The writer need to familar with economic model, econometrics specification, data , R studio(only) and empirical findings. ( The paper Proposal and research study for review are in the attchment)
It is an intro to econmetrics class, so only use the skill of Bivariate OLS, Hypothesis Testing, Multivariate OLS, and Dummy Variables .
Along with term paper, please also upload codebook (data sources, description of variables ) and the R script you wrote/developed for the term paper.
My professor take plagiarism very seriously, so please provide plagiarism check.
The sample paper(Econ 3161) is also in the attachment. (.Please do not copy paste any sections/models/tables/results/text from this paper)
I. Title page: Term paper title, your name and the abstract
Abstract: This should be less than 50 words and summarize the topic, methodology, and main findings. It should appear on your title page.
III. Introduction: This section should state the nature and objectives of the project. Make sure to provide some background or motivation for why your project is interesting.
IV. Literature Review: Literature review is a comprehensive summary of previous research on your chosen topic. The literature review surveys scholarly articles, books, and other sources relevant to your particular area of research. It creates a “landscape” for the reader, giving them a full understanding of the developments in the field.
IV. Description of the model. The model should be clearly stated and any equations carefully explained. You should write out the econometric model you plan to estimate, and discuss the expected impact of the exogenous variables in your model.
V. Data description and model estimation. You should use the techniques developed in class to analyze your data and estimate your model. Make sure to describe the dataset you are using by providing summary statistics of important variables. Your results should be reported and discussed in this section and could include:
parameter estimates, standard errors, t-statistics, F-statistics, R-squared, tests for autocorrelation, heteroskedasticity, and possible multicollinearity, as appropriate.
VI. Conclusion. Review the major findings as well as possible extensions for future work. Make sure to mention any limitations of your approach as well as alternative explanations of your results. Policy implications, if any, could also be included in this section.
VII. Tables and graphs. Your paper must include at least one table and one graph. The tables and graphs should be well-labeled and accessible to the reader —do not merely print out your regression output with cryptic variable names directly from R.
Appendix If you have a lot of regression results or other details in your theoretical/statistical model that merit to be included yet, they may distract the reader, you may include them in an appendix.