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BBVA Mexico and Clarity AI study consumption patterns in Mexico Share in addition to the importance of financial development for consumer decision-making. The study of household consumption patterns and payment channels is relevant for inclusive development policies, especially in countries such as Mexico, where 56 out of every 100 workers work in the informal sector. The identification of target variables on which public policies can have an impact to encourage the use of non-cash payment methods is of primary importance and ensures the rapid adoption of new technologies (such as CoDi) or a further deepening of traditional payment channels (cards). The results of the study point to the income level of individuals as the main variable that determines the type of payment channel used most intensively. Lower income levels are associated with higher cash spending, and machine learning models find stronger non-linear relationships for the lowest income levels.  This su

Tomasa rodrigoIgnacio tamaritJaime oliverResearch mexicoConsumption patternsMachine learningஜெய்ம் ஆலிவர்நுகர்வு வடிவங்கள்இயந்திரம் கற்றல்