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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 2020/2021
- 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
- Periodo didattico
- Annualità singola (A1)
- Tipologia
- Altre attività
- Crediti/Valenza
- 6
- SSD dell'attività didattica
- NN/00 - nessun settore scientifico
- Modalità di erogazione
- A distanza
- 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
12 streaming lectures of 3h 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 April 8th and will end on May 14th. It will be held on Thur and Fri, 2-5pm.
Possible changes in the schedule will be communicated through the Moodle platform.
12 streaming lectures of 3h 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 April 8th and will end on May 14th. It will be held on Thur and Fri, 2-5pm.
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)
- Introduction to non-linear models
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)
- Introduction to non-linear models
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
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