Bristol Chinas Interest Rates and Inflation Trends A Case Study Research Report
ANSWER
1. Select a Subject That Is Interesting and Relevant:
Choose a subject that relates to your company or economic interests. You must be genuinely interested in the subject since you will remain motivated throughout the project.
2. Specify the Research Question: Create a precise and succinct research question your project will answer. This question should guide your analysis and study.
3. Data Gathering: Identify and compile the information you need for your project. Ensure your data is accurate, pertinent, and suitable for time-series econometric research.
4. Conduct a thorough literature study to learn what research has previously been done on your chosen subject. This will assist you in laying the groundwork for your project and spotting gaps in the body of knowledge that your work can fill.
5. Methodology Selection: Decide which econometric methods will best help you respond to your research issue. You will probably work with methods like ARIMA models, cointegration analysis, VAR models, etc., because your research requires time-series analysis. Explain why you choose a particular approach.
6. Data Preparation: Whenever necessary, clean, preprocess, and transform your data. This can entail addressing missing values, changing variables, and ensuring your data is in an analysis-ready shape.
Apply the selected econometric techniques to estimate your models in step seven. To do the analysis, use a program like EViews. Discuss the economic relevance of your estimations’ conclusions and how to interpret them.
8. Results Comparison: If your project requires you to compare your findings to those of previous studies or other methodologies, be careful to compare clearly and explain any differences you find.
9. Robustness tests: Use sensitivity analysis or robustness tests to assess the durability of your conclusions. This may entail experimenting with other model parameters or utilizing alternative econometric techniques to confirm the validity of your conclusions.
10. Interpretation and Discussion: Discuss the findings in light of your research problem. Please discuss your findings’ ramifications and how they add to the corpus of existing knowledge. Address any study flaws and make suggestions for future research areas.
11. Presentation and Reporting: Arrange your conclusions, explanations, and discussions logically and cogently. Create a report or presentation that effectively explains your project’s goals, process, outcomes, and conclusions.
12. Peer review: Please solicit comments from peers or coworkers on your project. You can improve your work’s quality and identify areas that require improvement with constructive criticism.
13. Complete Your Project: Integrate peer feedback and make any necessary changes to your project. Ensure your analysis is complete, your arguments are convincing, and you have formed reasonable conclusions.
14. Conclusion: Recap your findings and highlight your initiative’s advancements in business or economics. Consider the lessons you have gained from the experience.
Remember that effective time management is essential to finishing your assignment on time. Allocate enough time for each stage and break the work into manageable steps. If you run into problems, ask your instructor or academic advisor for advice. Hope your applied time-series econometrics project goes well!
QUESTION
Description
These notes provide advice on how to undertake the applied econometrics project using the skills learnt in the Econometrics course and Eviews Workshops. Each student is required to undertake an individual applied Time-Series Econometrics Project. A wide range of topics is acceptable. It must involve some time-series econometric estimation.Each student is to choose his or her own project topic, but the research should be related to the field of economics or business and requires the analysis of data. The emphasis of the project can vary. For example, a critical summary of the existing work on a topic, followed by your own econometric results. Or, a report based closely on research reported elsewhere is acceptable. But you need to compare their results with yours and try to explain the difference. Your data can be from a different country, or cover a different time period. You might even use the same data, but use a different econometric approach.
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