Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
I propose an econometric model to interpret the flow of macroeconomic data releases that are useful to assess the state of the Mexican economy. I estimate the relevance of both Mexican and US indicators for predicting Mexican GDP, using a nowcasting model that can be continuously updated as new data are released. The model produces forecasts that have better accuracy than Surveys of Professional Forecasters, and shows the high relevance of US data in the real-time process of forecast updating. These results encourage a more frequent use of external indicators in short-term GDP forecasting in small open economies.