代写Econ 345: Applied Econometrics Independent Research Project – Term Paper代做Python编程

Econ 345: Applied Econometrics Independent Research Project - Term Paper

Choose a topic and hypothesis of your choice, find an appropriate dataset, estimate a regression model, and present your model and results in a written academic essay (i.e. term paper). You can choose any topic or dataset that might interest you. If you need some inspiration, https://ourworldindata.org/ has fascinating long-run datasets, but you are welcome to use any data to answer any question you are interested in (for example: does smoking affect babies’ birthweight? Has the introduction of airbags/seatbelts lowered car accident deaths? Has the BC carbon tax lowered CO2  emissions? etc.).

Submit a half-page research proposal, as a PDF document, outlining the question you want to tackle and what data you are planning to use, including references. Your final project may deviate from this proposal.

Present your results in the form. of a written academic essay (maximum length of 3 pages + references).

-     The final project must be submitted via Brightspace as a PDF document. Files submitted as Word document or Pages files will not be accepted and count as not submitted.

-     You must also submit your data and R-code used to estimate the models in your project via Brightspace.

The essay should bean academic piece of writing (avoid casual language, bullet points, make sure you correctly cite the relevant literature, and do not copy and paste R-code or output into the main text). The essay should follow a clear and coherent structure, for example you could structure your paper as:

1) Introduction

Stating your hypothesis, explain why this topic is important and relevant, what related literature already exists (correctly citing relevant papers), and how your work contributes to the existing literature on this topic.

2) Data

Describe your data (including sources and descriptions of variables), ideally including a well-labelled Figure.

3) Methods

Describe your estimated model (ideally as an equation), justify the functional form. you choose (log, quadratic, etc.) and what assumptions you make in your model, and whether these assumptions are reasonable in your

context.

4) Results

Show your estimated model results in a Table including: coefficients, standard errors, number of observations, and R-squared (see below for an example in Table 1). Interpret your results carefully, conduct and interpret hypotheses tests (individual and perhaps joint tests). Do not copy and paste R-output or code (also no screenshots), but instead present your results in a clear manner so that someone not familiar with your data and code can understand it. Be careful about causal interpretations!

Table 1: Estimation Results	Dependent Variable = log(wage)
Intercept	1.02 (0.52)
Experience	0.55 (0.33)
Experience2	-0.05 (0.03)
Education	0.72 (0.23)
Number of Observations	342
R-Squared	0.76
Standard errors shown in parentheses.

5) Conclusion

Summarise your results and discuss what you conclude based on your findings, consider shortcomings of your model and future research if you were to explore this question further.

6) References

References to the literature and data used.

Assessment:

The essay will be assessed based on the following criteria:

1.   Structure & Presentation (50%)

a.   Is the research questions clearly defined, the paper clearly structured and coherently written?

b.   Are the results presented clearly, with standard errors reported, all Figures labelled, and regression results shown in a clear Table?

2.   Technical Correctness, Interpretation, & References (50%)

a.   Is the interpretation and estimation technically correct, and are the results discussed and interpreted carefully?

b.   Are data and relevant literature properly referenced?

3.   Length:

a.   Is the paper within the three-page limit (excl. references)? (-5% per page over limit)