C. CALZADA 13/11/08 Experience in France Impact Evaluation of financial aids to firms.

Slides:

Advertisements

Similar presentations

Impact Assessment in the policy cycle at the European Commission

Advertisements

BetterInvestings Portfolio Manager Understanding the Home Page Created by: QUANT IX SOFTWARE, Inc. Revised: July, 2007 We suggest you print the matching.

Chapter 12 Keynesian Business Cycle Theory: Sticky Wages and Prices.

Slide 1 Insert your own content. Slide 2 Insert your own content.

Copyright © 2002 Pearson Education, Inc. Slide 1.

Quest ion 1? A.) answer B.) answer C.) correct answerD.) answer L C.) correct answer F.

President of the National Statistics Council 1 Ridha FERCHIOU National Statistics Council 2007 CNS OECD World Forum on Statistics, Knowledge and Policy.

OECD World Forum Statistics, Knowledge and Policy, Palermo, November

1 « June, 6 and 7, 2007 Paris « Satellite Account for Education for Portugal: Implementation process and links with the National Accounts and Questionnaire.

Changes in measurement of savings: Perspectives from a consumer (of NA data) Alain de Serres* OECD Florian Pelgrin * Bank of Canada * Personal views, not.

1 KOICA Data Management Presented by MIRA Ko K O I C A How to manage the data & its lessons.

1 Revision of SEEA 2003 State of Play – Environmental Goods and Services Sector Presentation for the London Group meeting 29 September – 3 October 2008,

Cultural Heritage in REGional NETworks REGNET Project Meeting Content Group Part 2: Functional Testing.

Combining Like Terms. Only combine terms that are exactly the same!! Whats the same mean? –If numbers have a variable, then you can combine only ones.

1 AID FOR TRADE IN AFRICA: Why Trade? Why AID? MOBILIZING AID FOR TRADE: FOCUS ON AFRICA Dar es Salaam, Tanzania John Page, Chief Economist Africa Region,

Planning and use of funding instruments

European Commission Directorate General Economic and Financial Affairs Harmonisation of BCS: Aggregation methods Roberta Friz Business and consumer surveys.

February 16, 2014Ministry of Regional Development - 2 Mid-term assessment of information and publicity measures Commission Regulation (EC) No 1828/2006.

The Implementation Structure DG AGRI, October 2005

What is valorisation ? Growth €

Impact analysis and counterfactuals in practise: the case of Structural Funds support for enterprise Gerhard Untiedt GEFRA-Münster,Germany Conference:

1 Practical Issues in Applying CIE Daniele Bondonio University of Piemonte Orientale.

1 External Relations Evaluation Unit Result and Impact Indicators for the Road Sector.

1 First steps in practice Daniel Mouqué Evaluation Unit DG REGIO.

1. 2 Why are Result & Impact Indicators Needed? To better understand the positive/negative results of EC aid. The main questions are: 1.What change is.

Target setting for the SEE 2020 strategy Jahorina, Bosnia and Herzegovina September 11 th

Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13

Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13

Title Subtitle.

MULTIPLYING MONOMIALS TIMES POLYNOMIALS (DISTRIBUTIVE PROPERTY)

ADDING INTEGERS 1. POS. + POS. = POS. 2. NEG. + NEG. = NEG. 3. POS. + NEG. OR NEG. + POS. SUBTRACT TAKE SIGN OF BIGGER ABSOLUTE VALUE.

MULT. INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.

Teacher Name Class / Subject Date A:B: Write an answer here #1 Write your question Here C:D: Write an answer here.

B45, Second Half - The Technology of Skill Formation 1 The Economics of the Public Sector – Second Half Topic 9 – Analysis of Human Capital Policies Public.

Advertising, Sales Promotion, and Public Relations Chapter 19 McGraw-Hill/Irwin Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights.

© Richard A. Medeiros 2004 x y Function Machine Function Machine next.

formulation of national trade policies

ABC Technology Project

The Student Handbook to T HE A PPRAISAL OF R EAL E STATE 1 Chapter 16 Depreciation Estimates.

15-1 Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Chapter 15 Money and Banking.

Evaluating administrative and institutional capacity building

Tools to help the development of Innovative firms Thessaloniki Technology Park 1 Dissemination of Innovation: Clusters, Regional Institutions and Telematics.

1 Panel Data Analysis – Advantages and Challenges Cheng Hsiao.

Ana Marr, University of Greenwich, London, UK Julian Schmied, Potsdam University, Germany Third European Research Conference on Microfinance, Norway, June.

Different Methods of Impact Evaluation

5.9 + = 10 a)3.6 b)4.1 c)5.3 Question 1: Good Answer!! Well Done!! = 10 Question 1:

Take from Ten First Subtraction Strategy -9 Click on a number below to go directly to that type of subtraction problems

Squares and Square Root WALK. Solve each problem REVIEW:

SYSTEMS OF EQUATIONS.

Past Tense Probe. Past Tense Probe Past Tense Probe – Practice 1.

Limits (Algebraic) Calculus Fall, What can we do with limits?

DIGITAL MEDIA INSTITUTE hypermedia laboratory Finnish Virtual University TAMPERE UNIVERSITY OF TECHNOLOGY A Multidisciplinary tool for the evaluation of.

Chapter 5 Test Review Sections 5-1 through 5-4.

SIMOCODE-DP Software.

GG Consulting, LLC I-SUITE. Source: TEA SHARS Frequently asked questions 2.

Addition 1’s to 20.

25 seconds left…...

Recession Briefing RDA Project Managers Meeting Nov 2009 Ben Neild Assistant Director, SLIM.

Test B, 100 Subtraction Facts

1 World View Forum Patrick Cronin November 10, 2010.

We will resume in: 25 Minutes.

How Cells Obtain Energy from Food

Dorotea Daniele, Facilitator. The members Polish Ministry of Regional Development ESF Council in Sweden Lombardy Region Ministry of Labour and Social.

1-1 CHAPTER 2 Tools of Positive Analysis Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.

Page 1 NGUETSE TEGOUM Pierre NAKELSE Tebila OUEDRAOGO Issaka Combining Qualitative and Quantitative Methods in Assessing the Impact of Agro-pastoral Projects.

Beyond surveys: the research frontier moves to the use of administrative data to evaluate R&D grants Oliver Herrmann Ministry of Business, Innovation.

Development Impact Evaluation in Finance and Private Sector

Presentation transcript:

C. CALZADA 13/11/08 Experience in France Impact Evaluation of financial aids to firms

Page 2 Evaluation Network Meeting C. CALZADA13/11/08 Purposes Network of the 24 regional offices of the France's National Institute of Statistics and Economic Studies (INSEE) Impact analysis – Quantify the impact on business performance in terms of a program to assist firms in a given territory Public financial aids and subsidies Efficiency vs. Effectiveness Ex-ante evaluation vs. Ex-post evaluation

Page 3 Evaluation Network Meeting C. CALZADA13/11/08 Review Public partners in region – 11 studies between 2004 and 2008 – 14 programs evaluated Development objectives of the partners : – improve the programs – call into question the appropriateness of financial aids and subsidies Experimental data vs. nonexperimental Matching methods Econometric estimation – Structural effects and selection bias

Page 4 Evaluation Network Meeting C. CALZADA13/11/08 Analytical tools StructuralEffects Comparison of distributions means GLM SelectionBias Matching methods Rubin Selectivity methods Heckman

Page 5 Evaluation Network Meeting C. CALZADA13/11/08 Case study ARDAN : Regional association for the development of new activities, National/Regional, Cne-Cnam Nonexperimental data : – Treatment group : 440 firms treated between 1999 and 2002 by ARDAN – Control group : firms randomly – Matching with data from administrative sources in statistics : Sirene, Dads, Ficus

Page 6 Evaluation Network Meeting C. CALZADA13/11/08 Data sources Variables of interest : – Growth rate of value added and between T-1 and T+3 Explanatory variables : – T-1 : dated from the year before the obtention of aid (endogeneity problem) – sector activitiy, financial data, year of obtaining financial aid, location, firm size, year of creation of the firm

Page 7 Evaluation Network Meeting C. CALZADA13/11/08 Structural effects Generalized Linear Model (GLM) Productivity, investment rate, exportation rate, age of firm (4), sector activity (4), year of the financial aid (4), firm size (6), Ardan aid Differences of means Difference of means corrected Employment*+ 7,2+ 12,4 Value added*+ 13,7+ 16,7 Between T-1 and T+3

Page 8 Evaluation Network Meeting C. CALZADA13/11/08 Selection bias Evaluation model of RUBIN Causal effectEmploymentValue added Treatment group ,5 Control group+ 15,5+ 23,5 Between T-1 and T+3

Page 9 Evaluation Network Meeting C. CALZADA13/11/08 Results

Page 10 Evaluation Network Meeting C. CALZADA13/11/08 Lessons learned Implementation tools : – Sharing tools in the regional network – Rapid and inexpensive – Econometric skills – Efforts in explaining the econometric results Tomorrow : – Strategy Insititute in region – Ex-ante evaluation (Crest, French ministerial statistical offices)

Page 11 Evaluation Network Meeting C. CALZADA13/11/08 Many thanks for your attention