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Eurostat – Unit D5 Key indicators for European policies Third International Seminar on Early Warning and Business Cycle Indicators Annotated outline of.

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Presentation on theme: "Eurostat – Unit D5 Key indicators for European policies Third International Seminar on Early Warning and Business Cycle Indicators Annotated outline of."— Presentation transcript:

1 Eurostat – Unit D5 Key indicators for European policies Third International Seminar on Early Warning and Business Cycle Indicators Annotated outline of the Handbook on Business Cycle Composite Indicators Moscow, 17-19 November 2010

2 Eurostat – Unit D5 Key indicators for European policies Chapter 1: Introduction and definition Scope and target audience of handbook Indicators and Composite Indexes Identification of the target variables Composite indicators to measure cyclical movements Composite indicators to detect the occurrence of turning points Composite indicators to measure economic growth Classification of the Indicators: Leading, Coincident and Lagging Communication and dissemination

3 Eurostat – Unit D5 Key indicators for European policies Chapter 1: Points of discussion Audience to be targeted Quality assurance framework as the basis to assess the quality of the composite indicators Dimensions of quality Best practices in the compilation, communication and dissemination of composite indicators Other issues

4 Eurostat – Unit D5 Key indicators for European policies Chapter 2: Historical and theoretical considerations on the construction of Business Cycle Composite Indicators Pre Burns and Mitchell Indicators The Burns and Mitchell approach Composite Indicators based on Econometrics and Time Series approach

5 Eurostat – Unit D5 Key indicators for European policies Chapter 2: Points of discussion Exogenous versus endogenous cyclical fluctuation's theories Monitoring the cyclical situation Economic barometers Burn and Mitchell approach Conference Board approach Econometrics based composite indicators Some historical and theoretical consideration Other issues

6 Unavailability of long time series: back casting exercises Unavailability of appropriate price indexes Problems related to the presence of outliers and of seasonal and calendar effects Imputation of missing data Lack of information at desired frequency Eurostat – Unit D5 Key indicators for European policies Chapter 3: Data availability, frequency and adjustment techniques

7 Eurostat – Unit D5 Key indicators for European policies Chapter 3: Points of discussion Discontinuities in time series: back casting exercises Unavailability of appropriate price indexes Presence of outliers and seasonal and calendar effects Imputation of missing data Lack of information at desired frequency: Multi- frequency models Relevant documentations Other issues

8 Eurostat – Unit D5 Key indicators for European policies Chapter 4: Variables selection techniques Large versus Small dataset based Indicators Classification of variables according to their leading/lagging properties Subjective identification of variables The use of Factor Analysis and Principal Component Analysis approach Other non parametric techniques General to Specific approach to reduce the Variable Space

9 Eurostat – Unit D5 Key indicators for European policies Chapter 4: Points of discussion Optima selection of variables: - Analyze the leading-lagging structure of the variables - Cycle Identification for variables or group of variables - Identify the most appropriate set of transformations to be applied to data Approaches to analyze the leading-lagging structure of variables C omponent variable for the construction of composite indicators Harmonized set of component indicators for the construction of composite indicators

10 Eurostat – Unit D5 Key indicators for European policies Chapter 5: Indicators to measure cyclical movements The choice of target variables The choice of the reference cycle (classical, growth or acceleration cycle) Filtering techniques to achieve noise minimization and a proper estimation of trend –cycle component Detrending methods: Parametric versus non parametric detrending methods Aggregation of individual signals: choice of the weights versus combining forecasts Multivariate de-trending methods Relevant documentations

11 Eurostat – Unit D5 Key indicators for European policies Chapter 5: Points of discussion composite indicators based on a common set of basic statistics compilation based on a standard methodology or countries should choose among a set of recommended approaches dilemma between subjective approach and statistical approach to construct composite indicators Other issues

12 Eurostat – Unit D5 Key indicators for European policies Chapter 6: Indicators to detect turning points The choice of the reference variable The choice of reference cycle (classical, growth or acceleration cycle) Probit/Logit based models Non linear time series models: Markov Switching, Self Exciting Threshold Autoregressive Aggregation of individual signals: choice of the weights versus combining forecasts Multivariate non linear time series modelling Analysis of turning points The use of visualization tools

13 Eurostat – Unit D5 Key indicators for European policies Chapter 6: Points of discussion Composite indicators based on a common set of basic statistics Compilation based on a standard methodology or countries should choose among a set of recommended approaches Dilemma between subjective approach and statistical approach to construct composite indicators Other issues

14 Eurostat – Unit D5 Key indicators for European policies Chapter 7: Indicators to measure economic growth Identification of the target variables Regression based models Factor VAR based models (automatic leading Indicators ALI and automatic cointegrated leading Indicators ACRI) Some examples

15 Eurostat – Unit D5 Key indicators for European policies Chapter 7: Points of discussion Compilation based on a standard methodology or countries should choose among a set of recommended approaches Composite indicators based on a common set of basic statistics Other issues

16 Eurostat – Unit D5 Key indicators for European policies Chapter 8: Validation of Business Cycle Composite Indicators Real time out-of-sample forecasting simulation Use of lagging indicators to validate leading and coincident ones Sensitivity analysis

17 Eurostat – Unit D5 Key indicators for European policies Chapter 8: Points of discussion validation based on a standard methodology or countries should choose among a set of recommended approaches Other issues


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