Topics change from year to year. Most recent topics include: optimal fiscal and monetary policy; optimal capital taxation; time inconsistency and incentive incompatibility of optimal policies; redistribution and political economics; heterogeneous agents and incomplete markets; Real Business Cycle models and new-keynesian models; endogenous growth; aggregate fluctuations and propagation mechanisms; recursive methods and robust control in macro.

The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks.

We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, Maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.