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

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.