Dottorato in Economia, Statistica e Sostenibilità (XXX Ciclo) January

Dottorato in Economia, Statistica e Sostenibilità (XXX Ciclo)
Classes and Activity Program (a.y. 2014-2105)
January
January week 19-23: Statistics and R Laboratory (Prof. D’Agostino)
Prerequisites: Data collection. Chart and tables. Data description. Probability. Random variables.
Probability distributions. Sampling distributions.
1) WONNACOTT T.H. and WONNACOTT R.J., Introductory Statistics For Business And
Economics, Wiley, 4o edition.
Course Outline: Inference (point estimation, confidence intervals, statistical hypothesis testing). Maximum
likelihood estimation methods. Introduction to R. Elementary R programming, Data visualization in R,
Manipulate and process data in R.
1) Inferenza statistica, A. Azzalini, Springer 2001
2) Suggested readings will be noted during classes
3) R slides and scripts will be provide during classes
January week 26-30: Advanced Linear Algebra (Prof.ssa Corsaro and Prof. De
Angelis)
Prerequisites: Basic Calculus: Real function of one or several variables. Matrix Algebra: Basic operation;
Main operations - Determinant. Square matrices: Main types - Diagonal and Triangular matrices, Identity
matrix, Symmetric or Skew-symmetric matrix.
1) P.L. De Angelis, Matematica di base - Volume unico, Ed. Giappichelli.
2) Course notes.
Course Outline: Finite precision arithmetic. Linear algebra: Linear equations, Gaussian elimination,
stability and pivoting, condition number; Invertible matrix and its inverse; Definite matrix; Orthogonal
matrix. Eigenvalues and Eigenvectors. Rank. Computational aspects. Least square approximation.
Decomposition: LU and Cholesky factorization, Eigendecomposition, QR factorization. Mathematical
programming. Applications with MATLAB and EXCEL.
1) G.H. Golub, C.F. Van Loan, Matrix Computations, Johns Hopkins Press, 1996.
2) Y. Saad, Iterative methods for sparse linear systems, SIAM, 2003.
3) Course notes.
February
February week 2-6: Macroeconomic theory (Prof. Busato) – (support e-learning)
Prerequisites: Growth Theory (Solow, AK, Ramsey); Real Business Cycle theory; Consumption Models
1) Romer R., 2006, Advanced Macroeconomics, Ch.1, Ch. 3, Ch. 4, Ch. 7
Course Outline: Illustrate the ability of dynamic general equilibrium models to explain a wide range of
macroeconomic phenomena. The course covers deterministic and stochastic dynamic optimization using
dynamic programming analysis, and presents several dynamic decentralization schemes. Finally the course
goes over several applications of recursive methods, with particular attention to real business cycle models,
asset pricing, sunspot equilibria and indeterminacy.
1) Nancy L., and Robert E. Lucas, Jr., with Edward C. Prescott. (SLP) Recursive Methods in Economic
Dynamics. Cambridge, MA: Harvard University Press, 1989;
2) Lars Ljungqvist and Thomas J. Sargent (LS), Recursive Macroeconomic Theory, , MIT Press, 2002.
3) Suggested readings will be noted during classes
February week 9-13: Study and Exam Week
Exam: Statistics and R Laboratory (Prof. D’Agostino)
February week 16-21 Microeconomic Theory (Prof. Aldieri)
Prerequisites: Single variable optimization: first-order and second-order conditions. Multivariate
maximization: first-order and second-order conditions. Constrained maximization with equality constraints,
inequality constraints and positivity constraints. Envelope theorem.
1) Chiang A. C., Introduzione all’Economia Matematica, 1993, Bollati Boringhieri.
Course outline: consumer preferences. Indirect utility. Some important identities. The Slutsky equation.
Properties of demand functions. Comparative statics using the first-order conditions. Consumers’ surplus.
Profit maximization. Profit function. Cost minimization. Cost function. Perfect competition. Oligopoly
competition: The Cournot, The Bertrand, The Stackelberg Models. Collusion. Price Wars. Strategic
Behavior: entry deterrence and Predation (Kréps and Wilson, Milgrom and Roberts Models). Economics of
Innovation: Market Structure and Incentives for R&D. The Dynamics of R&D competition. Patents.
1) Mas-Colell A., M. D. Whinston and J. R. Green, Microeconomic Theory, 1995, Oxford University
Press.
2) Pepall L., D. J. Richards e G. Norman, Organizzazione industriale, 2013, McGraw Hill.
February week 23-28: Applied Econometrics: An Introduction to Spatial
Econometrics (Prof. Agovino)
Prerequisites: Simple regression analysis, Properties of the regression coefficients and hypothesis testing,
Multiple regression analysis, Transformations of variables, Dummy variables, Heteroscedasticity.
Texts
1) M. Verbeek, Modern Econometrics, (3rd edition), Wiley (2008)
2) W.H. Greene, Econometric Analysis, (7th edition), Pearson Prentice Hall (2011)
Course Outline: Fundamentals of spatial econometrics. Spatial data nature. Spatial autocorrelation. Spatial
weight matrix. Specification of spatial dependence models. Basic spatial model. Spatial lag model (SAR).
Spatial error model (SEM). Spatial Durbin model (SDM). Specification strategies.
Texts
1) L. Anselin, Spatial econometrics: Methods and models, Kluwer Academic Publishers (1988)
2) J. P. Lesage and R. K. Pace, Introduction to Spatial Econometrics, Boca Raton, Taylor & Francis
(2009)
.
March
March week 2-6: Time-series Analysis (Prof. De Luca; Prof. G. Rivieccio)
Prerequisites: ARMA models for stationary time-series. Box-Jenkins procedure. ARIMA models for nonstationary time-series.
1) Di Fonzo, T. and Lisi F. Serie Storiche Economiche. Carocci Editore, 2006.
Course Outline: Conditional Heteroskedasticity: univariate GARCH-type and Stochastic Volatility models.
The realized volatility and the Multiplicative Error Model. Multivariate GARCH models. Non-linearity:
regime-switching models. Application in R.
1) Tsay R.S., Analysis of Financial time series. 3rd edition, Wiley, 2010.
2) Franses P.H., van Dijk D., Opschoor A., Time series models for business and economic forecasting,
Cambridge University Press, 2014
March week 9-13: Study, Exam(s) and Seminar(s) week.
Seminar: Riccardo Vecchio, Experimental Auctions: theory and applications in consumer studies
Exam: Advanced Linear Algebra (Prof.ssa Corsaro and Prof. De Angelis)
March week 16-20; Study, Exam(s) and Seminar(s) week.
Seminar: Prof. Punzo, TBA
Exam: Macroeconomic theory (Prof. Busato)
March week 23-27; Study, Exam(s) and Seminar(s) week.
Seminar: Tiziana De Magistris part 1
-
Tiziana De Magistris , 23th March 2015 10 a.m. - 12: 30 p.m. - Seminar titled “Choice experiment
methods: step by step to running an hypothetical and Real Choice Experiment”: Introduction
Tiziana De Magistris, Tuesday 24th March 2015 10 a.m -12: 30 pm. – Seminar titled “Real Choice
Experiment: Experimental Design”
Exam: Microeconomic Theory (Prof. Aldieri)
April
April week 30.3-1.4; Study, and Seminar(s) week.
Seminar: Tiziana De Magistris, part 2
-
Tiziana De Magistris, Monday 30th March 10 a.m -12: 30 pm. – Seminar titled “Real Choice
Experiment: Experimental Procedure”
Tiziana De Magistris, Tuesday 31th March: -10 a.m -12: 30 pm. – Seminar titled “Real Choice
Experiment: Model Specification”
Tiziana De Magistris , Wednesday 1 th April: 10 a.m -12: 30 p.m. - - round table with p.h.D
students and their presentations of RCE project
April, week 8-10; Sampling for social surveys; (Prof. V. Verma)
Prerequisites: Advanced Statistics and R Laboratory course and basic sampling methods.
1) Verma, V. (1991). Sampling Methods. Training Handbook, Statistical Institute for Asia and the
Pacific, SIAP, Tokyo.
Course Outline: Sampling for a typical population-based surveys (Sample structure, sample selection,
weighting and estimation). Elusive populations (rare populations, mobile population, reclusive populations),
Sampling overtime (objectives and designs, rotational panels)
1) Verma V. (2008) Sampling for household-based surveys of child labour. Geneve: ILO
2) Verma V. (2013) Sampling elusive populations: applications to studies of child labour. Geneve: ILO
April week 13-17; Study, Exam(s) and Seminar(s) week.
Seminar: Norma Maccari, Canadian oil sand extraction: the nexus between economic development
and environmental sustainability (with Francesco Busato)
Exam: Applied Econometrics (Prof. Agovino);
April week 20-24; Study, Exam(s) and Seminar(s) week.
Seminar: Prof. G. Scandurra, Title: TBA
Exam: Time-series Analysis (Prof. De Luca; Prof. G. Rivieccio)
April week 27-30; Study, Exam(s) and Seminar(s) week.
Exam: Sampling for social surveys; (Prof. V. Verma)
May
May week 4-8: Advanced modeling in statistics (Prof. Regoli)
Prerequisites: Linear regression model, Interpretation and comparison of regression models, Properties of
the regression coefficients and hypothesis testing, Endogeneity, Instrumental Variables.
1) M. Verbeek, Modern Econometrics, (3rd edition), Wiley (2008)
2) W.H. Greene, Econometric Analysis, (7th edition), Pearson Prentice Hall (2011)
Course Outline: Panel data. Advantages and limitations of panel data. Modeling the level of a variable:
random effects methods; fixed effects methods; first differencing methods. Comparison of estimators.
1) Wooldridge J.M. Econometric Analysis of Cross-Section and Panel Data, MIT Press (2002)
2) Baltagi B.H. Econometric Analysis of Panel Data, John Wiley (2008)
3) Hans-Jürgen Andreß, Katrin Golsch and Alexander W. Schmidt. Applied Panel Data Analysis for
Economic and Social Surveys. Springer, (2013).
May week 11-16 : Study, Exam(s) and Seminar(s) week.
Exam: Advanced modeling in statistics (Prof. Regoli)
Seminar: TBA
May week 18-23: Composite Indicators Methodology (Prof. Castellano; Prof. E.
Rocca)
Prerequisites: Advanced Statistics
1) WONNACOTT T.H. and WONNACOTT R.J., Introductory Statistics For Business and Economics,
Wiley, 4a ed.
2) BERRY D.A. and LINGREN B.W., Statistics (Theory and Methods), Brooks/Cole
Course Outline: The course discusses the definition and the methodology of composite indicators. Selecting
variables, multivariate analysis, normalization of data, weighting and aggregation, robustness and sensitivity
1) OECD (2008a), Handbook on Constructing Composite Indicators. Methodology and user Guide,
OECD Publishing, Paris
2) Saisana, M., Saltelli, A. & and Tarantola, S. (2005) Uncertainty and sensitivity analysis
techniques as tools for the quality assessment of composite indicators, J.R. Statist. Soc., Vol.
168, Part 2, pp. 307-323.
3) Castellano, R. & and Rocca, A. (2014), Gender Gap and Labour Market Participation: a
Composite Indicator for the Ranking of European Countries, International Journal of Manpower,
vol. 35, Issue 3, pp.345-367.
May week 25-29 : Sustainability, Welfare and Food system (Prof.ssa Debora Scarpato)
Prerequisites: reviews the notions of The course discusses the notion of Sustainability and Welfare from a
theoretical perspective, with attention to global and local issues.
1) SCARPATO D, PAGLIUCA M (2010). Una rassegna sulla sostenibilità dello sviluppo. Approcci
definitori e logico-concettuali ed indicatori delle principali Organizzazioni internazionali.
RASSEGNA ECONOMICA, vol. 19, p. 5-36, ISSN: 0390-010X
2) SCARPATO D (2010). La dimensione territoriale dello sviluppo tra competitività e sostenibilità. In:
Politiche integrate per uno sviluppo competitivo sostenibile dell'agroalimentare. p. 19-29,
MILANO:Franco Angeli, ISBN: 978-88-568-3209-9
Course Outline: The course discusses the notion of Sustainability and Welfare from a theoretical
perspective, with attention to global and local issues. The final sections deals with the relationships between
food system and sustainability
1) Scarpato D (2013). La misurazione della sostenibilità: alcune esperienze internazionali, Rivista Di
Studi Sulla Sostenibilità, ISSN: 2239-1959
2) Mismeasuring Our Lives: Why GDP Doesn't Add Up, Commission on the Measurement of
Economic Performance and Social Progress (France), Joseph E. Stiglitz, Amartya Sen, Jean-Paul
FitoussiNew Press, 2010
3) AMARTYA SEN, The Ends and Means of Sustainability, Journal of Human Development and
Capabilities, 2013,Vol. 14, No. 1, 6–20, http://dx.doi.org/10.1080/19452829.2012.747492
4) Caroli M. (2006), Il marketing territoriale, Strategie per la competitività sostenibile del territorio,
FrancoAngeli, Milano (Cap. 1). Alessandro Vercelli, Simone Borghesi, La sostenibilità dello
sviluppo globale, Carocci, 2005 (Durante il corso saranno indicati i capitoli da approfondire).
5) SISTEMA AGROALIMENTARE E SOSTENIBILITÀ De Castro P. et al. (2011), The Politics of
Land and Food Scarcity, Taylor & Francis Group, London and new York (Durante il corso saranno
indicati i capitoli da approfondire).
June
June week 1 -5; Food system and sustainability (Azzurra Annunziata)
Prerequisites: economics and management of the agro-food system; trends and structural changes in the
agro-food system; Supply chains and regional systems;
Course Outline: Analysis of food demand; effects of asymmetric information on consumer food choices;
determinants of sustainable food consumption; food labeling and certification schemes for sustainability
1) Annunziata, Azzurra. "Il contributo dei modelli di consumo responsabili al perseguimento della
sostenibilità del benessere." RIVISTA DI STUDI SULLA SOSTENIBILITA' (2013).
2) Verain, Muriel CD, et al. "Segments of sustainable food consumers: a literature review."
International Journal of consumer studies 36.2 (2012)
3) Annunziata, A., & Scarpato, D. (2014). Factors affecting consumer attitudes towards food products
with sustainable attributes. Agricultural Economics 60(8), 353-363.
4) Reisch, L., Eberle, U., & Lorek, S. (2013). Sustainable food consumption: an overview of
contemporary issues and policies. Sustainability: Science, Practice, & Policy, 9(2), 7-25.
5) Vermeir, Iris, and Wim Verbeke. "Sustainable food consumption: Exploring the consumer “attitude–
behavioral intention” gap." Journal of Agricultural and Environmental Ethics 19.2 (2006): 169-194.
6) Grunert, Klaus G., Sophie Hieke, and Josephine Wills. "Sustainability labels on food products:
Consumer motivation, understanding and use." Food Policy 44 (2014)
June week 8 -12; advanced quantitative methods in finance (Prof.ssa Perla; Prof.ssa
Marino)
Prerequisites: Financial contracts. Market valuation. Interest rate term structure.
1) Castellani, G., De Felice, M., Moriconi, F., Manuale di finanza – I. Tassi di interesse. Mutui e
obbligazioni, Bologna, Il Mulino, 2005.
2) Hull, J., Options, Futures and Other Derivatives, Pearson/Prentice Hall, (9th ed.), 2014.
Course Outline: Evaluation models of term structure of interest rates and government bonds. Evaluation
models of financial derivatives. Credit risk and credit scoring modeling and valuation. Value at risk for
market risks. Computational issues.
1) Castellani, G., De Felice, M., Moriconi, F., Manuale di finanza – III. Modelli stocastici e contratti
derivati, Bologna, Il Mulino, 2006.
2) Hull, J., Options, Futures and Other Derivatives, Pearson/Prentice Hall, (9th ed.), 2014.
June week 15 -19; Study, Exam(s) and Seminar(s) week.
Exam: Composite Indicators Methodology (Prof. Castellano; Prof. E. Rocca);
Seminar: Prof. A. Rocca, Title TBA
June week 29 -3; TBA (Prof.ssa Silvana Bartoletto)
July
July week 6 -10; Study, Exam(s) week.
Exam Sustainability, Welfare and Food system (Prof.ssa Debora Scarpato)
Exam: Food system and sustainability (Azzurra Annunziata)
July week 13 -17; Study, Exam(s) week.
Exam: Advanced quantitative methods in finance (Prof.ssa Perla; Prof.ssa Marino)
Exam: Energy and economic growth (Prof.ssa Silvana Bartoletto)
July week 20 -24; Study, Exam(s) week.
Exam: Advanced quantitative methods in finance (Prof.ssa Perla; Prof.ssa Marino)
Exam: Energy and economic growth (Prof.ssa Silvana Bartoletto)