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QUANTITATIVE METHODS FOR DEVELOPMENT ECONOMICS AND COOPERATION
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QUANTITATIVE METHODS FOR DEVELOPMENT ECONOMICS AND COOPERATION
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Anno accademico 2021/2022
- Codice dell'attività didattica
- CPS0696
- Docenti
- Prof. Pierluigi Conzo (Titolare dell'insegnamento)
Marco Sanfilippo (Titolare dell'insegnamento) - Corso di studi
- Master's Degree Course in Area and global studies for international cooperation
- Anno
- 1° anno 2° anno
- Periodo didattico
- Secondo semestre
- Tipologia
- Altre attività
- Crediti/Valenza
- 6
- SSD dell'attività didattica
- NN/00 - nessun settore scientifico
- Modalità di erogazione
- Tradizionale
- Lingua di insegnamento
- Inglese
- Modalità di frequenza
- Obbligatoria
- Tipologia d'esame
- Prova pratica
- Prerequisiti
- Good knowledge of economics and basic statistical tools.
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Sommario insegnamento
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Obiettivi formativi
Provide students with basic analytic tools for analysis and interpretation of data in the field of development economics.
Provide students with basic analytic tools for analysis and interpretation of data in the field of development economics.
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Risultati dell'apprendimento attesi
Good knowledge of basic econometric tools for the analysis of data and interpretation of empirical results in the field of applied development economics.
Good knowledge of basic econometric tools for the analysis of data and interpretation of empirical results in the field of applied development economics.
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Modalità di insegnamento
18 lectures of 2h each. Materials and links to webex will be uploaded on the moodle page of the course.
Students enrolled can download a study-version of STATA 17 for practice.
The course will start on 24 March 2021 and will end on 6 May 2022. It will be held on Thursdays and Fridays from 2 to 5 pm in classroom Li3 at Campus Luigi Einaudi (computer lab - yet students can bring their own laptop).
Possible changes in the schedule will be communicated through the Moodle platform.
18 lectures of 2h each. Materials and links to webex will be uploaded on the moodle page of the course.
Students enrolled can download a study-version of STATA 16 for practice.
The course will start on 24 March 2021 and will end on 6 May 2022. It will be held on Thursdays and Fridays from 2 to 5 pm in classroom Li3 at Campus Luigi Einaudi (computer lab - yet students can bring their own laptop).
Possible changes in the schedule will be communicated through the Moodle platform.
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Modalità di verifica dell'apprendimento
Student's work, e.g. essay or commentary with analysis of a dataset provided by the instructor.
Student's work, e.g. essay or commentary with analysis of a dataset provided by the instructor.
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Attività di supporto
Extra tutorials will be scheduled during the course.
Extra tutorials will be scheduled during the course.
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Programma
Basic quantitative tools for analysis of data: theory (Econometrics) and practice (STATA)
Application of econometric tools to development economics.
In particular, the following topics will be covered:
- Data management and basic statistics in STATA
- OLS: introduction, assumptions & applications
- Causal inference, difference-in-differences & programme evaluation
- Instrumental Variables
- Analysis of panel data (an introduction, if students survive the previous topics)
- Introduction to non-linear models (depending on time constraints)
Basic quantitative tools for analysis of data: theory (Econometrics) and practice (STATA)
Application of econometric tools to development economics.
In particular, the following topics will be covered:
- Data management and basic statistics in STATA
- OLS: introduction, assumptions & applications
- Causal inference, difference-in-differences & programme evaluation
- Instrumental Variables
- Analysis of panel data (an introduction, if students survive the previous topics)
- Introduction to non-linear models (depending on time constraints)
Testi consigliati e bibliografia
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- Lecture slides and other materials suggested during classes.
- (MAIN) M. Söderbom, F. Teal, M. Eberhardt, S. Quinn and A. Zeitlin. Empirical Development Economics. London and New York: Routledge
- J. Angrist & JS Pischke, Mostly Harmless Econometrics. Princeton press.
- Lecture slides and other materials suggested during classes.
- (MAIN) M. Söderbom, F. Teal, M. Eberhardt, S. Quinn and A. Zeitlin. Empirical Development Economics. London and New York: Routledge
- J. Angrist & JS Pischke, Mostly Harmless Econometrics. Princeton press.
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Note
A maximum of 25 students can be enrolled in this Lab.
In case of higher demand, price will go up: selection will be based on student's performance in the module Development Economics and International Cooperation (Prof. Conzo).
Extra students will be admitted upon motivated request, and - in any case - decision will be based on the instructors' discretion.
You have to enroll FIRST through this page (campusnet). The "click day" is Friday March 4th. Then, about one week before the beginning of the classes, you will receive the password to enroll in the moodle page of the course.
A maximum of 25 students can be enrolled in this Lab.
In case of higher demand, price will go up: selection will be based on student's performance in the module Development Economics and International Cooperation (Prof. Conzo).
Extra students will be admitted upon motivated request, and - in any case - decision will be based on the instructors' discretion.
You have to enroll FIRST through this page (campusnet). The "click day" is Friday March 4th. Then, about one week before the beginning of the classes, you will receive the password to enroll in the moodle page of the course.
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Altre informazioni
https://elearning.unito.it/scuolacle/course/view.php?id=2335- Oggetto:
