In this assignment, you will investigate the dynamic relationship between hydropower con-
sumption and CO2 emissions along with some other variables, using time series techniques and
compare your results with the panel approach of Perone (2024). The aim is to deepen our
understanding of how hydropower can contribute to a more sustainable future and to compare
the results of time series approaches with those obtained from panel data analyses.
sumption and CO2 emissions along with some other variables, using time series techniques and
compare your results with the panel approach of Perone (2024). The aim is to deepen our
understanding of how hydropower can contribute to a more sustainable future and to compare
the results of time series approaches with those obtained from panel data analyses.
You are free to use R, Python or Matlab. You are allowed to use existing packages. You
need to add comments to the code to clarify the function of each operation in the code.
4. You are allowed to use LLMs such as GPT to help you with coding. However, you are
not allowed to use GPT generated text in your assignment. If detected, these
cases will be send to the examination board. You must use your own words and
sentences in the report you will submit.
5. The assignment should be maximum 25 pages, including tables, figures; excluding
references.
6. In your report, you should explain how the results are obtained, why a specific choice
(model, variables, long-run relationships, . . .) is made and give an interpretation of the
results.
7. A file must be uploaded in pdf format to Canvas before the deadline mentioned above.
You must upload also all the R/Python/Matlab codes used to obtain the answers. The
code should be clear and well commented.
need to add comments to the code to clarify the function of each operation in the code.
4. You are allowed to use LLMs such as GPT to help you with coding. However, you are
not allowed to use GPT generated text in your assignment. If detected, these
cases will be send to the examination board. You must use your own words and
sentences in the report you will submit.
5. The assignment should be maximum 25 pages, including tables, figures; excluding
references.
6. In your report, you should explain how the results are obtained, why a specific choice
(model, variables, long-run relationships, . . .) is made and give an interpretation of the
results.
7. A file must be uploaded in pdf format to Canvas before the deadline mentioned above.
You must upload also all the R/Python/Matlab codes used to obtain the answers. The
code should be clear and well commented.