Presentation is loading. Please wait.

Presentation is loading. Please wait.

1JRC June 2008 Statistical research at the Joint Research Centre Andrea Saltelli, NTTS Conference, Brussels, February 2009.

Similar presentations

Presentation on theme: "1JRC June 2008 Statistical research at the Joint Research Centre Andrea Saltelli, NTTS Conference, Brussels, February 2009."— Presentation transcript:

1 1JRC June 2008 Statistical research at the Joint Research Centre Andrea Saltelli, NTTS Conference, Brussels, February 2009

2 2JRC June 2008 ERAWATCH Unit at JRC-IPTS (Seville) Contact: Pietro Moncada Paterno Castello (JRC IPTS)

3 3JRC June 2008

4 4 -The EU Industrial R&D Investment Scoreboard: analysis of 1000 EU and 1000 non-EU top investing companies in R&D -The EU Survey of Business R&D -Economic and policy analysis of corporate R&D. Industrial Research and Innovation at JRC - Seville

5 5JRC June 2008 Some Results (1): Nature of the R&D investment gap Breakdown of EU-US gap in R&D intensity into sectoral composition and underinvestment effects. Note: In this figure, only companies of similar R&D size are considered, i.e. the top EU (391) and the US (563) with R&D investment above a common threshold (23 million in the latest year). Source: JRC-IPTS calculations (2008) - Analysis of 2007 EU Industrial R&D Investment Scoreboard -EU's R&D intensity deficit is largely explained by the different industrial structure (sectoral composition effect). Industrial Research and Innovation

6 6JRC June 2008 - R&D rises productivity much more in high-tech sectors than in low- tech ones Some Results (2): Econometrics of R&D & firm productivity Industrial Research and Innovation Source: European Commission, JRC –IPTS (2008) Analysis of 2007 EU Industrial R&D Investment Scoreboard

7 7JRC June 2008 Agrilife Unit at JRC-IPTS (Seville) Contact: Marc Müller (JRC IPTS)

8 8JRC June 2008 Building an Agro-Economic Modelling Platform: Disaggregated Agricultural Social Accounting Matrices for EU27 (AgroSAM)

9 9JRC June 2008 Minimisation of Cross Entropy Measure (CE), subject to accounting constraints: –AgroSAMs have to match EuroStat control totals – CE allows specifying confidence in data (higher confidence in cereal, oilseed, and dairy data, lower in fodder crops) Contribution of EU27 AgroSAMs to GTAP database (2008) Future Developments –Spatial coverage: Regional SAMs (NUTS2) –Annual coverage: Compilation of SAMs until 2005 based on observations 2010 based on projections CAPRI Data EuroStat Data Unbalanced AgroSAM Balancing procedure

10 10JRC June 2008 Axel Tonini (JRC IPTS, Seville), Roel Jongeneel (LEI, The Hague),2008, Modelling dairy supply for Hungary and Poland by generalised maximum entropy using prior information, European Review of Agricultural Economics 35 (2) (2008) pp. 219-246. Müller, M. and I. Pérez Domínguez (2008): Compilation of Social Accounting Matrices with a Detailed Representation of the Agricultural Sector (AgroSAM). Presented at the 11th Annual Conference on Global Economic Analysis, Helsinki, Finland. Müller, M., I. Pérez Domínguez, and S.H. Gay (2009, forthcoming): Construction of Social Accounting Matrices for EU27 with a Disaggregated Agricultural Sector, IPTS Technical Documentation.

11 11JRC June 2008 Spatial Data Infrastructures Unit of JRC-IES (Ispra) Contact: Jean Dusart

12 12JRC June 2008 Spatial Data Infrastructures Unit (IES) The Spatial Data Infrastructures Unit was established in 2006 as the JRC's response to new policy priorities. One such new priority regards the creation of a European Spatial Data Infrastructure, with a particular focus on the development and implementation of distributed information systems for environmental monitoring through in-situ and Earth observation techniques according to the INSPIRE Directive adopted in February 2007 Our mission is to coordinate the scientific and technical development of the Infrastructure for Spatial Information in Europe (INSPIRE), support its implementation within the Commission and the Member States, evaluate its social and economic impacts, and lead the research effort to develop the next generation of spatial data infrastructures

13 13JRC June 2008 Harmonised multi-resolution geographical grid (IES) Context: One method of storing spatial information is by using geographical grids Equal area grid suitable for generalising data, statistical mapping, analytical work INSPIRE Directive complemented by Implementing Rules foresees the definition of a Pan-European Grid based on a commonly agreed reference system (ETRS89-LAEA) Grid defined as hierarchical (power of 10) with associated coding system JRCs role as technical coordinator of INSPIRE : - identify user requirements and develop recommendations for grid specifications - testing use case implementations 0,0 Grid 100 km Grid 10 km Applications: European Population Grid (JRC-EEA) Multi-scale Soil Information System (Soil Action) Eco-pedological Map for the Alpine Territory (Soil Action) SRTM DEM for Europe, Corine Land Cover, LUCAS, …

14 14JRC June 2008 MARS Unit, JRC-IPSC (Ispra) Contact: Javier Gallego

15 15JRC June 2008 LUCAS (Land Use/Cover Area frame Statistical Survey) Role of JRC on LUCAS 2006: Optimising the sample Efficiency assessment Main task for 2009: Helping Eurostat to adapt 2006 sample to new priorities 2001-2003 2006 Relative efficiency

16 16JRC June 2008 Population density grid of the EU Fine resolution (1ha) Downloadable from EEA LUCASReference data Downscaling Initial data: population per commune

17 17JRC June 2008 In Europe 35 countries covered 11 crops monitored 33 years of meteo and agrometeo data (daily data from ~3000 stations) 20 crops indicators are daily simulated by crop models 21 years of low resolution satellite information MARS Crop Yield Forecasting System 7th FWP Mars FOOD Mars STAT

18 18JRC June 2008 Econometrics and Applied Statistics Unit, JRC-IPSC (Ispra)

19 19JRC June 2008 ECOTRIM (Riccardo)

20 20JRC June 2008 QUEST III (Riccardo)

21 21JRC June 2008

22 22JRC June 2008 Rickety Numbers International rankings of higher education lack statistical robustness Michaela Saisana, Beatrice D'Hombres, Andrea Saltelli UNE ÉTUDE QUI MET EN CAUSE LE CLASSEMENT DE SHANGHAÏ See www.lemonde.frSaturday 15 November 2008 des-universites_1118448_0.html

23 23JRC June 2008

24 24JRC June 2008 Global sensitivity analysis 200020042008 Courses every year Venice Brussels Ispra …

Download ppt "1JRC June 2008 Statistical research at the Joint Research Centre Andrea Saltelli, NTTS Conference, Brussels, February 2009."

Similar presentations

Ads by Google