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Monitoring consumption Switzerland: data, background, and use cases.

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This summary is machine-generated.

Monitoring Consumption Switzerland offers real-time payment transaction data for economic analysis. This novel dataset provides valuable insights into Swiss consumer spending patterns.

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COVID-19ConsumptionMonitoringPayment data

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Area of Science:

  • Economics
  • Data Science
  • Public-Private Partnerships

Background:

  • Monitoring Consumption Switzerland (MCS) is a partnership between the University of St. Gallen, Worldline, and SIX.
  • MCS processes and publishes real-time payment transaction data for Switzerland.

Purpose of the Study:

  • To introduce and describe the MCS dataset.
  • To explore the attributes, aggregation, granularity, and interpretability of this novel data source.
  • To demonstrate use cases and potential challenges for future data users.

Main Methods:

  • Utilizing real-time payment transaction data processed by Worldline/SIX.
  • Describing data attributes, aggregation levels, and granularity.
  • Presenting use case analyses and discussing data interpretability.

Main Results:

  • The MCS dataset offers a unique, real-time view of Swiss consumption patterns.
  • Several use cases highlight the data's strengths for economic monitoring.
  • Potential challenges and considerations for data users are identified.

Conclusions:

  • The MCS project provides a valuable new resource for understanding economic activity in Switzerland.
  • The data's real-time nature and granularity offer significant potential for research and policy.
  • Awareness of data limitations and proper interpretation are crucial for effective utilization.