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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
Data for Forecasting
Types of Data
Time Series Data
Characteristics of Time Series Data
Frequency Types
High-Frequency Data
Daily Data
Weekly Data
Monthly Data
Quarterly Data
Annual Data
Univariate vs. Multivariate Time Series
Cross-Sectional Data
Characteristics and Uses
Sampling Considerations
Panel Data
Structure and Advantages
Balanced vs. Unbalanced Panels
Identifying Data Patterns
Trend
Linear Trends
Nonlinear Trends
Deterministic vs. Stochastic Trends
Trend Estimation Methods
Seasonality
Additive Seasonality
Multiplicative Seasonality
Identifying Seasonal Patterns
Seasonal Adjustment
Cyclicality
Business Cycles
Economic Cycles
Cycle Identification
Cycle vs. Seasonality
Random Variation
Sources of Noise
White Noise vs. Colored Noise
Impact on Forecasting
Structural Breaks
Types of Structural Breaks
Detection Methods
Handling Structural Breaks
Data Visualization and Exploration
Time Series Plots
Line Plots
Multiple Series Plots
Trend Visualization
Scatter Plots
Lag Plots
Lead-Lag Relationships
Autocorrelation Analysis
Autocorrelation Plots
Partial Autocorrelation Plots
Seasonal Analysis
Seasonal Subseries Plots
Decomposition Plots
Boxplots by Season
Advanced Visualization
Heatmaps
Calendar Plots
Spectral Analysis Plots
Data Preprocessing and Transformation
Data Quality Assessment
Missing Value Analysis
Outlier Detection
Data Consistency Checks
Handling Missing Values
Types of Missing Data
Imputation Methods
Forward Fill
Backward Fill
Linear Interpolation
Spline Interpolation
Model-Based Imputation
Deletion Methods
Outlier Detection and Treatment
Statistical Methods for Outlier Detection
Domain-Specific Outlier Identification
Adjusting Outliers
Removing Outliers
Data Adjustments
Calendar Adjustments
Trading Days Adjustment
Holiday Adjustment
Leap Year Adjustment
Inflation Adjustments
Deflating to Constant Dollars
Price Index Selection
Mathematical Transformations
Logarithmic Transformations
Power Transformations
Box-Cox Transformation
Yeo-Johnson Transformation
Differencing for Stationarity
First Differencing
Seasonal Differencing
Higher-Order Differencing
Standardization and Normalization
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1. Introduction to Forecasting
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3. Qualitative Forecasting Methods