As everyone knows that the pandemic broke out seriously at the spiring in 2020, which reaches the peak of the unemployment rate in April. It was the highest rate observed since 1948.The cases increased as time goes by 2020, however, the unemployment rate has kind of slow down afterward. While the cases were increasing, an economics professor stated that “Vaccines are absolutely, 100 percent the answer to economic challenges imposed by the pandemic!" We stay skeptical of this statement so we analyzed the vaccination rate data and the unemployment rate data, since we assumed that the unemployment rate data could be an index reflecting the prosperity of the economy.
Python
- Hsiao-Chien Wei
- Li-Ci Chuang
- Yen Huang
- Yi-Hsuan Hsu
- Yu-Lin Dai
We did not conduct analysis for all of the states but selected target ones which are Tennessee, Arizona, Wisconsin, New Jersey and Indiana.
we choose two index first is unemployment rate and next one obviously is vaccination rate. We choose unemployment rate as our economic index, because we assume it can reflect short term economic situation. Also, because COVID is directly impact human being and the unemployment rate is the most related to people than other economic index such as GDP or CPI.
We concluded that because the current vaccination data available on CDC only cover 3 months from March to May, there is limited data to analyze and easily affected by the result of single month. We also doubt that the unemployment rate was not affected immediately. And there might be some time delay to react. So, we thought that a longer period of observation would help us gain more evidence to verify the relationships. Moreover, correlation does not imply causation. We only take two variables this time, more parameters should be considered in further analysis.