Input Requirement Estimations Estimating Input Requirements using FADN Data Stephan Pfaffenzeller, NUI, Galway.

Slides:



Advertisements
Similar presentations
What is the capital of the UK? London What is the capital of France? Paris.
Advertisements

East-West dialogue: problems of mutual comprehension Mária Ladó Ministry of Labour and Social Affairs, Hungary.
Can financial services in developed countries remain on a long-term basis within postal organizations or is separation inevitable? TIP Conference, ,
1 Survey Data in ECA : Frequency, Coverage, Consistency and Access By Victor Sulla ECS-PE.
STATE OF PLAY - FORECASTS FOR EUROPEAN CONSTRUCTION
Poverty & Human Capability 101 Introductory Class.
When was the European Union formed? About fifty years ago in Where was the European Union? Belgium, France, Germany, Italy, Luxembourg, and The.
Ecdc.europa.eu October 11, 2007, WarsawTsvetan Bogdanov Student Mobility in Sofia University: Tendencies and Perspectives.
GROWTH DRIVERS AND INVESTMENT OPPORTUNITIES IN EUROPEAN CONSTRUCTION TO 2016 Michael Weingärtler Metal Expert Europe Steel.
Directive 95/50/EC TDG Checks Application of Annexes Erkki Laakso EUROPEAN COMMISSION DG ENERGY & TRANSPORT TDG Checks Riga June 2006.
1 The bees and the honey Looking behind the optimistic statistics Enwise Valorisation Conference, Tallinn, 9 September 2004 Camilla Gidlöf Women and Science.
Countries of Europe France Spain Italy Germany Which country is this?
PERC meeting 31 March 2011 ITUH - Brussels 1 Council of Europe (Revised) Social Charter Trade union & workers’ representative rights Conclusions 2010 Stefan.
EIE- Surveyor 1 Financial aspects ► 40 % amount 45 days after initial contract (about December2005) ► 40 % 45 days after approval of the progress report.
Northern Europe Label the following countries on the next page, using the color each countries is labeled in, then add capitals to each country using a.
Best Sustainable Development Practices for Food Security UV-B radiation: A Specific Regulator of Plant Growth and Food Quality in a Changing Climate The.
USD billion

Entity Categories – Where Why are we?
Table 1. New HIV diagnoses by country, EU/EEA, 2010–2014
Countries and Capitals of Western Europe
Gas Regional Initiatives
DISTRIBUTION AUTOMATIC - GENERATION
Table 1. Cases of reported, confirmed cases of invasive meningococcal disease: number and rate per population, EU/EEA, 2010–2014 Country
Table 1. Reported invasive Haemophilus influenzae cases: number and rate per population, EU/EEA, 2010–2014 Country Con­firmed.
Germany.
Country Cases Rate National data Report type
EUROS Identification Austria - Belgium - Cyprus - Estonia - Finland - France - Germany - Greece - Ireland - Italy - Latvia Lithuania - Luxembourg - Malta.
Cases Rate National data Report type
Table. Yellow fever, surveillance systems overview, 2014
The European Parliament – voice of the people
The European Parliament – voice of the people
ESF FINANCIAL EXECUTION PART 1 STATE OF PLAY END 2016
Labour Market Statistics
Nitrates Directive (91/676/EEC)
For 24 countries with more than 20 citations, this figure compares contributions to ESMO and the UK cancer CPGs. Solid line of identity indicates equal.
4.8% 6.9 MILLION OLIVE OIL Evolution 2016 versus 2015 PRICE INCREASE
Transmission, processing and publication of the HBS 2015 data
Table 1. Number and rate of Legionnaires’ disease cases per population by country and year, EU/EEA, 2011–2015 Country
EU: First- & Second-Generation Immigrants
Official Activity Title
MSFD Scoreboard Status at 23 November 2012 Belgium Bulgaria Cyprus
SBS Compliance report item 3 of the agenda
Table 1. Number and rate of reported confirmed gonorrhoea cases per population, EU/EEA, 2010–2014 Country Cases Rate Austria.
Table 1. Number and rate of reported confirmed chlamydia cases per population, EU/EEA, 2010–2014 Country Cases Rate Austria.
ESF FINANCIAL EXECUTION ESF Technical Working Group Meeting June 2018
Country Cases Rate National data Report type
Adriatic Persian Gulf Map Test #1 Answers.
European Union Membership
Table. Plague, surveillance systems overview, 2014
Overall 2011 ESF Budget Execution
ESF FINANCIAL EXECUTION ESF Technical Working Group Meeting June 2018
Adriatic Persian Gulf Map Test #1 Answers.
Maximum-parsimony tree of the 89 CC398 isolates (including ST398SO385) based on 4,238 total SNPs, including 1,102 parsimony-informative SNPs with a CI.
The European Research Council Takes Flight
Cross Acceptance State of play Jan 2014 RISC.
Marine Strategy Framework Directive: Status of reporting
Marine Environment and Water Industry Unit
Marine Strategy Framework Directive: Status of reporting Art. 8/9/10
Update on reporting status
ESF FINANCIAL EXECUTION ESF Technical Working Group Meeting June 2018
Database in digital format PMWG Meeting, Luxembourg, 24/25 April 2003
Regional Accounts ESA 95 Data Collection
The European Research Council Takes Flight
Groundwater bodies - overview
Rivers X-GIG phytobenthos intercalibration
Marine Strategy Framework Directive: Status of reporting
Quality project regional GVA and employment
2006 Rank Adjusted for Purchasing Power
Prodcom Statistics in Focus
Presentation transcript:

Input Requirement Estimations Estimating Input Requirements using FADN Data Stephan Pfaffenzeller, NUI, Galway

Objective To Estimate Intput Requirement Coefficients for Each CAPRI Activity for insertion into the CAPRI database.

Data FADN DATA from AT - Austria farms BL - Belgium, 2601 farms DE - Germany, farms --> price data from ‘91-’99 DK - Denmark, 6625 farms EL - Greece, farms --> price data from ‘95-’99 FI - Finland, 1324 farms IR - Ireland, 3409 farms --> no price data prior to 1995

Data FADN DATA from IT - Italy, farms PT - Portugal, 6379 farms SE - Sweden, 1191 farms UK - United Kingdom, 6668 farms ES - Spain, farms NL - Netherlands FR - France

Variables I: CAPRI INPUTS L: CAPRI LEVELS (hect./head) Y: CAPRI YIELDS (tonnes p/h etc.) O: CAPRI OUTPUTS (tonnes, litres etc.) 11 Input Variables 53 Level Variables and 53 Output/Yield Variables in Full Model

Model (for Any One Input) i is the farm i.d., t the year, L are Relevant Level Values Basic specification

Model (for Any One Input) i is the farm i.d., t the year, L are Relevant Level Values and O are Output Values Alternative specification I

Model (for Any One Input) i is the farm i.d., t the year, L are Relevant Level Values and Y are Yield Values Alternative specification II

Choice of Estimator SUR eliminated (not feasible – problems last summer with SUR estimation) Choice between OLS, FE and RE for each model Preliminary Tests revealed FE was far superior: decided to be consistent

Results Generally good (pending final evaluation of specifications) Problems with Negative coefficient estimates in some cases Fitted values need to be reconciled with EAA

Negative Coefficients These problems are mainly with the OTHER categories of activities/inputs (OFRU, OCRO, OANI etc.). The chosen solution is to use the average coefficient from the relevant activity category (e.g. the Fruit Average if OFRU is negative)

Selected Results

Level Coefficient Estimates  L estimates for selected Crop activity levels: NLSEELPT swhe584.13* *315.43* barl *161.80* oats *91.43* rye * *69.41*

Level Coefficient Estimates  L estimates for selected animal activity levels: NLSEELPT dcow * *493.30* * hens6.74*4.44*7.71*4.91* shgm *40.96*