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Financial Literacy and Saving Behavior: Global Cross-Sectional Evidence

Author

Listed:
  • António Afonso
  • Eduardo Rodrigues

Abstract

Savings play a critical role in both individual financial well-being and economic development. This article examines the impact of financial literacy, income, educational level, and age on saving decisions across 136 countries, using data from the Global Financial Inclusion Database (2021) and employing Generalized Structural Equation Modelling (GSEM). Financial literacy is conceptualized as a latent variable, based on five indicators related to financial knowledge, financial behavior, and financial attitudes, aligned with the Organization for Economic Co-operation and Development (OECD) pillars. The analysis demonstrates that financial literacy is a fundamental driver for saving in the short and long term. Education level and income are consistent predictors of savings, while age exhibits distinct effects depending on the savings objective. Regional differences emerge, with Latin American countries showing the strongest link between financial literacy and savings, whereas in high-income economies, its influence is less pronounced. These findings underscore the multifaceted role of financial literacy in shaping saving decisions and highlight its implications for tailored public policies.

Suggested Citation

  • António Afonso & Eduardo Rodrigues, 2026. "Financial Literacy and Saving Behavior: Global Cross-Sectional Evidence," CESifo Working Paper Series 12400, CESifo.
  • Handle: RePEc:ces:ceswps:_12400
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G53 - Financial Economics - - Household Finance - - - Financial Literacy
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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