Oil Dependency of the Russian Economy

Personal Note: it is not the full dissertation but rather its main part (the body). I have written the desired structure at the bottom. Also please make 1. the introduction fairly short and concentrate on the model and empirical results.

Once you have chosen your dataset and the dependent variable(s) of interest, you should try
to find empirical/theoretical articles which deal with your (or a related) topic in order to give
you a starting point for the variables which may or may not be important for your analysis. ((Be careful! Some of these datasets come from published papers. Your job is not to simply replicate the analysis
and arguments of someone else (indeed you will get in lots of trouble for that). Stay away from papers using the
identical dataset; read instead papers analyzing the same question with different data )

After reading about the subject you are then required to estimate your chosen equation by
an appropriate estimation techniques, e.g. OLS, IV, Dynamic Models, Limited Dependent
Variable (LDV), or Panel Data methods. You should use as many of the variables in the dataset
that think are relevant. How you specify your equation is left entirely up to you, but you
should absolutely investigate the validity of your preferred equation. (Note this does not mean you should report 20 different specifications. Just summarize your conclusions - and any
relevant test statistics - from your exploration of alternative specifications)


Alternately, you might use published articles to decide on an empirical research question, and
then try to find data to answer your chosen question. This approach might be adequate if you
want to use time series data to test hypothesis in macroeconomics, international finance and
asset pricing, since dataset for many series for different geographic locations (countries) might
be easily available online.

STRUCTURE:
1. The Introduction:


• You should describe your detailed research question(s). You should lay out the crucial parts of
your argument, explain how your view differs from those of other research in this
area, and give a brief overview of how your work fits into the relevant literature. Itis often nice to close the introduction with a very brief summary of your findings.


2. The Data Set:
 You should start describing the institutional details of the industry/market/country
you’re looking at. Do not, however, inundate the reader with facts; simply tell him or
her the aspects that are relevant.
 Give a brief description of the data set that you are using in the analysis. Be sure to
give definitions of the variables you will be using. Report summary statistics. Provide
tables and/or figures of the interesting features that you want to model with your
data.


3. The Model:


• Describe the econometric methods you are planning to use in the analysis, why
you chose them, and discuss some of the advantages and limitations of your
approach. Also (briefly!) discuss (specification and parameter) tests that you used
to evaluate the robustness of your model.

5. The Empirical Results:


• Report the major findings of your investigation, interpret them, and compare
them to the findings of previous studies. If appropriate, conduct relevant policy
simulations and discuss their implications.


7. References


• Give references of the papers and books that you cited to support your reasoning
while writing your essay.

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