ABSTRACT
Rankings play a crucial role in determining the allocation of public funds for economics education and research. They have a significant impact on the development of economic knowledge and policies. Therefore, a biased and misinterpreted rankings system would inevitably lead to poor economic expertise and unfair economic policy. It is also important to note that since the Marginalist Revolution, a large amount of economic knowledge has been attained through mathematical modeling. It is undeniable that mathematical models, as a source of knowledge, are widely perceived as dominant approaches within the discipline. A new perspective on mathematical models, based on scientific understanding, could help reduce the fragmentation and excessive importance of rankings in economic sciences. It could also lead to more reasonable and broader interpretations of quality signaling through rankings.
