This week I didn’t get any work done on my paper. This coming week I will finish my paper, and turn it in on Friday.

## Category: Capstone

This week I finished my beamer presentation and presented my capstone. I received what seemed like very few questions.

In the coming week I’ll put some more work into my paper. It’s almost done, but has a couple more things that should be added to it.

This week I began editing my paper. I also outlined my presentation and began setting it up in Beamer.

Next week I will finish the 2nd draft of my paper. I will also finish my presentation in Beamer.

This past week has been full of midterms. Hence, little progress has been made on my capstone. I did, however, receive some helpful comments on my rough draft from Prof. Edgar.

This next week I want to do what I had hoped to do this week. I want to fully outline my presentation, and edit my paper. Maybe if I’m lucky I’ll even start working on my beamer file.

This past week I finished my rough draft and turned it in. It took a long time because the sources I used were inconsistent with each other. I had to interpret things from each book in terms of the other books in order to make it all work well together.

In the coming week, I hope to start outlining my presentation and start editing my paper. Prof. Munson will also be going over the math in my paper to make sure it’s right.

Last week I was not able to get any further work done. My plans for this week are to do any necessary additional research as I write my rough draft. Hopefully by the end of this week my rough draft will be well on its way to being finished, or finished already.

This past week I did not put as much time into my project as I would have liked to, but still managed to be somewhat productive. While searching for information on the advantages of panel data, I stumbled across a web page for a graduate level course called “Applied Econometrics: Topics in the Analysis of Panel Data” taught by William H. Greene.

William H. Greene is a very well-respected author in the field of econometrics, and apparently a professor of economics at NYU. The web site has power points for all of his lectures, and will be incredibly valuable in helping me learn and explain panel data modeling.

Professor Hunnicutt from the ECON department here at PLU is also letting me borrow one of her graduate level textbooks on econometrics. William H. Greene also happens to be the author of that.

This week I outlined my paper in LaTeX (Burns Capstone Outline). I also began searching for a good proof regarding panel data to include in my paper. What I’ve found so far are rather lengthy and technical papers with titles that sound appealing for my purposes.

Next week I plan on reading through some of the materials I have gathered. This will be a continuation of searching for a good proof, as well as gathering information to include in my paper. I may also begin filling in my outline, if time allows.

This week I spent about five minutes writing a very broad outline of my paper. I then went to Prof. Munson’s office to go over it with her. She said it looked good.

What I need to do next is type my outline in LaTeX and start filling it in with detailed information. Also, I was told that a proof exists that would be great to include in my paper. Thus, I will also spend some time searching for that proof.

So far this week all of my attempts to work on my project have been interrupted by homework for other classes. Hopefully progress will be made between now and the weekend. What I want to accomplish is a very broad outline of what I need to do, and what I am working towards. I’ll attempt to do this informally below, and then clean it up later.

What I have done so far is break the simplest form of the panel data model down into terms of x’s and y’s. What I’d like to do next is write out why the panel data model is awesome, and back it mathematically (in an informal way). Then I need to break down specific variations of the model, and explain them. Finally, I was told that I can prove that the variance in a panel data regression is less than that of an ordinary least squares regression, and I think that doing this may add necessary mathematical rigor. When I finally have what I plan on doing completely laid out, I’ll meet with Prof. Munson again to see if I need to make any changes.