Syllabus

Part I - Computation and methods (taught by Vivaldo Mendes)

1- Introduction to computation: Python, Julia, Jupyter Notebooks

2- Modeling techniques for Dynamic Stochastic General Equilibrium Models (DSGEM)

3- Numerical simulation using linearization and perturbation methods.

4- Numerical simulation using projection methods

Part II - Empirical evidence and extensions (taught by Diptes Bhimjee)

5- Empirical evidence on the relationship between money, inflation, and output

6- Extensions to the New Keynesian Model: the cost channel

7- Financial frictions and the credit market

8- Recent topics on monetary policy and financial markets

Main bibliographical references by alphabetic order (other references will be added to each session):

Caraiani, P. (2018). Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques. Academic Press.

Clarida, R., J. Gali and M. Gertler (1999). "The Science of Monetary Policy: A New Keynesian Perspective", Journal of Economic Literature, Vol. XXXVII, 1661--1707.

DeJong, D. N., & Dave, C. (2011). Structural Macroeconometrics, 2nd Edition, Princeton University Press.

Gali, Jordi (2015). Monetary Policy, Inflation, and the Business Cycle, 2nd Edition, Princeton University Press.

Heer, B., & Maussner, A. (2009). Dynamic general equilibrium modeling: computational methods and applications. Springer Science & Business Media.

Judd, K. L. (1998). Numerical methods in economics. MIT Press.

Novales, A., E. Fernández, J. Ruiz, (2014). Economic Growth: Theory and Numerical Solution Methods, Springer.

Walsh, C. (2017), Monetary Theory and Policy, 4th Edition, MIT Press.

Wickens, M. (2012), Macroeconomic Theory: A dynamic general equilibrium approach, 2nd Edition, Princeton University Press.

Afonso a Filipa: Teste final clique aqui Exame clique aqui

Lourenço a Yasnir: Teste final clique aqui Exame clique aqui