Some suggestions: Try different specifications for your model, for example, you may want to try a double-logarithmic model as well as a model in levels. Consider including squares of variables, including interaction terms, or creating additional dummy variables if that should be a good idea. Examine your dataset carefully; for example, perhaps you will want to delete observations that you think do not make sense. Try to be creative and critical. Try to do things like add extra regressors if that should be possible. Sometimes relationships between variables in your dataset are very unlikely to be linear. Multiple regressions are very often more informative than simple regressions for the reasons discussed. Be aware that your instructor will only be able to judge your work on what you hand in, and not on all the work you may have done but cannot be found back in your final product. Also, take great care not to misinterpret output or draw conclusions that are verifiably incorrect.

2. Schooling in Ohio

The relevant files for this project are "discrim.txt" and "discrim-README.txt"; both can be found within the zipped file "Term-Paper.zip". The data in "ohiosch2006.txt" is about schooling and other relevant characteristics of students attending various schools in Ohio. Please read the README (discrim-README.txt) file to get an idea about the details of the data file.

Based on this data set, formulate a sensible question to investigate and carry out a sound econometric analysis along the lines indicated above.

Price: $12.53

Solution: The downloadable solution consists of 5 pages, 753 words.
Deliverable: Word Document