Abstract

We present the initial outcomes of a collaboration between INEGI and three major financial institutions in Mexico—Banorte, BBVA, and Santander—for the provision of monthly statistical information based on their transactional data.
In this initial stage, we will be publishing information on payroll disbursement. To achieve this and by standardized algorithmic and computational processes, each banking institution processes statistics by deciles of nominees from their servers. These statistics are calculated for various subpopulation groups formed by the intersection of demographics—gender and age—and residence geography—national, state, and municipal. Finally, the resulting statistics are sent to INEGI, where we validate, merge, and represent them in various interactive visual elements that facilitate access for all types of users.
The frequency and disaggregation of the information will enable its use in studies and analyses of complex issues, as well as in making timely decisions regarding public policy on the evolution of labor market conditions and income distribution.
The outcomes of such collaborations reflect the willingness of private institutions and the potential for leveraging new sources of information to complement the current data from National Statistical Offices. However, we must discuss and work on the different challenges to achieve sustainable collaborations.