End of Semester almost: Post all the studying you have left.....

[Cornell Fiji]

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Senior at Cornell. I have a lot due coming up but I work well with my back against the wall.


6 page paper due tomorrow at 10:10 on the economic effects of differing immigration policies. We are not supposed to go over the page limit and must include in body graphs that count toward the 6 pages. I have not read up on the subject nor have I started the paper.

6-10 page paper due at 11:40 on Wednesday where we were given a 3 page hypotetical labor law case and we are told that the employer challenged a union authorization vote. We are supposed to argue both sides of the case using cases which we are to look up on our own. We are supposed to decide how the judge would rule and explain the justification (standard law school type paper.) I have done minimal research on the cases to be used. I have not written a word but do not anticipate this being too tough.

10 page statistics in class presentation and paper due on thursday at 1:00pm. It has something to do with multiregressional analysis or something... We were supposed to be working on it for a couple months, I have not selected a topic nor do I have any idea how to do multiregressional analysis. I am not excited about this.

25-30 page paper due on Monday on why Mexican illegal immigrants in LA are more likely to join a union and start a union than other minority groups or whites. I have to read a few books and do some independant thoughs on the topic. I have not written or read a page but I do not think that this should be too difficult.

I also have two exams coming up in 2 weeks but I am not sure when they are.

I am going to take a nap now and then I will probably be spending a good amount of time on 2p2 for the next few days.

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Obv I meant multi variable regression models... the fact that i couldn't even think of what my project on might be a bad sign...

If anyone has a good idea for what I should be examining (could be anything except for the factors that influence baseball players salaries as the professor said he has seen that project done too many times) I would appreciate any suggestions. Easily avaliable data sets such as info from the census would be preferred