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
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