Brief Description:This course consists of two parts. The first part introduces tools for solving and estimating linearized, full-information, dynamic stochastic general equilibrium (DSGE) models. Students will develop tools in matlab to solve and estimate medium-scale DSGE models using several approaches. Part two of the course explores alternatives to the full-information, rational expectations paradigm. Course Syllabus:Linked here. The syllabus includes an updated list of readings. Office Hours: Wednesdays: 1:30pm to 2:30pm Please sign up here for office hours! Problem Sets:Other Resources:Solving the linearized RBC model with a stochastic trend, example code. A second version of the same model, using matlab to output a non-symbolic file for fast evaluation. A third version of the same model, though with stationary productivity, solved using value function iteration. |

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