Università Roma Tre

Module 3

- Introduction to spatial data models
- Introductions to database management systems
- Geographic Information Systems and their applications
- Remote Sensing and its applications
- Geospatial databases: how, where and when
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Generating new spatial information
- Mapping and representing socio-economic and environmental information
- Modelling spatial phenomena
- Working with spatio-temporal scenarios

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.

ISTAT (2015) La nuova geografia dei sistemi locali, on-line: http://www.istat.it/it/archivio/172444
ISTAT (2014) Rapporto BES, on-line: www.istat.it/it/archivio/126613

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: CGE models for ex-ante climate and energy 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: tradable pollution permits; carbon tax; climate change and climate negotiation
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: 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 1:
Burfisher, M. (2017). Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. Chapters: 1, 2, 3, 4, 5, 6.
Burniaux, Jean-Marc and Truong, Truong P. (2002). GTAP-E: An Energy-Environmental Version of the GTAP Model" (2002). GTAP Technical Papers 18.
Antimiani et al. (2017). The Green Climate Fund as an effective compensatory mechanism in global climate negotiations. Environmental Science and Policy, 77, pp. 49-68.
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:
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.

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