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Economics
Applied Macroeconomics
Forecasting in Business and Economics
1. Introduction to Forecasting
2. Data for Forecasting
3. Qualitative Forecasting Methods
4. Quantitative Forecasting: Time Series Models
5. Quantitative Forecasting: Causal Models
6. Evaluating Forecast Accuracy and Performance
7. Advanced Forecasting Topics
8. Applications in Business Forecasting
9. Applications in Economic Forecasting
Evaluating Forecast Accuracy and Performance
The Concept of Forecast Error
Types of Forecast Error
One-Step Ahead Error
Multi-Step Ahead Error
Direct vs. Recursive Forecasting
Error Decomposition
Bias Component
Variance Component
Covariance Component
Scale-Dependent Error Metrics
Mean Error
Mean Absolute Error
Mean Squared Error
Root Mean Squared Error
Median Absolute Error
Percentage Error Metrics
Mean Absolute Percentage Error
Symmetric Mean Absolute Percentage Error
Mean Absolute Percentage Error Limitations
Scaled Error Metrics
Mean Absolute Scaled Error
Relative Mean Absolute Error
Relative Error Metrics
Relative Root Mean Squared Error
Theil's U Statistic
Comparing Forecast Models
In-Sample vs. Out-of-Sample Evaluation
Training and Test Sets
Cross-Validation
Rolling Origin Evaluation
Expanding Window
Fixed Window
k-Fold Cross-Validation for Time Series
Statistical Tests for Forecast Comparison
Diebold-Mariano Test
Harvey-Leybourne-Newbold Test
Forecast Bias
Measuring Bias
Sources of Bias
Adjusting for Bias
Bias-Variance Tradeoff
Tracking Signals
Cumulative Error Tracking
Control Charts
Trigg and Leach Tracking Signal
Prediction Intervals
Constructing Prediction Intervals
Parametric Methods
Bootstrap Methods
Interpreting Prediction Intervals
Interval Coverage Assessment
Forecast Value Assessment
Economic Value of Forecasts
Decision-Theoretic Evaluation
Cost-Loss Analysis
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7. Advanced Forecasting Topics