The Relationship between CPI and Employment and National GDP: Empirical Research Based on French Data
- DOI
- 10.2991/978-94-6463-546-1_26How to use a DOI?
- Keywords
- CPI; GDP; employment; VAR; France; Linkage and impact
- Abstract
With the development of economy and society, many new economic concepts have been proposed, but the development of GDP has always been an important factor in measuring a country’s economic level. If people want to develop GDP, it must understand what factors will have an impact on GDP. If people blindly only stimulate GDP without considering other influencing factors, it may have the opposite effect on the economy. In this article, the data of France, a traditional Western economic powerhouse, from the first quarter of 1998 to the third quarter of 2023 is selected as a reference to explore the impact and connection of CPI and employment on GDP. The study uses the VAR model to model and analyze the data, and uses impulse response diagrams to examine the degree of impact and depth of the connection between these two factors on GDP. The study finally analyzes the reasons why its factors affect GDP, providing reference value for future economists.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yiqi Song PY - 2024 DA - 2024/10/27 TI - The Relationship between CPI and Employment and National GDP: Empirical Research Based on French Data BT - Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024) PB - Atlantis Press SP - 236 EP - 245 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-546-1_26 DO - 10.2991/978-94-6463-546-1_26 ID - Song2024 ER -