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The Italian Survey of Consumer Expectations: Statistical Bulletin

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Abstract

This bulletin introduces the Italian Survey of Consumer Expectations (ISCE), a novel high-frequency survey designed to collect detailed information on the economic conditions,expectations, and behaviors of a representative sample of Italian residents aged 18–75.Conducted quarterly from October 2023 to April 2026, the ISCE provides rich micro-level data on demographics, income, wealth, consumption, and forward-looking expectations across a wide range of economic domains. The survey combines a stable core questionnaire with rotating special modules and experimental components, allowing researchers to analyze both structural trends and causal effects of information and policy interventions. The sampling design ensures representativeness through stratification and weighting based on official statistics, while panel replenishment maintains sample size and mitigates attrition. A distinctive feature of the ISCE is the elicitation of subjective probability distributions for key economic variables, enabling the study of expectations heterogeneity and uncertainty. The survey also integrates georeferenced environmental risk data to explore the relationship between objective risks and subjective perceptions. By documenting the survey design, methodology, and main variables, this statistical bulletin establishes the ISCE as a valuable infrastructure for policy analysis, behavioral research, and the study of expectations formation in Italy. The Appendix reports the combined questionnaire for the entire data set.

Suggested Citation

  • Luigi Guiso & Tullio Jappelli, 2024. "The Italian Survey of Consumer Expectations: Statistical Bulletin," CSEF Working Papers 722, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 18 Apr 2026.
  • Handle: RePEc:sef:csefwp:722
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    Cited by:

    1. Tullio, Federico, 2025. "Dynamics and measurement error in household income data collected with single questions," MPRA Paper 124151, University Library of Munich, Germany.
    2. Gambacorta, Leonardo & Jappelli, Tullio & Oliviero, Tommaso, 2025. "Exploring Household Adoption and Usage of Generative AI: New Evidence from Italy," CEPR Discussion Papers 20762, Centre for Economic Policy Research.

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    Keywords

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    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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