The Mathematical Correlation between GDP and Macroeconomic Models
Jinxuan Yang ()
Additional contact information
Jinxuan Yang: Nanjing Shi Ban Qiao Middle School
A chapter in Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025), 2026, pp 541-549 from Springer
Abstract:
Abstract This study focuses on the research of the gross domestic product (GDP) accounting model, systematically sorts out the accounting framework of GDP, and mainly starts from the expenditure approach to deduce the GDP equilibrium conditions in the two-sector, three-sector and four-sector economic models, revealing the formation mechanism and policy implications of the multiplier effect. Meanwhile, by integrating the Aggregate Demand–Aggregate Supply (AD–AS) framework, the inherent linkage between real GDP fluctuations and the macroeconomy’s general equilibrium was rigorously articulated; calculus, linear algebra, and dynamic optimization were then deployed to derive comparative-static results, simulate policy shocks, test stability conditions, and quantify welfare implications across multiple time horizons. Through the scenario analysis of fiscal, tax and international trade policies, the feasibility and application value of the model were verified. Study shows that scientific GDP accounting and model application help accurately measure the economic aggregate and provide a theoretical basis for the formulation of macroeconomic control policies.
Keywords: Mathematical correlation; Global GDP; Macroeconomic models (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-2-38476-585-0_60
Ordering information: This item can be ordered from
http://www.springer.com/9782384765850
DOI: 10.2991/978-2-38476-585-0_60
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().