- Keynote1 - GDP nowcasting by means of quantile regression models
- Keynote2 - Measuring Incertainties
- Keynote3 - On Borrowing Information Over Time in Small Area Estimation
- Poster01 - Can inflation expectations in business or consumer surveys improve inflation forecasts
- Poster04 - Relative and trend revision methods for benchmarking time series used at the U.S. Census Bureau for periodic economic programs
- Poster05 - Les effets du Magal de Touba sur les indices ICA et IPC
- Poster06 - Evolving with JDemetra+
- Poster07 - Forecasting Cattle Slaughtering and Exports at Statistics Denmark
- Poster08 - Understanding the Relationship Between the Seasonal Regression Model-based F Test and a Diagnosis of Residual Seasonality
- Poster09 - Tool for synthesis of seasonal adjustment quality
- Poster10 - The Application of Demetra and RJDemetra in Development of Composite Indicators for Economic Activity
- Poster11 - The Impact of Regional Holidays on Early Job-Seeker Registrations – A RegARIMA Analysis
- S00P1 - The Seasonal Adjustment Center of Excellence
- S01P1 - Regression Performance of Temporally Disaggregate Variables
- S01P2 - Adding seasonality to BFL method
- S02P1 - Estimation of the cycle in economic time series
- S02P2 - Cycle Extraction: Should the Hamilton Regression Filter be Preferred to the Hodrick-Prescott Filter
- S03P1 - Alternative moving average filters for trend-cycle estimation and seasonal adjustment
- S03P2 - Analysis of the use of Classical Regression and RegARIMA-based models in short-term forecasting of Irish macroeconomic series in OS
- S03P3 - Adjusting weakly seasonal time series. How worth is it?
- S04P1 - The Effects of Ramadan on Prices, a Comparison Between 3 Countries
- S04P2 - Persephone, seasonal adjustment with an object-oriented wrapper for RJDemetra
- S04P3 - Direct and Indirect Seasonal Adjustment Conciliation
- S05P1 - Reporting on the quality of seasonal adjustment - A dedicated plugin for JDemetra +
- S05P2 - Fixing the model for the seasonal component, a new revision policy
- S05P3 - Plutus – A tool to handle metadata of seasonal adjustment
- S06P1 - A High frequency data analysis strategy for official statistics
- S06P2 - Analizing Traffic Flows in Madrid city
- S06P3 - Dealing with high frequency time series
- S07P1 - When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage
- S07P2 - Nowcasting: Practical Results with Theoretical Flaws
- S07P3 - A New Dynamic Factor Model for Nowcasting Belgian GDP growth
- S07P4 - Nowcasting GDP from VAT returns in the UK
- S08P1 - Integrating Seasonal Adjustment into a modular system of IT-tools for time series analysis - Slides
- S08P2 - Lessons from Implementing a QNA Framework at Statistics Austria
- S09P1 - Estimation of time-varying state correlation in state space models
- S09P2 - New IPC for Turkey, State Space Modelling Approach
CROS
Collaboration in Research and Methodology for Official Statistics