Computational Methods Applied to Economics
1
2021-2022
03672079
Economics
Portuguese
English
Face-to-face
SEMESTRIAL
7.5
Elective
3rd Cycle Studies
Recommended Prerequisites
N.A.
Teaching Methods
Lectures, tutorial and computer simulations.
Learning Outcomes
1. Identify economic problems whose resolution involves the use of numerical methods.
2. Computationally implement economic models.
3. Apply some classical numerical methods.
4. Simulate and evaluate results.
Work Placement(s)
NoSyllabus
1. Quantitative macroeconomics
a. Real Business Cycles (RBC) models.
b. Rational expectations.
c. Analysis of Dynamic Stochastic General Equilibrium (DSGE) models.
2. Microeconomic dynamic models.
a. Models of industrial dynamics.
b. Agent Computational Economics (ACE) models.
c. Nelson-Winter model.
Head Lecturer(s)
Carlos Manuel Gonçalves Carreira
Assessment Methods
Assessment
Presentation of a lecture (30%), letter (30%) and final test (40%). : 100.0%
Bibliography
J. Adda; R. Cooper. Dynamic economics. MIT Press, 2003.
C. Carreira. Dinâmica industrial e crescimento da produtividade. Celta Editora, 2006.
T. F. Cooley (ed.). Frontiers of Business Cycle Research. Princeton University Press, 1995.
B. Heer; A. Maussner. Dynamic General Equilibrium Modeling. 2nd ed., Springer, 2009.
K.L. Judd. Numerical methods in economics. MIT Press, 1998.
R. Marimon; A. Scott (eds.). Computational Methods for the Study of Dynamic Economies. Oxford University Press, 2001.
L. Tesfatsion; K. L. Judd (eds.). Handbook of computational economics (Vol. 2). North-Holland, 2006.