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Household Financial Transaction Data

Author

Listed:
  • Lorenz Kueng

    (Facoltà di Scienze Economiche, Università della Svizzera italiana, Lugano, Switzerland)

  • Scott R. Baker

    (Kellogg School of Management, Northwestern University, Evanston, Illinois, USA)

Abstract

The growth of the availability and use of detailed household financial transaction micro data has dramatically expanded the ability of researchers to understand both household decision making and aggregate economic fluctuations across a wide range of fields. This class of transaction data is derived from a myriad of sources, including financial institutions, FinTech apps, and payment intermediaries. We review how these detailed data have been utilized in finance and economics research and analyze both their benefits and limitations as compared to more traditional measures of income, spending, and wealth. Finally, we discuss the future potential of this flexible class of data in firm-focused research, real-time policy analysis, and macro statistics.

Suggested Citation

  • Lorenz Kueng & Scott R. Baker, 2022. "Household Financial Transaction Data," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 47-67, August.
    • Handle: RePEc:anr:reveco:v:14:y:2022:p:47-67
    DOI: 10.1146/annurev-economics-051520-023646
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    Cited by:

    1. Guttman-Kenney, Benedict & Firth, Chris & Gathergood, John, 2023. "Buy now, pay later (BNPL) ...on your credit card," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    2. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
    3. Albuquerque, Bruno & Green, Georgina, 2023. "Financial concerns and the marginal propensity to consume in COVID times: Evidence from UK survey data," Journal of Macroeconomics, Elsevier, vol. 78(C).
    4. Nemeczek, Fabian & Radermacher, Jan, 2022. "Personality-augmented MPC: Linking survey and transaction data to explain MPC heterogeneity by Big Five personality traits," SAFE Working Paper Series 348, Leibniz Institute for Financial Research SAFE.

    More about this item

    Keywords

    transaction data; financial account data; household finance; linked accounts; payments data;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

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