We are analyzing the ranking changes of countries based on an economic index to determine whether these variations are significant. For example, Country A moves from rank 5 to rank 3, representing a 40% improvement, while Country B moves from rank 50 to rank 48, showing only a 4% improvement. Although both countries have moved up by two positions, the percentage change reveals that the improvement is far more significant for Country A than for Country B.
Using rankings to compare performance is broadly used in social sciences suchs as economics, sociology and psychology. It makes sense because it simplifies complex data, and facilitates comparative analysis. Sometimes the exact numerical score of indices might be less important than understanding where a country stands relative to others, especially if the goal is to identify leaders and laggards. Economic indices often aggregate multiple indicators (e.g., Human Development Index ), making direct comparisons of the underlying data complex. Rankings distill this complexity into a single, digestible figure that facilitates comparison across multiple dimensions. The non-linear nature of rankings in this context (not equal intervals between ranks) might justify that rank percentage changes can better reflect the relative importance of shifts across different positions.
This raises the question: Is it more meaningful to assess ranking changes using percentage changes rather than absolute changes when dealing with ranking data? Are there academic references that discuss this issue, and what conclusions do they provide?