ntroduction.
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: comparison structure if, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.

- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.

1. Introduction to Environmental Economics
1.1 Introduction and general information about the course (programme in detail, final exam, textbooks, other material, dropbox folder)
1.2 Definition of externality
1.3 Public goods
1.4 Property rights (public, private, collective) and the Coase theorem
1.5 Pollution (local, national, transboundary, global)
1.6 Natural resources (renewable, exhaustible)

2. Monetary value of externalities
2.1 Contingent valuation method: Willingness to Pay versus Willingness to Accept
2.2 Hedonic price and transport cost methods
2.3 Cost-benefit analysis
2.4 Discounting

3. Monetary value of resource exploitation
3.1 Hotelling rule
3.2 Net Present Value method

4. Environmental Accounts
4.1 Input Output approaches and databases (NAMEA, WIOD, EXIOMOD)
4.2 Satellite Accounts (EPEA), alternative measures of GDP (Genuine saving, Green GNP)

5 Sustainable Development
5.1 Definition and measure
5.2 Recent debate: from the Fitoussi Commission to the SDGs agenda
5.3 Alternative measures of well-being including environment

6 Specific topics
6.1 Payment for environmental services
6.2 Renewable resources (forestry, fishery, water)
6.3 Waste management
6.4 Energy
6.5 Climate change

7 Environmental policies
7.1 Geographical scales for policies (local, national, global)
7.2 Environmental policies (demand-pull vs. supply-push, price-based vs. quantity-based, tax, permits, standards)
7.3 International environmental policies (SDGs, Roadmap2050, 450PPM, low-carbon strategy)

8 Environmental innovation
8.1 Eco-innovation: complexity, dynamics, evolution and trajectories
8.2 Eco-innovation policies
8.3 Case study 1: biofuels
8.4 Case study 2: energy efficiency

9 Multi-dimensional issues
9.1 Environment and food security
9.2 Environment and trade
9.3 Environment and innovation: green growth and win-win strategies
9.4 Environmental Kuznets Curve
9.5 Resource Curse Hypothesis

Tietenberg T., Lewis L. (2012), Environmental & Natural Resource Economics, 9th Edition, US: Pearson Education.

1. Introduction to Environmental Economics
1.1 Introduction and general information about the course (programme in detail, final exam, textbooks, other material, dropbox folder)
1.2 Definition of externality
1.3 Public goods
1.4 Property rights (public, private, collective) and the Coase theorem
1.5 Pollution (local, national, transboundary, global)
1.6 Natural resources (renewable, exhaustible)

2. Monetary value of externalities
2.1 Contingent valuation method: Willingness to Pay versus Willingness to Accept
2.2 Hedonic price and transport cost methods
2.3 Cost-benefit analysis
2.4 Discounting

3. Monetary value of resource exploitation
3.1 Hotelling rule
3.2 Net Present Value method

4. Environmental Accounts
4.1 Input Output approaches and databases (NAMEA, WIOD, EXIOMOD)
4.2 Satellite Accounts (EPEA), alternative measures of GDP (Genuine saving, Green GNP)

5 Sustainable Development
5.1 Definition and measure
5.2 Recent debate: from the Fitoussi Commission to the SDGs agenda
5.3 Alternative measures of well-being including environment

6 Specific topics
6.1 Payment for environmental services
6.2 Renewable resources (forestry, fishery, water)
6.3 Waste management
6.4 Energy
6.5 Climate change

7 Environmental policies
7.1 Geographical scales for policies (local, national, global)
7.2 Environmental policies (demand-pull vs. supply-push, price-based vs. quantity-based, tax, permits, standards)
7.3 International environmental policies (SDGs, Roadmap2050, 450PPM, low-carbon strategy)

8 Environmental innovation
8.1 Eco-innovation: complexity, dynamics, evolution and trajectories
8.2 Eco-innovation policies
8.3 Case study 1: biofuels
8.4 Case study 2: energy efficiency

9 Multi-dimensional issues
9.1 Environment and food security
9.2 Environment and trade
9.3 Environment and innovation: green growth and win-win strategies
9.4 Environmental Kuznets Curve
9.5 Resource Curse Hypothesis

Tietenberg T., Lewis L. (2012), Environmental & Natural Resource Economics, 9th Edition, US: Pearson Education. Capitoli: 1-2-3-4-5-6-7-8 (da leggere)-9-12-14-16 (da leggere) (excluding Appendix).

Dispense
Dispensa 1: Fondamenti di economia dell’ambiente
Dispensa 2: Misurare la sostenibilità
Dispensa 3: Sviluppo sostenibile
Dispensa 4: Ambiente, commercio e Kyoto (pp. 1-71)
Dispensa 5: Metodi di valutazione economica delle esternalità

The supply of agri-food products
- Agriculture and perfect competition
- Market structures and imperfect competition in agri-food sector
- Production costs agricultural supply in the short term
- Production costs and agricultural supply in the long term

The demand for agri-food products
- Recalls of consumption theory: from the utility function to the demand curve
- Income and substitution effect and classification of goods
- Price elasticity
- Income elasticity and Engel's law
- The demand for food as differentiated goods

Agriculture and agri-food system in Italy
- The Italian agri-food system
- The Italian import-export of agri-food products and the role of Made in Italy
- Quality and indications of origin in agri-food markets

The Common Agricultural Policy (Cap) of the EU and its application in Italy
- The Pac from the origin to the present day
- First and second pillar of the Cap: direct payments and rural development
- Multifunctionality of agriculture: environment, externality and public goods

- M. De Benedictis, F. Cosentino, Economia dell'azienda agraria, Il Mulino, Bologna, 1979: cap. 1, 6 e 7
- F. De Filippis, La domanda dei prodotti agroalimentari
- F. De Filippis (a cura di), L'agroalimentare italiano nel commercio mondiale, Roma, 2012: introduzione e capitoli 3, 5 e 6
- Selected readings on Italian agri-food sector will be delivered during the course
- Selected readings on EU Common agricultural policy will be delivered during the course
- R. Henke, C. Salvioni, La multifunzionalità in Europa

ntroduction.
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: comparison structure if, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.

- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.

Compulsory readings:

Szirmai A. (2015) Socio-Economic Development: Cambridge University Press, 2nd Ed.., chapters 8 and 9.
Crespi G., Fernandez-Arias E. and Stein E. (Eds.), 2014, Rethinking Productive Development: Sound Policies and Institutions for Productive Transformation, Development in the Americas, London: Palgrave for Inter-American Development Bank. Chapters 1, 2 and 3.
Cirera X. and Maloney W.F., 2017, The Innovation Paradox: Developing Country Capabilities and the Unrealized Promise of Technological Catch-Up, Washington DC: The World Bank, https://openknowledge.worldbank.org/handle/10986/28341 chapters 1, 2, and 4.

Articles:
1. Bell M.R. and Pavitt K., 1993, ‘Technological Accumulation and Industrial Growth : Contrasts between Developed and Developing Countries’, Industrial and Corporate Change, Vol.2 No.2.
2. Casaburi G., Maffioli A., Pietrobelli C., 2014, Policies to Promote Coordination among Interlinked Firms, in Crespi et al., Rethinking Industrial Policy: Sound Policies and Institutions for Productive Transformation, Palgrave, chapter 7.
3. Fagerberg J., 2006, “Innovation. A Guide to the Literature”, in J.Fagerberg and D.Mowery (Eds.) The Oxford Handbook of Innovation, Oxford: Oxford University Press.
4. Gereffi G., Humphrey J., Sturgeon T., 2005, “The governance of global value chains”, Review of International Political Economy, 12:1, 78-104.
5. Giuliani E., Pietrobelli C. and Rabellotti R. (2005) “Upgrading in Global Value Chains: Lessons from Latin American Clusters”, World Development, Vol.33(4), pp. 549–73.
6. Hallward-Driemeier, Mary, and Lant Pritchett. 2015. "How Business Is Done in the Developing World: Deals versus Rules." Journal of Economic Perspectives, 29(3): 121-40. https://www.aeaweb.org/articles.php?doi=10.1257/jep.29.3.121
7. Hausmann R. and Rodrik D., (2003), “Economic Development as Self Discovery,” Journal of Development Economics, Vol.72, Issue 2, pages 603-33, December (also NBER Working Paper No. 8952).
8. Lall S., 1992, "Technological Capabilities and Industrialization", World Development, Vol.20 No.2
9. Lundvall B‐Å. (2007) “National Innovation Systems—Analytical Concept and Development Tool”, Industry and Innovation, 14:1, 95-119, DOI: 10.1080/13662710601130863
10. Maffioli A., Pietrobelli C. and Stucchi R., 2016, The Impact Evaluation of Cluster Development Programs, Washington D.C.: Inter-American Development Bank, http://dx.doi.org/10.18235/0000335 Chapter 1.
11. McMillan, M., Rodrik, D., Verduzco-Gallo, I., 2014, “Globalization, Structural Change, and Productivity Growth, with an Update on Africa”. World Development 63: 11-32, doi: 10.1016/j.worlddev.2013.10.012
12. Nelson R.R., 2008, “Economic Development from the Perspective of Evolutionary Theory”, Oxford Development Studies Vo.36 No.1 March, pp.9-22
13. Pietrobelli, C. & Staritz, C., 2017, “Upgrading, Interactive Learning, and Innovation Systems in Value Chain Interventions”, European Journal of Development Research, https://doi.org/10.1057/s41287-017-0112-5

Additional (Optional) Readings
 Chatterji A., Glaeser E.L., Kerr W.K., 2013, “Clusters of Entrepreneurship and Innovation”, NBER Working Paper 19013 http://www.nber.org/papers/w19013
 EIU, “Innovation Clusters: Understanding life cycles”, The Economist Intelligence Unit, London http://destinationinnovation.economist.com/category/cluster-effects/
 Fernández-Arias E., Sabel C., Stein E., Trejos A., 2017, “Two to Tango: Public-Private Collaboration for Productive Development Policies”, IDB Working Paper IDB-WP-855, Washington D.C.: The Inter-American Development Bank. https://publications.iadb.org/handle/11319/8697
 Fu X., Pietrobelli C., Soete L., 2011, “The Role of Foreign Technology and Indigenous Innovation in the Emerging Economies: Technological Change and Catching-up”, World Development Vol. 39, No. 7, pp. 1204–1212
 Hausmann R. and Rodrik D. (2006) “Doomed to Choose: Industrial Policy as a Predicament”, Harvard Kennedy School Working Paper. http://www.hks.harvard.edu/index.php/content/download/69495/1250790/version/1/file/hausmann_doomed_0609.pdf
 Humphrey J. and Schmitz H. (2002) “How does insertion in global value chains affect upgrading industrial clusters?”, Regional Studies, Vol. 36, No.9.
 Lall S. and Pietrobelli C., 2005, “National Technology Systems in Sub-Saharan Africa”, International Journal of Technology and Globalization, KSG, Harvard, Vol.1 No.3-4, 2005.
 Lin J. and Chang H.J., 2009, “Should Industrial Policy in Developing Countries Conform to Comparative Advantage or Defy it? A Debate Between Justin Lin and Ha-Joon Chang”, Development Policy Review, 2009, 27 (5): 483-502
 Pietrobelli C., 1997, ‘On the Theory of Technological Capabilities and Developing Countries’ Dynamic Comparative Advantage in Manufactures’, Rivista Internazionale di Scienze Economiche e Commerciali, Vol.XLIV, No. 2, June.
 Podcast on Structural Change, Interview to Dani Rodrik, IMF Podcast, http://www.imf.org/external/pubs/ft/survey/so/2013/INT062813A.htm
 Rodrik D., 2013, “Unconditional Convergence in Manufacturing”, Quarterly Journal of Economics, pp.165-204, doi:10.1093/qje/qjs047
 Schmitz H. and Nadvi K., (1999). "Clustering and Industrialization: Introduction”, World Development, Vol. 27, No.9., pp. 1503-14.
 Szirmai A., 2011, “Manufacturing and Economic Development”, UNU-WIDER Working Paper No. 2011/75, November, https://www.wider.unu.edu/publication/manufacturing-and-economic-development

Over the past three decades the importance of cities and regions has increased in parallel with the ‘globalisation’ of the world economy. The expansion of trade, the internationalization of firms, the galloping process of outsourcing, and the emergence of new Information and Communication Technologies are not creating a 'flat world'. Not all cities and regions have the same capacity to maximize the benefits and opportunities and minimize the risks linked to globalization. Numerous forces are coalescing in order to provoke the emergence of urban 'mountains' where wealth, economic activity, and innovative capacity agglomerate. This course aims to provide students with an in-depth understanding of key conceptual tools for the economic analysis of cities and regions in developed and developing countries as well as for the evaluation of the corresponding development policies. The course is organised around three – closely interrelated - themes: ‘The Economics of Cities, ‘The Economics of Regions’ and ‘Governance and Policy of Cities and Regions’. The course involves lectures, interactive student-led sessions and computer-lab practical sessions.
Section 1: The Economics of Cities
- Key concepts in Urban Economics: a) agglomeration economies; b) accessibility; c)spatial interaction; d) urban hierarchy; d) competitiveness and urban growth
- Pre-conditions and determinants of urban rent;
- Labour Markets, firm location and the geographical concentration of economic activities.

Section 2: The Economics of Regions
- Introduction to economic theories of regional growth and development;
- The neo-classical approach to regional growth and the regional convergence debate;
- Endogenous regional development;
- The New Economic Geography;
- Institutions, Innovation and regional performance.

Section 3: Governance and Policy of Cities and Regions
- The foundations of regional and urban development policies and their evaluation;
- Key tools in regional development policies;
- The Cohesion policy of the European Union: rationale, tools, implementation and impacts;

- Capello R. Regional Economics, Routledge 2nd Edition, 2016
- Krugman P. Geography and Trade, MIT Press, 1992 (selected pages).
- European Commission (2017) Seventh report on economic, social and territorial cohesion

Different readings will be made available to students attending lectures on a regular basis via mail or a dedicated Dropbox folder.

Relationship between two or more variables: independence, association; concordance.
Linear regression; Multiple regression. Case studies.
Data reduction: composite indicators, principal component analysis
Cluster analysis

Introductory Statistics with R, P. Dalgaard, Springer.

An Introduction to Applied Multivariate Analysis with R, B. Everitt, T. Hothorn, Springer.
Applied Econometrics with R, C. Kleiber, A. Zeileis, Springer.

Economic theoretical foundations of cultural economics.
Consumers preferences and utility typical of cultural economics: rational addiction and learning by consumption
Cultural capital and cultural sustainability: definition and analysis
Externalities and public goods
Social Welfare in cultural economics
The model of Baumol/Bowen: cost disease
Imperfect competition and price discrimination in cultural goods and services
The role of intellectual property rights for the arts
Specific analyses of museums, cultural heritage
Auction for art goods.

David Throsby. Cultural Economics. Cambridge University Press, 2000

- Recalls of basic statistics and statistical inference
- Hypothesis test on a parameter (mean, proportion, variance)
- Hypothesis test for the difference between means and proportions in the case of independent and paired samples
- independence tests
- Variance Analysis (ANOVA)
- Non-parametric tests (Wilcoxon, Mann-Whitney, Kuskal-Wallis, Spearman sign tests)
- Simple and multiple linear model
- Factorial analysis
- Cluster analysis
- Logistics regression
- Elements of sampling techniques and websurvey

Agresti A., Finlay B.(2015) Metodi statistici di base e avanzati, Pearson Editore
Zani S., Cerioli A. (2007) Analisi dei dati e data mining per le decisioni aziendali, Giuffrè Editore.
Notes and handout (in Italian) are available at the web page of the course.

Compulsory readings:

Szirmai A. (2015) Socio-Economic Development: Cambridge University Press, 2nd Ed.., chapters 8 and 9.
Crespi G., Fernandez-Arias E. and Stein E. (Eds.), 2014, Rethinking Productive Development: Sound Policies and Institutions for Productive Transformation, Development in the Americas, London: Palgrave for Inter-American Development Bank. Chapters 1, 2 and 3.
Cirera X. and Maloney W.F., 2017, The Innovation Paradox: Developing Country Capabilities and the Unrealized Promise of Technological Catch-Up, Washington DC: The World Bank, https://openknowledge.worldbank.org/handle/10986/28341 chapters 1, 2, and 4.

Articles:
1. Bell M.R. and Pavitt K., 1993, ‘Technological Accumulation and Industrial Growth : Contrasts between Developed and Developing Countries’, Industrial and Corporate Change, Vol.2 No.2.
2. Casaburi G., Maffioli A., Pietrobelli C., 2014, Policies to Promote Coordination among Interlinked Firms, in Crespi et al., Rethinking Industrial Policy: Sound Policies and Institutions for Productive Transformation, Palgrave, chapter 7.
3. Fagerberg J., 2006, “Innovation. A Guide to the Literature”, in J.Fagerberg and D.Mowery (Eds.) The Oxford Handbook of Innovation, Oxford: Oxford University Press.
4. Gereffi G., Humphrey J., Sturgeon T., 2005, “The governance of global value chains”, Review of International Political Economy, 12:1, 78-104.
5. Giuliani E., Pietrobelli C. and Rabellotti R. (2005) “Upgrading in Global Value Chains: Lessons from Latin American Clusters”, World Development, Vol.33(4), pp. 549–73.
6. Hallward-Driemeier, Mary, and Lant Pritchett. 2015. "How Business Is Done in the Developing World: Deals versus Rules." Journal of Economic Perspectives, 29(3): 121-40. https://www.aeaweb.org/articles.php?doi=10.1257/jep.29.3.121
7. Hausmann R. and Rodrik D., (2003), “Economic Development as Self Discovery,” Journal of Development Economics, Vol.72, Issue 2, pages 603-33, December (also NBER Working Paper No. 8952).
8. Lall S., 1992, "Technological Capabilities and Industrialization", World Development, Vol.20 No.2
9. Lundvall B‐Å. (2007) “National Innovation Systems—Analytical Concept and Development Tool”, Industry and Innovation, 14:1, 95-119, DOI: 10.1080/13662710601130863
10. Maffioli A., Pietrobelli C. and Stucchi R., 2016, The Impact Evaluation of Cluster Development Programs, Washington D.C.: Inter-American Development Bank, http://dx.doi.org/10.18235/0000335 Chapter 1.
11. McMillan, M., Rodrik, D., Verduzco-Gallo, I., 2014, “Globalization, Structural Change, and Productivity Growth, with an Update on Africa”. World Development 63: 11-32, doi: 10.1016/j.worlddev.2013.10.012
12. Nelson R.R., 2008, “Economic Development from the Perspective of Evolutionary Theory”, Oxford Development Studies Vo.36 No.1 March, pp.9-22
13. Pietrobelli, C. & Staritz, C., 2017, “Upgrading, Interactive Learning, and Innovation Systems in Value Chain Interventions”, European Journal of Development Research, https://doi.org/10.1057/s41287-017-0112-5

Additional (Optional) Readings
 Chatterji A., Glaeser E.L., Kerr W.K., 2013, “Clusters of Entrepreneurship and Innovation”, NBER Working Paper 19013 http://www.nber.org/papers/w19013
 EIU, “Innovation Clusters: Understanding life cycles”, The Economist Intelligence Unit, London http://destinationinnovation.economist.com/category/cluster-effects/
 Fernández-Arias E., Sabel C., Stein E., Trejos A., 2017, “Two to Tango: Public-Private Collaboration for Productive Development Policies”, IDB Working Paper IDB-WP-855, Washington D.C.: The Inter-American Development Bank. https://publications.iadb.org/handle/11319/8697
 Fu X., Pietrobelli C., Soete L., 2011, “The Role of Foreign Technology and Indigenous Innovation in the Emerging Economies: Technological Change and Catching-up”, World Development Vol. 39, No. 7, pp. 1204–1212
 Hausmann R. and Rodrik D. (2006) “Doomed to Choose: Industrial Policy as a Predicament”, Harvard Kennedy School Working Paper. http://www.hks.harvard.edu/index.php/content/download/69495/1250790/version/1/file/hausmann_doomed_0609.pdf
 Humphrey J. and Schmitz H. (2002) “How does insertion in global value chains affect upgrading industrial clusters?”, Regional Studies, Vol. 36, No.9.
 Lall S. and Pietrobelli C., 2005, “National Technology Systems in Sub-Saharan Africa”, International Journal of Technology and Globalization, KSG, Harvard, Vol.1 No.3-4, 2005.
 Lin J. and Chang H.J., 2009, “Should Industrial Policy in Developing Countries Conform to Comparative Advantage or Defy it? A Debate Between Justin Lin and Ha-Joon Chang”, Development Policy Review, 2009, 27 (5): 483-502
 Pietrobelli C., 1997, ‘On the Theory of Technological Capabilities and Developing Countries’ Dynamic Comparative Advantage in Manufactures’, Rivista Internazionale di Scienze Economiche e Commerciali, Vol.XLIV, No. 2, June.
 Podcast on Structural Change, Interview to Dani Rodrik, IMF Podcast, http://www.imf.org/external/pubs/ft/survey/so/2013/INT062813A.htm
 Rodrik D., 2013, “Unconditional Convergence in Manufacturing”, Quarterly Journal of Economics, pp.165-204, doi:10.1093/qje/qjs047
 Schmitz H. and Nadvi K., (1999). "Clustering and Industrialization: Introduction”, World Development, Vol. 27, No.9., pp. 1503-14.
 Szirmai A., 2011, “Manufacturing and Economic Development”, UNU-WIDER Working Paper No. 2011/75, November, https://www.wider.unu.edu/publication/manufacturing-and-economic-development

ntroduction.
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: comparison structure if, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.

- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.

- Civil liability rules and corporate civil liability
- Subjective responsibility, strict liability and assurance
- Common law e civil law
- Law and economics
- Corporate criminal responsibility and organizational models ex d. lgs. n. 231/2001
- Ue regulation about safety products and liability for defective products
- Case studies

AA.VV., Manuale di diritto dei consumi, a cura di L. Rossi Carleo, Giappichelli, Torino, 2015, with exclusive reference to the following parts: Parte I (pp. 3-32); Parte III, Capitolo Secondo: La sicurezza dei prodotti: profili evolutivi e aspetti sostanziali (pp. 203-218); Parte IV, Capitolo Secondo, Sezione Quarta: La sicurezza dei prodotti: profili applicativi (pp. 247-252); Parte IV, Capitolo Terzo, Sezione Terza: La responsabilità per danno da prodotti difettosi (pp. 283-306). Supplementary and up-to-date information and materials will be available to students on the website of the course.

ntroduction.
Elements of Matlab.
Arithmetic operators: Logical and relational operators
Variables: assignment of variables, local and global variables.
Vectors: how to create a vector, row and column vectors, operations with vectors and access to the elements of a vector.
Matrices: how to create a matrix, square and rectangular matrices, identity and diagonal matrices, operations with matrices and access to the elements of a matrix.
Polynomials and solutions of linear systems.
Flow controls and conditional statements: comparison structure if, switch comparison structure. For and while loops.
Programming elements: scripts and functions, how to write and execute a function, how to write scripts.
Introduction to the use of 1-D charts.
Import data from files and file management. Import data from Excel sheets and .csv files
Principles of discrete sequence analysis. Sequence operations, convolutions and discrete linear correlations, correlograms.
Principles of descriptive statistics: characteristic parameters, parameter estimates, historical series and discrete series, histograms.
Statistical applications: time series, averaging, volatility and higher order moments. Graph of historical time series and statistical analysis through moments, histograms and normal fitting.

- MATLAB® / R Reference, by David Hiebeler (June, 2014).
- Econometrics and Economics in Matlab.
- "An Introduction to Matlab for Econometrics", by J. C. Frain, TEP Working Paper No. 0110, February 2010.