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<b>Abstract</b>— <p>The article examines international practices for calculating and applying high-frequency macroeconomic indicators derived from online data in empirical studies focused on measuring and forecasting output, unemployment, and inflation. Research findings suggest that high-frequency indicators can offer significant advantages for real-time forecasting of the dynamics in macroeconomic processes (nowcasting) compared to traditional low-frequency data. The article also presents an example of a high-frequency price index replicated using the Rosstat methodology on online data.</p>

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Calculation and Application of High-Frequency Macroeconomic Indicators: A Case Study Using Russian Data

  • 期刊论文

  • 发表日期：

    2026年3月16日

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  • N. F. Dyachkova,
  • E. V. Sinelnikova-Muryleva

摘要

Abstract—

The article examines international practices for calculating and applying high-frequency macroeconomic indicators derived from online data in empirical studies focused on measuring and forecasting output, unemployment, and inflation. Research findings suggest that high-frequency indicators can offer significant advantages for real-time forecasting of the dynamics in macroeconomic processes (nowcasting) compared to traditional low-frequency data. The article also presents an example of a high-frequency price index replicated using the Rosstat methodology on online data.