| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 5 | |
| Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202021402009 | |
| Published online | 07 December 2020 | |
Analysis on Sub-Prime Debt Crisis
Educhina Bela International High School, Beijing, China
Economic crises, such as Subprime Mortgage Crisis in 2008, European Debt Crisis in 2010, and stock market disaster in 2015, have become an essential concern for people and governments. People cannot help wondering what economic crises will bring to our country and life. Why will economic crises bring about these changes? What should people do to deal with these changes? This article interprets the core economic indicators, such as GDP, Inflation, Unemployment Rate, and the mechanism of Philips Curve. Based on the results of data analysis, people will find the relationship between unemployment rate and inflation rate. Finally, role and impact of fiscal and monetary policies in economic crisis will be transparent. As a result, economists can have the optimal way of analyzing the dynamic economic growth [1].
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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