... clustering and classification tree methods to analyze Argentine inflation data from 1943 to 2022. Two smoothing techniques are introduced: a measure of temporal contiguity and a rolling majority rule method. The resulting regimes are compared to existing classifications based on their explanatory power...

... of Google searches. In order to quantify the behavioral variables, we implement a Python code using the Pytrends 4.9.2 library. Design/methodology/approach In our study, we assert that models relying solely on economic variables, such as GDP growth, mortgage interest rates and inflation, may lack...