EMPIRICAL METHODS IN IMPACT EVALUATION

Attività formativa monodisciplinare
Codice dell'attività formativa: 
149002-ENG

Scheda dell'insegnamento

Per studenti immatricolati al 1° anno a.a.: 
2018/2019
Insegnamento (nome in italiano): 
EMPIRICAL METHODS IN IMPACT EVALUATION
Insegnamento (nome in inglese): 
EMPIRICAL METHODS IN IMPACT EVALUATION
Tipo di attività formativa: 
Attività formativa Caratterizzante
Tipo di insegnamento: 
Obbligatoria
Settore disciplinare: 
ECONOMIA POLITICA (SECS-P/01)
Anno di corso: 
1
Anno accademico di offerta: 
2018/2019
Crediti: 
6
Responsabile della didattica: 
Altri docenti: 
Mutuazioni

Altre informazioni sull'insegnamento

Modalità di erogazione: 
Didattica Convenzionale
Lingua: 
Inglese
Ciclo: 
Primo Semestre
Obbligo di frequenza: 
No
Ore di attività frontale: 
48
Ore di studio individuale: 
102
Ambito: 
Economico
Materiali didattici: 
Prerequisites

None apart from those requirements obligatory for entrance to the course. http://www.unibg.it/economia, section Piani di studio.
In any case, it is strongly suggested to have attended the Applied Econometrics course.

Educational goals

The course aims at introducing students to the main theoretical and empirical tools used for data analysis and applied empirical research. The course will focus on the identification and estimation of causal relationships. At the end of the course, participants should be able to critically read scientific articles and to start designing and performing their own analysis using the tools illustrated. The methods presented will allow students to address policy questions that are relevant from a social and economic perspective. For example: Does smoking cause cancer? Does an additional year of education increase future earnings? Does job training increase productivity? Does minimum wage affect unemployment? Does more police reduce crime rate?
Students will be introduced to applied micro econometrics toolkits and at the end of the course students will be able to search for policy relevant questions, define a credible and appropriate research design, collect data and perform empirical analysis through the use of econometric software (i.e. Stata).

Course content

The course covers empirical strategies for applied policy questions. The main objective of the course is to introduce students to the empirical tools for counterfactual analysis. The course will discuss and present the identification strategies and estimation techniques that are relevant for the identification of causal effects using observational data.
Specifically, the course will cover the following topics:
• OLS.
• Panel Data.
• The ideal experiment: Causal effects and the selection problem.
• Matching and Propensity Score.
• Randomized controlled trials.
• From observational data to natural experiments: instrumental variables.
• Panel, difference-in-differences, and synthetic control models.
• Regression discontinuity designs.
• Quantile regressions
The emphasis will be on the practical implementation of each approach using Stata.

Textbooks and reading lists

Compulsory textbooks and references:
- Angrist, Joshua D. and Jorn-Steffen Pischke (2009). Mostly Harmless Econometrics - An Empiricist’s Companion. Princeton University Press.
- Ichino, Andrea (2014). The problem of causality in microeconometrics. Link: http://www.andreaichino.it/teaching_material/newcausa_5.pdf
- Perez-Truglia, Ricardo. Applied Econometrics Using Stata. Link: http://www.people.fas.harvard.edu/~rtruglia/applied.pdf (n.b. preliminary and incomplete version, the final version should be available before the beginning of the course)

Additional textbooks (research material)
- Manski Charles F. (2013). Public Policy in an Uncertain World: Analysis and Decisions. Harvard University Press.
- Cameron, A. Colin, and Pravin K. Trivedi (2005). Microeconometrics: Methods and Applications. Cambridge. University Press, New York.
- Wooldridge, Jeffrey M. (2010). Econometric Analysis of Cross Section and Panel Data. Second edition. MIT Press.

Teaching methods

The course combines traditional lectures with practical sessions during which the students will have the possibility to familiarize themselves with the techniques presented in the lectures. Both traditional lectures and practical sessions aim at fostering participation and class discussion.

Assessment and Evaluation

The procedure and content of the exam will be the same for both attending and non-attending students. The final evaluation consists of:
- Two Applied assignments (50% of the final grade). The purpose of this task is two-fold: 1) developing practical skills, 2) offering the students the opportunity to apply their knowledge to real data. Students may work in small group or individually. In any case, every student has to hand in his/her own solution.
- Final written exam (50% of the final grade).

Further information

Most of the papers that will be discussed during classes are available through the UniBG On-line Library Services. Dataset, problem set, additional documents and papers will be posted through Google Drive associated to students’ institutional email.