SEMINARI di ECONOMIA 18 febbraio 2016 – Gianmarco Daniele presenta Strike one to educate one hundred: organized crime, political selection and politicians’ ability

Feb 172016
 

Gianmarco Daniele (Universitat de Barcelona) presenta “Strike one to educate one hundred: organized crime, political selection and politicians’ ability“.

L’appuntamento è il 18 febbraio 2016, ore 12:20, nell’ aula Arcari della Facoltà di Scienze Economiche Giuridiche e Sociali, via Sant’Ignazio 86.

Qui la locandina con l’abstract del lavoro.

Locandina

 Posted by on 17 Febbraio 2016  home  Commenti disabilitati su SEMINARI di ECONOMIA 18 febbraio 2016 – Gianmarco Daniele presenta Strike one to educate one hundred: organized crime, political selection and politicians’ ability

Applied Economics methods

Feb 102016
 

Course: Applied Economics Methods

Syllabus of the course

Starting day: 21 Mar 2016

Instructors: Prof. Gianfranco Atzeni, Prof. Silvia Balia, Prof. Rinaldo Brau, Prof. Manuela Pulina, Prof. Giovanni Sulis

Contacts: atzeni@uniss.it; silvia.balia@unica.it; brau@unica.it; mpulina@uniss.it, gsulis@unica.it

Module 1: Identification and estimation methods for structural equation models, Prof. Silvia Balia and Rinaldo Brau.

Lecture 1: Identification issues in triangular and fully simultaneous equation systems,         Rinaldo Brau, 21 Mar 2016, h. 14:30 – 17:00

Reading:

  • Lecture handouts (to be uploaded in a private dropbox space)
  • Rigobon Roberto, “Identification Through Heteroskedasticity.” Review of Economics and Statistics, 2003, vol. 85, issue 4.
  • Joshua D. Angrist and Alan B. Krueger, Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments, Journal of Economic Perspectives—Volume 15, Number 4—Fall 2001—Pages 69–85

Lecture 2: Identification through heteroscedasticity and control function approaches,               Rinaldo Brau, 23 Mar.2016, h. 10:00 – 12:30

Reading:

  • Lewbel Arthur, “Using Heteroskedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models, Journal of Business & Economic Statistics, Volume 30, Issue 1, pages 67-80.
  • Klein, R. and Vella, F. 2010. “Estimating a Class of Triangular Simultaneous Equations Models without Exclusion Restrictions,” 154–164. Journal of Econometrics 154
  • Farré, Lídia, Roger Klein, and Francis Vella (2013) “A parametric control function approach to estimating the returns to schooling in the absence of exclusion restrictions: an application to the NLSY”, Empirical Economics, 43 (1), 2013.

Lecture 3: Simulation-based maximum likelihood for categorical data: application to multiple equations models, Silvia Balia, 30 Mar.2016, h. 14:00 – 17:00

Reading:

  • Lecture handouts (to be uploaded in a private dropbox space)
  • Chapter 5 in Andrew M. Jones, Nigel Rice, Teresa Bago d’Uva, Silvia Balia (2012). Applied Health Economics, 2nd Edition, Routledge.
  • Chapter 12 (12.4.2, 12.6.1) Panel Data Methods and Applications to Health Economics in The Palgrave Handbook of Applied Econometrics (2009) edited by Terence Mills and Kerry Patterson.

Lecture 4: Unobservable heterogeneity and finite mixture models in non-linear models: applications to multiple equations models using latent classes and discrete factor models, Silvia Balia, 31 Mar.2016, h. 14:00 – 17:00

Reading:

  • Lecture handouts (to be uploaded in a private dropbox space)
  • Chapter 18 (18.1-18.5) in Colin Cameron and Pravin Trivedi (2005) Microeconometrics Cambridge University Press, New York
  • Chapter 14 (14.1, 14.2, 14.3.1, 14.3.2, 14.3.3) Microeconometrics: Current Methods and Some Recent Developments in The Palgrave Handbook of Applied Econometrics (2009) edited by Terence Mills and Kerry Patterson.
  • Balia S, Brau R (2014). A country for old men? Long-term home care utilization in Europe. Health Economics, vol. 23, p. 1185-1212
     

Module 2: Limited dependent variable models, Prof. Gianfranco Atzeni.

Lecture 5: Censored and truncated regression models, Sassari 4 Apr 2016, h. 15:00 – 17:00

Readings:

  • Greene ch 19 – Limited Dependent Variables, truncation and sample selection available to download at: http://people.stern.nyu.edu/wgreene/Lugano2013/Greene-Chapter-19.pdf

Lecture 6: Two stage estimation models, Sassari 5 Apr 2016, h. 10:00 – 12:00

Readings:

Lecture 7: Self-selection models, Sassari 6 Apr 2016, h. 15:00 – 17:00

Readings:

  • Li and Prabhala, Self-Selection Models in Corporate Finance

Module 3: Equilibrium search models and wage differentials, Prof. Giovanni Sulis.

Lecture 8: Basic Search Model and Gender Differentials, 14 Apr 2016, h. 14:00 – 17:00

Readings:

 

Lecture 9: Equilibrium Search Models and Structural Estimation, 15 Apr 2016, h. 09:00 – 12:00

Readings:

  • Mortensen, Dale (2003) Why Are Similar Workers Paid Differently? MIT Press.
  • Burdett, K. and Mortensen, D. (1998), “Wage Differentials, Employer Size, and Unemployment,” International Economic Review, 39 (2), 257-73;
  • Sulis, G. (2012), “Gender Wage Differentials in Italy: A Structural Estimation Approach,” Journal of Population Economics, Springer, vol. 25(1), pages 53-87, January;
  • Sulis, G. (2011), “What Can Monopsony Explain of the Gender Wage Differential in Italy?” International Journal of Manpower, 32 (4), 446-470.

 

Module 4: Mixed methods in applied economics, Prof. Manuela Pulina.

Lecture 10: Survey methodology and Factor analysis (SPSS simulations) 26 Apr 2016, h. 15:00 – 18:00

Readings:

  • An Gie Yong and Sean Pearce 2013. A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79-94. http://www.tqmp.org/RegularArticles/vol09-2/p079/p079.pdf

Lectures handouts (Slides)

Lecture 11: Mixed methods analysis (STATA simulations), 27 Apr 2016, h. 15:00-18:00

Readings:

  • Greene, W. (2013) Binary Choice – Nonlinear Modeling. In Empirical Methods for Microeconomic Applications.

Lectures handouts (Slides)

Course Material

There is no textbook for this course. See the reading lists above.

Course Assessment

The introductory lectures by prof. Brau will not be part of the exam.

The grading will be based on two parts:

  • an essay dealing with topics treated in one of the four modules
  • a written exam where students are supposed to answer to two questions related to the other three modules
 Posted by on 10 Febbraio 2016  Senza categoria  Commenti disabilitati su Applied Economics methods

Advanced Macroeconomics

Feb 102016
 

Syllabus of the course

Starting day: 10 Mar 2016

Instructors: Prof. Fabio Cerina, Prof. Miguel Leon-Ledesma, Prof. Alessio Moro

Contacts: amoro@unica.it; fcerina@unica.it; M.A.Leon-Ledesma@kent.ac.uk>

 

Module 1: Models of Structural Change, Prof. Alessio Moro.

Lecture 1: Facts of structural transformation and benchmark model of structural transformation, 12 Mar 2016, h. 10:30 – 12:30

Reading:

  • Berthold Herrendorf, Richard Rogerson, Ákos Valentinyi, 2014. Chapter 6 – Growth and Structural Transformation, Volume 2, Handbook of Economic Growth.

Lecture 2: Economic forces behind structural transformation, 10 Mar 2016, h. 12:30 – 14:00

Readings:

  • Kongsamut, Piyabha, Rebelo, Sergio, Xie, Danyang, 2001. Beyond balanced growth. Review of Economic Studies 68, 869–882.
  • Ngai, L. Rachel, Pissarides, Chrisopher A., 2007. Structural change in a multisector model of growth. American Economic Review 97, 429–443.
  • Berthold Herrendorf, Richard Rogerson, Ákos Valentiny. 2013. Two Perspectives on Preferences and Structural Transformation. American Economic Review, 103, 2752-2789.

 

Lecture 3: Structural transformation, growth and volatility, 17 Mar 2016, h. 10:30 – 12:30

Readings:

  • Echevarria,Cristina, 1997. Changes in sectoral composition associated with economic growth. International Economic Review 38, 431–452.
  • Koren, Miklos, and Silvana Tenreyro. 2007. Volatility and Development, Quarterly Journal of Economics 122 (1): 243-287.
  • Moro, Alessio, 2012. The Structural Transformation Between Manufacturing and Services and the Decline in the US GDP Volatility, Review of Economic Dynamics 12 (3), 402-415.
  • Carvalho, Vasco, Gabaix, Xavier, 2013. The great diversification and its undoing, American Economic Review 103(5): 1697-1727.
  • Moro, Alessio, 2015. Structural Change, Growth and Volatility, forthcoming in American Economic Journal: Macroeconomics.

 

Lecture 4: Home production and Structural Transformation, 17 Mar 2016, h. 12:30 – 14:00

Readings:

  • Ngai, L. Rachel, Pissarides, Chrisopher A., 2008. Trends in Hours and Economic Growth. Review of Economic Dynamics, 11, 239-256.
  • Ngai, L. Rachel, Petrongolo, Barbara., 2014. Gender Gaps and the Rise of the Service Economy. IZA DP8134. CEPR DP9970.
  • Moro, Alessio, Moslehi, Solmaz, Satoshi Tanaka, 2015. Does Home Production Drive Structural Transformation? Monash DISCUSSION PAPER 20/15

 

Module 2: Topics in international economics, Prof. Miguel Leon-Ledesma.

– Lecture 5: Intertemporal models of the current account, 12 Apr 2016, h. 10:00 – 13:00

 Reading:

  • Chapters 4.1.1 and 4.3 of León-Ledesma, M.A. and Mihailov, A. (forthcoming). Advanced International Macroeconomics and Finance. Oxford University Press. (I will be providing incomplete versions of the relevant chapters)
  • Obstfeld and Rogoff, Ch. 1, sections 1.1.1 to 1.1.6, 1.6. and 2.1
  • Chang, Y. and Smith, R.T. (2014) ‘Feldstein-Horioka Puzzles’, European Economic Review 72, 98-112.
  • Taylor, A.M., (2002) ‘A century of current account dynamics,’ Journal of International Money and Finance 21, 725-748.
  • Ghosh, Atish R. (1995), “International Capital Mobility Among the Major Industrialised Countries: Too Little or Too Much?” The Economic Journal 105, 107-128.

 

Lecture 6: Risk, uncertainty and asset markets, 13 Apr 2016, h. 10:00 – 13:00

Reading:

  • Chapters Ch. 5.1.1-5.1.7 and 5.3 of León-Ledesma, M.A. and Mihailov, A. (forthcoming). Advanced International Macroeconomics and Finance. Oxford University Press. (I will be providing incomplete versions of the relevant chapters)
  • Obstfeld-Rogoff (1996), Ch. 5.1.1-5.1.7 and 5.3.
  • Asdrubali, Pierfederico and Soyoung Kim (2008), “Incomplete Intertemporal Consumption Smoothing and Incomplete Risk Sharing,” Journal of Money, Credit and Banking 40, 1521-1531.
  • Pakko, M.R. (1998) ‘Characterizing international consumption correlations’ Review of Economics and Statistics 80, 169-174.
  • Becker, Sascha O. and Mathias Hoffmann (2006), “Intra- and International Risk Sharing in the Short Run and the Long Run,” European Economic Review 50, 777-806.

 

Lecture 7: International business cycles, 14 Apr 2016, h. 10:00 – 13:00

 Reading:

  • León-Ledesma and Mihailov (forthcoming) Chapter 7.3.
  • M and Gopinath, G. 2007, Emerging market business cycles: the cycle is the trend, Journal of Political Economy, 115 (1).
  • Backus, D. and G. Smith, 1993, Consumption and Real Exchange Rates in Dynamic Economies with Non-Traded Goods”, Journal of International Economics, 35, pp.297-316.
  • Baxter, M. and M. Crucini, 1995, Business cycles and the asset structure of foreign trade, International Economic Review, 36 (4), pp.821-854.
  • Corsetti, G. Dedola, L. and Leduc, C. 2008, International risk sharing and the
    transmission of productivity shocks, Review of Economic Studies, 75 (2).
  • Schmitt-Grohe, S. and M. Uribe, 2003, Closing small open economy models, Journal of International Economics, 61 (1), pp.163-181.
  • Stockman, A. and L. Tesar, 1995, Tastes and technology in a two-country model of the business cycle: explaining international comovements, American Economic Review, 85 (1), pp.168-185.

 

Module 3: Agglomeration, growth and trade Prof. Fabio Cerina.

Lecture 8: Models of growth and agglomeration, 20 April 2016, h. 11:00 – 13:00

 Readings:

 

Lecture 9: Agglomeration, aggregate growth and regional imbalances, 20 April 2016, h. 14:00 – 16:00

 Readings:

 

Lecture 10: ‘New’ new trade theory: firms’ heterogeneity, 21 May 2016, h. 11:00 – 13:00

 Readings:

 

Lecture 11: ‘New’ new economic geography: agglomeration and growth when firms are heterogenous, 21 April 2016, h. 14:00 – 16:00

Readings:

Course Material

There is no textbook for this course. See the reading lists above.

Assessment

The grading will be based on two parts:

  • an essay dealing with topics treated in one of the three modules
  • a written exam on the other two modules
 Posted by on 10 Febbraio 2016  Senza categoria  Commenti disabilitati su Advanced Macroeconomics
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