Macroeconomix: An Android Application for Teaching the IS-LM Model in Macroeconomics

Mahdi Oufella ()
Additional contact information
Mahdi Oufella: University of 8 mai 1945

Computational Economics, 2025, vol. 66, issue 5, No 20, 4189-4198

Abstract: Abstract The IS-LM model is a cornerstone of macroeconomics education, providing critical insights into the interactions between monetary and fiscal policies. However, teaching this model poses significant challenges due to the time-intensive nature of manual calculations and the complexity of visualizing multiple markets simultaneously. This paper introduces Macroeconomix, an innovative Android application designed to streamline the study and teaching of the IS-LM model. The app allows users to input 15 economic parameters, instantly calculate equilibrium values, and generate seven interactive, zoomable charts. Additionally, it enables real-time simulation of monetary and fiscal policies, with visual comparisons of “before” and “after” states to analyze policy impacts effectively. With its multilingual interface (English and Arabic) and intuitive design, Macroeconomix enhances the pedagogic experience by saving classroom time, fostering active learning, and making abstract macroeconomic concepts more accessible. This paper evaluates the app's features, pedagogical contributions, and potential for broader adoption in economics education (Advanced Macroeconomics McGraw-Hill Education, 2021).

Keywords: IS; LM model; Macroeconomic modeling; Educational technology; Macroeconomics education; Policy simulation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10614-024-10829-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:kap:compec:v:66:y:2025:i:5:d:10.1007_s10614-024-10829-5

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-024-10829-5

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().