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Economic Growth in the USA: Econometric Model and Forecast Cover

Economic Growth in the USA: Econometric Model and Forecast

Open Access
|Jun 2026

Abstract

Research background

Economic theory identifies many determinants of economic growth. The role of savings and budget deficits in stimulating growth remains a subject of controversy. This study provides a long-term analysis of the causes of economic growth using the most recent data for the world’s largest economy, while simultaneously examining the role of savings, budget deficits, and R&D expenditures in economic growth.

Purpose

Identification of the causes of economic growth and its forecast for the U.S. economy.

Research methodology

Data from the FRED database for the U.S. economy from 1960 to 2023 was used. A linear econometric model, the OLS method, and statistical tests were applied for the analysis. The forecast for the years 2024–2028 was conducted using the exponential smoothing ETS model and the constructed linear model.

Results

Savings, budget deficit reduction, and R&D expenditures had a positive and significant impact on economic growth in the U.S. However, they were not the only determinants of economic growth. Based on an econometric forecast, it was found that the U.S. economy may experience a slowdown in economic growth between 2024 and 2028.

Novelty

Empirical confirmation of theoretical growth models where savings and technology determine economic growth, incorporating an analysis of current data. It challenges the claims about the negative impact of savings on economic growth and the positive effect of budget deficits on growth. Additionally, it allows for the future development of the research tool used in the study for future analyses, studies and forecast.

DOI: https://doi.org/10.2478/foli-2026-0010 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 194 - 212
Submitted on: Feb 25, 2025
Accepted on: Apr 21, 2026
Published on: Jun 29, 2026
Published by: University of Szczecin
In partnership with: Paradigm Publishing Services

© 2026 Tymoteusz Ochrymiuk, Kacper Grabowski, published by University of Szczecin
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.