| Course content |
- Importance of nowcasting in official statistics.
- A brief review of econometric time series.
- Some data treatments and statistical tools in nowcasting.
- Dynamic Factor Models and a nowcasting approach in official statistics.
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| Learning outcomes |
- Learning about modern nowcasting techniques in the context of official statistics: advantages and limitations.
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| Programming Language |
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| Target group |
- Staff of NSOs with some knowledge of time series and R.
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| Course Schedule |
- Overview of nowcasting: purpose and difference with forecasting (30min).
- Brief review of time series analysis, including main concepts as trend-cycle, seasonal, noise, stationarity, and non-stationarity (2h).
- Nowcasting tools: seasonal adjustment, non-traditional information, partial least squares, ARIMA models, and cross-validation in time series (2.5h).
- Nowcasting approach: Dynamic Factor Models and timely estimates of economic activity (3h).
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| Instructors |
- Francisco Corona, INEGI.
- René Benavidez, INEGI.
- José Lecuanda, INEGI.
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| How to register |
- All persons interested in taking part in the course are therefore kindly requested to send a letter of intent explaining the reasons for choosing this course. Make sure to include your contact information and relevant experience.
- Please send your letter to: franciscoj.corona@inegi.org.mx
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