Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024)

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Relationship between Inflation Rate, Unemployment Rate and Wage Level in China Based on Multiple Linear Regression Model

Authors
Yingwen Qin1, *
1Central University of Finance and Economics, Beijing, China, 102206
*Corresponding author. Email: 2022311326@email.cufe.edu.cn
Corresponding Author
Yingwen Qin
Available Online 24 February 2025.
DOI
10.2991/978-94-6463-652-9_23How to use a DOI?
Keywords
Wage Level; Inflation; Unemployment; Multiple Linear Regression
Abstract

Inflation and unemployment rate are both important indicators related to a country’s macroeconomic development. Wage level is an essential factor reflecting the livelihood of a nation’s citizens. This paper adopts the method of multiple linear regression, building an econometric model to investigate the impact of inflation and unemployment rates individually and together on wage levels in China in recent 20 years. The empirical results show that there is a significant positive correlation between the unemployment rate and the average wage. One percent increase in the unemployment rate would double the average wage. There is a slight significant negative correlation between the inflation rate and wage level. It may be due to the fact that the relationship between them is non-linear. Besides, they may be influenced by other economic factors such as the social environment and market competition.

Copyright
© 2025 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.

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Volume Title
Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
24 February 2025
ISBN
978-94-6463-652-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-652-9_23How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Yingwen Qin
PY  - 2025
DA  - 2025/02/24
TI  - Relationship between Inflation Rate, Unemployment Rate and Wage Level in China Based on Multiple Linear Regression Model
BT  - Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024)
PB  - Atlantis Press
SP  - 221
EP  - 231
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-652-9_23
DO  - 10.2991/978-94-6463-652-9_23
ID  - Qin2025
ER  -