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Development of "Alternative Data Consumption Index":Nowcasting Private Consumption Using Alternative Data

Author

Listed:
  • Tomohiro Okubo

    (Bank of Japan)

  • Koji Takahashi

    (Bank of Japan)

  • Haruhiko Inatsugu

    (Bank of Japan)

  • Masato Takahashi

    (Bank of Japan)

Abstract

In the field of macroeconomic analysis, there has recently been a growing interest in "alternative data" or nontraditional data whose information sources differ from those of existing statistics. Using alternative data that become timely available, this paper aims to capture developments in Japan's private consumption at the macro level earlier than existing statistics. We construct the "Alternative Data Consumption Index" (ALC) by combining three types of alternative data: (1) credit card transaction data (JCB Consumption NOW); (2) point-of-sale (POS) data (METI POS and GfK); and (3) spending records obtained from a personal financial management service (Money Forward). We nowcast the Consumption Activity Index (CAI), which is compiled and released by the Bank of Japan, using the ALC. With respect to timeliness, the ALC has a significant advantage over the CAI; the ALC for the month is available in the middle of the following month, approximately 3 weeks earlier than the release of the CAI. Our findings show that the ALC is generally accurate in nowcasting the CAI and thus aggregate consumption developments. It also accurately captures the substantial changes in consumption activities caused by the spread of COVID-19 since spring 2020. Overall, the results suggest that alternative data can capture macro level consumption activity promptly and accurately, making them a powerful tool for understanding economic conditions.

Suggested Citation

  • Tomohiro Okubo & Koji Takahashi & Haruhiko Inatsugu & Masato Takahashi, "undated". "Development of "Alternative Data Consumption Index":Nowcasting Private Consumption Using Alternative Data," Bank of Japan Working Paper Series 22-E-8, Bank of Japan.
  • Handle: RePEc:boj:bojwps:wp22e08
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    References listed on IDEAS

    as
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    2. David Bounie & Youssouf Camara & John Galbraith, 2020. "Consumers’ Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data," Cahiers de recherche 14-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
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    5. Abe Dunn & Kyle Hood & Andrea Batch & Alex Driessen, 2021. "Measuring Consumer Spending Using Card Transaction Data: Lessons from the COVID-19 Pandemic," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 321-325, May.
    6. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
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    More about this item

    Keywords

    Nowcasting; Alternative Data; Private Consumption;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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