Syllabus Textbook Software Data Homework Other Links Hours |
## Econometrics I## Econ 5243Econometrics I (Econ 5243) is the first course in our Ph.D. level graduate econometrics sequence. This course is appropriate for advanced master's students as well, although those not well versed in linear regression are advised to take Econ 5213 first. There is a much greater emphasis in this course on econometric theory and tools than you'll find in 5213. So, I also advise as a prerequisite a two course sequence in mathematical statistics. In recent years this course has been taught using Davidson and MacKinnon's Econometric Theory and Methods and is suitable only for those who are already reasonably comfortable running regressions and matrix algegra. This page provides links to all important information available on this web site for those enrolled in my Econ 5243 sections this fall. |

- Instructions for obtaining Stata throught the GRAD Plan.
- Resources for learning Stata
- Loading web based data into STATA. Unfortuantely, this only works from Internet Explorer (or other web browsers that support Microsoft's .mht format) at this time.
- Introduction to Stata
- Some of you have asked me, "Why aren't we using SPSS?" Although SPSS is particularly adept at analysis of variance, it is not as well suited for the robust kinds of analyses that I think you should be using. Hence, I picked STATA, which is relatively good at this sort of thing and still offers a reasonably powerful engine for doing the things that SPSS does. Version 9 of STATA made some significant strides in this area. For a comparison of SAS, SPSS, and STATA (older version) see UCLA's software comparison.
- This file contains the instructions for computing two-stage least squares in Stata TSLS in Stata.
- The Stata Starter kit from UCLA. This is particularly valuable for those learning to use Stata. There are a number of online tutorials with notes that are available. To get used to using Stata, I suggest looking at the class notes with movies found here.
- Also, Christopher Baum's book will be available in the
bookstore for a few weeks.
**An Introduction to Modern Econometrics Using Stata.**

- Gretl homepage. Gretl. The MS Windows executable that will install Gretl onto your Windows computer is Here. Also listed are some datasets that you may wish to install.
- Introduction to Econometrics using Gretl. This is a book that is being prepared for use with another textbook. It gives you a pretty good introduction to using Gretl. Gretl Book. Check back regularly because this book is in production and I expect to update it frequently early in the semester.
- Here is a link to the gretl datasets for Davidson and MacKinnon's ETM: Econometric Theory and Methods. Basically, you can click on it to install it. Make sure you install it to the right directory, otherwise gretl won't be able to find it.
- Also, you can consult my gretl page that will contain the links listed above and a few othters.

- Aptech is making GAUSS Light 8.0 available to
students at no cost. I've attached download instructions that you can
pass

along to your students. GAUSS Light at a 100x100 matrix limit and no debugger. Here are the instructions for downloading and installing this version of GAUSS. - Eric Zivot's Gauss Resources page
- This is a manual that I put together many years ago. It is based on an old version of Gauss, but I think the code still works.
- Introduction to Gauss. This will get you started.

- The data sets from Davidson and MacKinnon's site here.
- The gretl data sets can be found here.
- The consumption.txt file from Davidson and MacKinnon. Useful for Introduction to Gauss tutorial above.
- Stata datasets from Stock and Watson.
- caschool1.txt for use in ETM 2.16 homework. For the Stata part of this excercise you can use caschool.dta, which is already in Stata format.
- The Wage Data from Jeffrey Wooldridge
- The Stata datasets for dynamic models
- The gasoline consumption data from Greene.

- Introduction to Stata. Read this and complete this exercise. My do-file to get the answers is here. (I used the fatality dataset instead of cigarette. This would explain some of the questions I got about the tax variable. Oops!
- Introduction to Gauss. This will get you started. Install Gauss or use it from the CBA lab. Download the data and work through this example. The next assignment will be based on this so don't procrastinate.
- Distributions in Stata or gretl. Complete the following exercise using Stata (or Gauss). The exercises to which you are referred are here.
- Complete exercises 1.23 and 1.24 in ETM. Use Stata or Gretl.
- Complete Part I of the following exercise.
- Complete Part II of this exercise.
- Exploring leverage and influence in the caschool data.
- Complete the following (due on exam 2 test day).
- Complete the following (Due 27 November)
- Complete the following (Due at final exam)

- Jeffrey Wooldridge textbook site
- Latex
and related links. Here you will find some links to sites
that will help you get started with LaTex, if you are so inclined. If
you are just getting started using TeX the go first to Getting Started.
LaTex (pronounced Lay-Tek) is actually a package that makes TeX
(pronounced Tek) much easier to use. According to the Tex User Group
FAQ "TeX ix a typesetting system written by Donald E. Knuth, who says
in the Preface to his book on TeX (see books about TeX) that it is
'intended for the creation of beautiful books - and especially for
books that contain a lot of mathematics'." If you ever plan on writing
professional
papers or books (dissertations) then I highly recommend that you learn to use this system. For example, your textbook was typeset by the authors using TeX.*looking*

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