Revision system | Nested models | Durbin-Koopman state-space form | Estimation in reviser | Example: Euro Area GDP revisions | Other KK-family specifications

Revision decomposition | Durbin-Koopman state-space form | The reviser implementation | Measurement equation | Transition equation | Shock-loading matrix | Nested JVN specifications | Example: Euro Area GDP revisions | Other JVN specifications

Revision system | Nested models | Durbin-Koopman state-space form | Estimation in reviser | Example: Euro Area GDP revisions | Other KK-family specifications

Revision decomposition | Durbin-Koopman state-space form | The reviser implementation | Measurement equation | Transition equation | Shock-loading matrix | Nested JVN specifications | Example: Euro Area GDP revisions | Other JVN specifications

Optimal Properties of Revisions | Initial Estimates as Truth Measured with Noise | The Challenge of Defining a Final Release | Iterative Approach for Identifying ( e ) | Importance of an Efficient Release | Example: Identifying an Efficient Release in GDP Data with reviser | References

Summary Statistics | Revision Size | 1. Mean Revision ("Bias (mean)") | 2. Mean Absolute Revision ("MAR") | 3. Minimum and Maximum Revisions ("Minimum", "Maximum") | 4. Percentiles of Revisions ("10Q", "Median", "90Q") | 5. Standard Deviation of Revisions ("Std. Dev.") | 6. Noise-to-Signal Ratio ("Noise/Signal") | Correlation of Revisions | 1. Correlation Between Revisions and Initial Releases ("Correlation") | 2. 1st order Autocorrelation of Revisions ("Autocorrelation (1st)") | 3. Autocorrelation of Revisions up to 1 year ("Autocorrelation up to 1yr (Ljung-Box p-value)") | Sign Switches | 1. Fraction of sign changes | 2. Fraction of sign changes in the growth rate | Hypothesis Tests | News and Noise Tests for Data Revisions | 1. The Noise Test | 2. The News Test | Test of Seasonality in Revisions | Friedman Test | Theil’s U Statistics | 1. Theil’s U1 Statistic ("Theil's U1") | 2. Theil’s U2 Statistic ("Theil's U2") | References

Optimal Properties of Revisions | Initial Estimates as Truth Measured with Noise | The Challenge of Defining a Final Release | Iterative Approach for Identifying ( e ) | Importance of an Efficient Release | Example: Identifying an Efficient Release in GDP Data with reviser | References

Summary Statistics | Revision Size | 1. Mean Revision ("Bias (mean)") | 2. Mean Absolute Revision ("MAR") | 3. Minimum and Maximum Revisions ("Minimum", "Maximum") | 4. Percentiles of Revisions ("10Q", "Median", "90Q") | 5. Standard Deviation of Revisions ("Std. Dev.") | 6. Noise-to-Signal Ratio ("Noise/Signal") | Correlation of Revisions | 1. Correlation Between Revisions and Initial Releases ("Correlation") | 2. 1st order Autocorrelation of Revisions ("Autocorrelation (1st)") | 3. Autocorrelation of Revisions up to 1 year ("Autocorrelation up to 1yr (Ljung-Box p-value)") | Sign Switches | 1. Fraction of sign changes | 2. Fraction of sign changes in the growth rate | Hypothesis Tests | News and Noise Tests for Data Revisions | 1. The Noise Test | 2. The News Test | Test of Seasonality in Revisions | Friedman Test | Theil’s U Statistics | 1. Theil’s U1 Statistic ("Theil's U1") | 2. Theil’s U2 Statistic ("Theil's U2") | References

Package conventions | Convert Long to Wide Format | Convert Wide to Long Format | Handling Multiple Series with id | Extracting Releases | Visualizing Vintage Data | Analyzing Data Revisions and Releases

Package conventions | Convert Long to Wide Format | Convert Wide to Long Format | Handling Multiple Series with id | Extracting Releases | Visualizing Vintage Data | Analyzing Data Revisions and Releases

Introduction: Why do data revisions occur? | Incorporation of newly available or updated data | Base data revisions | Benchmark revisions (methodological changes) | Minor changes in estimation methods | Technical adjustments & error corrections | Economic events & shocks | Technological advances in data collection | Some mathematical notation | Extracting revisions with reviser | The get_revisions() function | Example usage | Example 1: Revisions Using an Interval | Example 2: Revisions Relative to a Fixed Reference Date | Example 3: Revisions to the Nth Release | Example 4: How does the growth rate of GDP change over time? | References

Introduction: Why do data revisions occur? | Incorporation of newly available or updated data | Base data revisions | Benchmark revisions (methodological changes) | Minor changes in estimation methods | Technical adjustments & error corrections | Economic events & shocks | Technological advances in data collection | Some mathematical notation | Extracting revisions with reviser | The get_revisions() function | Example usage | Example 1: Revisions Using an Interval | Example 2: Revisions Relative to a Fixed Reference Date | Example 3: Revisions to the Nth Release | Example 4: How does the growth rate of GDP change over time? | References

Introduction | Understanding the Magnitude of Revisions | The Dynamics of Revisions and What They Reveal | The Uses of Studying Revisions in Time Series Data | Conclusion

Introduction | Understanding the Magnitude of Revisions | The Dynamics of Revisions and What They Reveal | The Uses of Studying Revisions in Time Series Data | Conclusion

What Are Bridge Models? | The Bridge Model Framework | Aggregation of Indicators | The Model Specification | A Quick Example | Loading the Data | Estimating the Bridge Model | Forecasting | Summary