Journal Impact Factor and Federal Reserve Monetary Policy: An Econometric Analysis Based on 1975-2026
Alex Huang
TL;DR
This study investigates whether the Journal Impact Factor (IF) is systematically related to Federal Reserve monetary policy by using long-run time-series data from 1975-2026 and a period-based regression with three nested OLS models on log(IF). It finds a significant negative relation between IF and the real interest rate during the QE era (2001-2020), while the early period (1975-2000) shows no such link, and the full-sample model explains about 89.3% of IF variation when controlling for a time trend. A Chow test indicates a structural break around 2008, consistent with QE adoption, and robustness checks confirm the results across alternative specifications; the paper also quantifies the economic significance of rate changes on IF. Theoretically, it proposes a four-link transmission chain (monetary policy → research funding → academic output → IF) and provides empirical support for the “financialization of academic capital,” with practical implications for research policy, industry valuation, and the reform of academic evaluation systems. Overall, the work offers a macroeconomic perspective on bibliometrics, highlighting the vulnerability of IF-based evaluation to monetary cycles and suggesting diversification of indicators and open science practices to foster a fairer, more resilient scholarly ecosystem.
Abstract
The Journal Impact Factor (IF), as a core indicator of academic evaluation, has not been systematically studied in relation to its historical evolution and global macroeconomic environment. This paper employs a period-based regression analysis using long-term time series data from 1975-2026 to examine the statistical relationship between IF and Federal Reserve monetary policy (using real interest rate as a proxy variable). The study estimates three nested models using Ordinary Least Squares (OLS): (1) a baseline linear model, (2) a linear model controlling for time trends, and (3) a log-transformed model. Empirical results show that: (i) in the early period (1975-2000), there is no significant statistical relationship between IF and real interest rate ($p>0.1$); (ii) during the quantitative easing period (2001-2020), they exhibit a significant negative correlation ($β=-0.069$, $p<0.01$), meaning that for every 1 percentage point decrease in real interest rate, IF increases by approximately 6.9\%; (iii) the adjusted $R^2$ of the full-sample model reaches 0.893, indicating that real interest rate and time trends can explain 89.3\% of IF variation. This finding reveals the indirect impact of monetary policy on the academic publishing system through multiple channels such as research funding and journal pricing power, providing econometric evidence for understanding the phenomenon of "financialization of academic capital." This study not only enriches the literature on monetary policy transmission mechanisms but also provides a new perspective for valuation analysis of the academic publishing industry.