Nowcasting (NWC)
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Bibliographic details
- Session: AT 24.29
- Location: Ebene, Mauritius
- Dates: September 16-27, 2024 (2 weeks)
- Delivery method: In-person Training
- Primary language: English
- Interpretation language: French Portuguese
- Status: Deadline passed
Target Audience
- Junior and middle-level officials from ministries of finance, central banks, and other interested public institutions.
Qualifications
- Participants are expected to have an advanced degree in economics or equivalent experience.
- Basic understanding of time-series econometrics.
- Comfortable using EViews (econometric software package).
- Strong recommendation: applicants have completed a few general macroeconomic courses, such as Macroeconomic Forecasting and Analysis (MFA) or Macroeconomic Diagnostic (MDS), face-to-face or online.
Course Description
- Presented by the Institute for Capacity Development.
- Provides participants with cutting-edge nowcasting tools to incorporate high-frequency economic indicators into the forecasting process.
- Integrates training into technical assistance on data compilation and dissemination.
- Each topic is complemented by hands-on workshops and assignments that illuminate steps required to formulate a nowcasting model and generate a nowcast.
Course Objectives
- Understand and be proficient in the steps required to manage time-series data in EViews, estimate an OLS regression and calculate its associated forecasts in EViews.
- Formulate several useful statistical procedures in EViews, including:
- consolidation of time series from higher to lower frequencies;
- interpolation techniques;
- seasonal adjustment;
- use of leading indicators.
- Identify appropriate high-frequency indicators useful for nowcasting macroeconomic variables and prepare them for use in a nowcasting exercise.
- Formulate and estimate a nowcasting regression using several approaches (including Bridge, MIDAS, and U-MIDAS estimators).
- Generate a nowcast from the base regression and consolidate competing forecasts using combination forecasts.
- Evaluate the accuracy of the nowcast using several forecasting performance indicators.
- Apply the nowcasting tools to their own country data and interpret the nowcast appropriately in policy making settings.
References