Università Roma Tre

The course aims at providing students with the quantitative methods for the economic and policy analysis. The course is structured in three modules, each of them covers different concepts and methods with a quantitative applied approach:
Module 1: Geospatial information for socio-economic and environmental analysis (20h)
- Geographic Information Systems, Remote Sensing and their applications
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Modelling spatial phenomena
Module 2: Counterfactual evaluation of public policies ex-post impact (20h)
- Impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Models: Matching, Difference-in-differences, Regression discontinuity; Synthetic control
- Empirical applications: different methods for different policies
Module 3: CGE models for ex-ante trade policy impact evaluation (20h)
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model, formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Applications: trade in value added, regional trade agreements, multilateral liberalization, preferential policies

Module 1:
de By, R.A (ed.) (2001): Principles of Geographic Information Systems. An introductory textbook, ITC. Educational Textbook Series 1, Enschede. Chapters: 1, 2, 3, 5, 6
Martínez, J.A., Pfeffer, K. and Baud, I. (2016): Factors shaping cartographic representations of inequalities: maps as products and processes, Habitat International: A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.
Module 2:
Angrist, J. and Pischke, J.S. (2009): Mostly harmless econometrics, Princeton University Press, NJ;
Blundell, R. and Costa-Dias, M. (2009): Alternative Approaches to Evaluation in Empirical Microeconomics, Journal of Human Resources, 44(3).
Dell, M. (2010): The Persistent Effects of Peru's Mining Mita, Econometrica,78, 1863–1903.
Module 3:
Burfisher, M. (2017). Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. Chapters: 1, 2, 3, 7 e 8. (required)
Kehoe, T. J., Pujolàs, P. S. and Rossbach, J. (2017). Quantitative Trade Models: Developments and Challenges. Annual Review of Economics, 9:295–325
Hertel T. W. (2012). Global Applied General Equilibrium Analysis using the GTAP Framework. GTAP Working Paper No. 66

Notes and lab materials for attending students will be provided at the beginning of each module.

The course aims at providing students with the quantitative methods for the economic and policy analysis. The course is structured in three modules, each of them covers different concepts and methods with a quantitative applied approach:
Module 1: Geospatial information for socio-economic and environmental analysis (20h)
- Geographic Information Systems, Remote Sensing and their applications
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Modelling spatial phenomena
Module 2: Counterfactual evaluation of public policies ex-post impact (20h)
- Impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Models: Matching, Difference-in-differences, Regression discontinuity; Synthetic control
- Empirical applications: different methods for different policies
Module 3: CGE models for ex-ante trade policy impact evaluation (20h)
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model, formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Applications: trade in value added, regional trade agreements, multilateral liberalization, preferential policies

Module 1:
de By, R.A (ed.) (2001): Principles of Geographic Information Systems. An introductory textbook, ITC. Educational Textbook Series 1, Enschede. Chapters: 1, 2, 3, 5, 6
Martínez, J.A., Pfeffer, K. and Baud, I. (2016): Factors shaping cartographic representations of inequalities: maps as products and processes, Habitat International: A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.
Module 2:
Angrist, J. and Pischke, J.S. (2009): Mostly harmless econometrics, Princeton University Press, NJ;
Blundell, R. and Costa-Dias, M. (2009): Alternative Approaches to Evaluation in Empirical Microeconomics, Journal of Human Resources, 44(3).
Dell, M. (2010): The Persistent Effects of Peru's Mining Mita, Econometrica,78, 1863–1903.
Module3:
Burfisher, M. (2017). Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. Chapters: 1, 2, 3, 7 e 8. (required)
Kehoe, T. J., Pujolàs, P. S. and Rossbach, J. (2017). Quantitative Trade Models: Developments and Challenges. Annual Review of Economics, 9:295–325
Hertel T. W. (2012). Global Applied General Equilibrium Analysis using the GTAP Framework. GTAP Working Paper No. 66

Notes and lab materials for attending students will be provided at the beginning of each module.

The course aims at providing students with the quantitative methods for the economic and policy analysis. The course is structured in three modules, each of them covers different concepts and methods with a quantitative applied approach:
Module 1: Geospatial information for socio-economic and environmental analysis (20h)
- Geographic Information Systems, Remote Sensing and their applications
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Modelling spatial phenomena
Module 2: Counterfactual evaluation of public policies ex-post impact (20h)
- Impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Models: Matching, Difference-in-differences, Regression discontinuity; Synthetic control
- Empirical applications: different methods for different policies
Module 3: CGE models for ex-ante trade policy impact evaluation (20h)
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model, formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Applications: trade in value added, regional trade agreements, multilateral liberalization, preferential policies