Econometrics is the art of making sense of numbers. It uses mathematical and statistical tools to analyze economic data, test hypotheses, and estimate relationships between variables. In practice, econometrics bridges the gap between economic theory, which predicts how variables should interact, and real-world data, which record how variables change together. Econometrics does more than identify correlations: it seeks out causes, distinguishing what actually produces a given effect. By combining mathematical tools, statistical data, and economic theory, it turns a mass of information into clear explanations and useful forecasts.
This is precisely where Insee, the Institut national de la statistique et des études économiques, finds its purpose: by combining the production of data and statistics with analysis, the institute enables us not only to know what is happening, but also to understand why—and sometimes to predict what may happen next. Unlike most national statistical institutes, whose work stops at collecting and disseminating data and statistics, Insee also conducts studies and analyses. Insee therefore informs public debate at both levels.
The data and statistics it produces form the basis for rigorous econometric analyses aimed at identifying causal relationships (see box): why does a particular variable change in this way? How does one factor influence another? What are the tangible effects of a reform? In doing so, Insee turns data into a tool for guiding decisions. Econometrics serves public policy.
