Program Evaluation

Course Syllabus

CEU, Winter 2012

3 CEU credits (6 ECTS credits)

Lecturer: Gabor Kezdi

Room 412, Nador 11

kezdig@ceu.hu

 

 

Short outline. This 3-cerdit course is an introduction to the logic and methods of modern social program evaluation. Program evaluation derives from the idea that social programs should have demonstrable effects, and those effects should in some way outweigh the costs of the program. We concentrate on the most important and perhaps most difficult question: How to measure the effect of a program? This is an applied econometrics course, with equal emphasis on the applied and the econometrics part. We are going to cover some new econometric methods and go over many real-life applications (many to be presented by the students, see later). The main text is pure econometrics (Imbens and Wooldridge, 2009), and it will be supplemented by many journal articles, most of them applied.

 

Course level. The course is designed for MA students in Economics or Economic Policy who have successfully completed their core courses. The course is also open for MPP students who have demonstrated sufficient background in statistics and econometrics.

 

Prerequisites: Core Statistics and Econometrics courses in the Economics or the Economic Policy MA program. Please contact the lecturer if you have not completed the prerequisites but would like to join the course: permit to join the course is granted on a case-by-case basis.

 

The goals of the course. The main aim of this course is to provide the students with up-to-date tools of program evaluation. Students successfully completing this course should be able to understand an evaluation study in great detail and form a well-grounded judgment about its value. Complemented with appropriate technical background or help, they should be able to design an evaluation study best suited for the program and the practical constraints at hand.

 

The learning outcomes of the course. i) development of analytical skills and practical knowledge to a level where students can read critically any program evaluation research output (and evaluate its merit); ii) development of skills to a level where they can design and, with appropriate help, carry out such research projects; iii) development of technical skills which enable students to understand and most of the econometric tools used in program evaluations; iv) development of presentation skills with the aim of generating constructive discussion; v) development of social skills for critical but constructive discussion.

 

Detailed outline

(1)      Intro. The policy context. Important concepts. Defining the object of interest. The identification problem. SUTVA.
Imbens and Wooldridge (2009).

(2)      Randomized field experiments. Identification, examples and practical problems.
Imbens and Wooldridge (2009). PROGRESA in Mexico, the NSW in the U.S.

(3)      Regression-discontinuity design.
Imbens and Wooldridge (2009), Hahn, Todd, Van der Klaauw (2001). Mandatory Job Search in the U.S., class size in Israel, unemployment benefits in Austria.

(4)      Identification and estimation under unconfoundedness (ignorable treatment) 1. Regression, diff-in-diffs.
Imbens and Wooldridge (2009). LaLonde (1986). The NSW in the U.S.

(5)      Identification and estimation under unconfoundedness (ignorable treatment) 2. Matching, propensity score methods.
Imbens and Wooldridge (2009). Dehejia and Wahba (2002). Teacher training in Israel.

(6)      Combined methods.
Imbens and Wooldridge (2009). Familias en Accion in Colombia, Integrated education in Hungary.

(7)      Equilibrium effects.
The Knowledge Lift of Sweden, The New Deal for the Young Unemployed in the U.K.

(8)      Effect mechanisms.
Ham and LaLonde (1996), Lee (2008)

(9)      Student presentations.

(10)   Summary and review.

See the course website about the presentation schedule, problem sets, suggested presentation topics, and papers not included in the reader:

http://www.personal.ceu.hu/staff/Gabor_Kezdi/Program-Evaluation

 

Assessment

10% problem sets

30% presentation

10% classroom activity

50% exam

 

Students have to present a particular evaluation study. Student presentations can take 20 minutes at most (strictly enforced). They should answer the following questions.

What are the program’s goal, target group, intended effect and supposed mechanism?

What are the outcome variable, data and methodology used in the evaluation study? What is the result?

Evaluate the evaluation study. Do you believe the results? Was the evaluation study properly designed and the appropriate methods used under the given circumstances? Would you do something differently? What and how and why?

 

MAIN TEXT

Imbens, G. W. and J. M. Wooldridge (2009), “Recent Developments in the Econometrics of Program Evaluation.” Journal of Economic Literature, 47:1, 5–86

 

ADDITIONAL READINGS

general readings

Ashenfelter, Orley (1978): “Estimating the effect of training programs on earnings,” Review of Economics and Statistics, 6(1): 47-57.

LaLonde, Robert J. (1986): “Evaluating the econometric evaluations of training programs with experimental data.” American Economic Review, 76(4): 604-620.

Smith (2000) “A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies.” Swiss Journal of Economics and Statistics. 136(3): 1-22.

Smith, Jeffrey. 2000. “Evaluating Active Labour Market Policies: Lessons from North America.”

Blundell, Richard and Monica Costa Dias (2002): “Alternative approaches to evaluation in empirical microeconomics,” cemmap Working Paper CWP10/02.

Heckman, James and Jeffrey Smith. 2004. “The Determinants of Participation in a Social Program: Evidence from a Prototypical Job Training Program.” Journal of Labor Economics. 22(4): 243-298.

Deaton (2009): Instruments of Development. Randomization in the tropics, and the search for the elusive keys to economic development

 

randomized experiments

Banerjee and Duflo: The Experimental Approach to Development Economics

Control Freacks – A short article by The Economist (June 12, 2008)

Skoufias (2005): PROGRESA and Its Impacts on the Welfare of Rural Households in Mexico. Research Report 139, IFPRI.

Bertrand, M and Mullainathan, S. (2003): “Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination.” NBER WP 9873.

 

regressiond discontinuity design

Hahn, Todd, and Van der Klaauw (2001): “Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design,” Econometrica, 69(1): 201-209.

Angrist and Lavy (1999): “Using Maimonedes' Rule to Estimate the Effect of Class Size on Scholastic Achievement,” QJE 114(2), 533-575

Black, Galdo and Smith (2005): “Estimating the Selection Bias of the Regression-Discontinuity Design Using a Tie-Breaking Experiment,” Working Paper

 

propensity score and matching

Dehejia and Wahba (2002): “Propensity score matching methods for non-experimental causal studies,” Review of Economics and Statistics, 84(1): 151–161.

   and the debate they stirred:

   Smith and Todd: Does Matching Overcome Lalonde’s Critique of Nonexperimental Estimators?

   Dehejia (2005): Practical propensity score matching: a reply to Smith and Todd (Journal of Econometrics, 125; 355-364)

   Smith and Todd: Rejoinder

  Dehejia: Re-Rejoinder

 

effect mechanisms

Ham, John C. and Robert J. LaLonde (1996): “The effect of sample selection and initial conditions in duration models: Evidence from experimental data on training.” Econometrica, 64(1): 175-205.

Lee, David S. (2008), “Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects.” Working Paper

 

some interesting applications

Black, Smith, Berger and Noel: “Is the Threat of Reemployment Services More Effective than the Services Themselves? Evidence from Random Assignment in the UI System” American Economic Review. 93(4): 1313-1327. 

Blundell, Costa Dias, Meghir and Van Reenen (2004): “Evaluating the employment impact of a mandatory job serach program,” Journal fo the European Economic Association, 2(4): 569-606.

Albrecht, van den Berg, and Vroman,  “The knowledge lift: The Swedish adult education program that aimed to eliminate low worker skill levels.” IFAU Working Paper, 2004: 17.

Suranyi and Kezdi (2009): A Successful School Integration Program. An Evaluation of the Hungarian National School Integration Program, 2005-7. Roma Education Fund.

 

ONLINE RESOURCES

http://en.wikipedia.org/wiki/Program_evaluation

http://www.evaluationwiki.org/index.php/Main_Page

Many more online resources are available from http://www.evaluationwiki.org/index.php/Public_Domain_Evaluation_Resources

The User-Friendly Handbook for Project Evaluation. National Science Foundation, 2002

JPAL: The Abdul Latef Jameel Poverty Action Lab at M.I.T.

http://www.programevaluation.org/

http://www.eval.org/

http://www.evaluationcanada.ca/site.cgi?s=1

http://www.ngoms.org/monitoringandevaluation.htm

IFS – A British policy research institute in relation to UCL. http://www.ifs.org.uk/,

IFAU – A Swedish institute for labor market policy evaluation. http://www.ifau.se/?epslanguage=EN 

Evidence Network – A British network on policy research. http://evidencenetwork.org/Mission.html

IZA Labor Policy – Policy resarch branch of a labor economics research institute. http://www.iza.org/ 

Melbourne CPE – An Australian research group on education policy. http://www.edfac.unimelb.edu.au/EPM/CPE/

Melbourne  Institute of Applied Econmic and Social Research. http://melbourneinstitute.com/labour/