sylutmacro2sp08 - Economics 387L Macroeconomics II Spring...

Info icon This preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Economics 387L. Macroeconomics II. Spring 2008. Department of Economics, University of Texas Professor: Dean Corbae, O ce: BRB 3.134A, Phone: 512-475-8530 Email: [email protected], web: www.eco.utexas.edu/~corbae O ce hours: Friday, 9-10:30am Teaching Fellows: Bulent Guler, e-mail:[email protected], O ce hrs: Monday, 1-2:30, O ce: BRB 3.120, Martin Dumav, e-mail:[email protected], O ce hrs: Wednesday, 1-2:30pm, O ce: BRB 3.128. Review Sessions: Friday 11-12:30pm, BRB1.118. Syllabus This class will be organized around trying to answer the following ques- tion. What is the optimal (labor, capital, and in fl ation) tax in industrial economies? It will use a simple benchmark environment to answer the ques- tion; a representative agent growth model. For certain variants of the ques- tion, we may need a richer environment. We will often use recursive methods, which will prove useful when you try to solve hard problems on the computer or when you apply game theory (in particular, subgame perfection) to prob- lems where the government cannot commit to a given policy. There will be a midterm (40%) and fi nal (60%), as well as weekly problem sets and computer assignments (P/F-you are allowed one F and after that your grade falls by one place). It is university policy that no professor is obli- gated to provide a makeup exam unless the student provides documentation that he/she could not have been present at the time of the exam due to such events as hospitalization or presence at the funeral of an immediate family member. The following texts will be helpful. (L-S) Ljungqvist, L. and T. Sargent. 2004. Recursive Macroeconomic Theory . Cambridge: MIT Press. Second Edition. (ISBN 0-262-12274-X) (S-L) Stokey, N. and R. Lucas. 1989. Recursive Methods in Economic Dynamics . Cambridge: Harvard University Press. (ISBN 0-674-75096-9) You should treat L-S as background on the articles that I will focus on in class. Material that will be covered intensely in class is denoted with a superscript *. 1
Image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
I. A look at the data Tools: Filters, Reduced form VARs and Structural VMAs, Identi fi cation.
Image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern