x x = IE(20,10000,15000,0.53,1) plt.plot(x) plt.title("Time series for Incomce") plt.show

TOOLS

Python (project, anaconda)
LateX (project, example)