Probabilistic Surveys to Monitor Population and Societal Change

This chapter examines how probabilistic and longitudinal surveys provide robust, policy-relevant evidence for understanding social, demographic, and economic change. It presents the Italian Life Course Observatory as a strategic infrastructure that integrates four complementary data sources (GUIDE, GGS, SHARE, and IOPP), enabling continuous and comparable monitoring across all stages of life. The chapter highlights the value of probability-based designs for producing reliable indicators, as well as the main operational and methodological challenges—such as response decline, coverage gaps, attrition, and panel conditioning—that can affect policy analyses if not properly addressed. It also shows how the adoption of FAIR principles and interoperable digital infrastructures strengthens data accessibility, transparency, and reusability for public institutions. Overall, the chapter demonstrates how integrated, high-quality longitudinal evidence can support more timely, targeted, and effective policymaking in areas such as education, labour markets, family dynamics, ageing, and social welfare.