Scuole 2015

 

Workshop on Panel Data Analysis
Instructor: Adalbert Wilhelm (Jacobs University Bremen)
e-mail: a.wilhelm@jacobs-university.de

Wed June 3: (10 am ­ 1 pm)
Wed June 10:  (10 am ­ 1 pm)
Fri June 12:  (10 am ­ 12 am)

Location: Computer Room (Biblioteca di Scienze Economiche)
Viale S. Ignazio 84, Cagliari

Course description:
The last decade has seen a dramatic increase in the use of panel
(longitudinal) data in all social
sciences. The availability of large scale longitudinal studies in all social
science disciplines has
instilled a parallel growth in the development of estimation techniques
applicable to these data.
The aim of this course is to prepare a solid ground for empirical research
using advanced econometric
techniques for analyzing panel data sets. The course will be equally
balanced between lectures and
hands-on computer labs handling empirical applications using R.

Learning outcomes:
– Gaining an understanding of econometric issues involved in the analysis of
panel data
– Knowledge and experience in conducting panel data analyses
– Numeracy and IT skills in doing panel data analysis in R
– Critical insight to appraise other researchers’ results using panel data
– Gaining theoretical knowledge about statistical properties of panel data
estimators

Main text
– Badi H. Baltagi (2013). Econometric Analysis of Panel Data. 5th edition.
Wiley, ISBN 978-1-118-
67232-7.

Additional Texts:
– William S. Venables, David M. Smith and the R Development Core Team
(2009): An Introduction
to R. Network Theory Ltd., ISBN 10: 0-9546120-8-6, (VS)
– Brian S. Everitt and Thorsten Hothorn (2009): A Handbook of Statistical
Analysis Using R. Second
edition. CRC Press. ISBN: 978-1-42007933-6, (EH)
– Judith D. Singer and John B. Willett. Applied Longitudinal Data Analysis.
Oxford University
Press, Oxford New York, 2003.
– Robert Yaee. A Primer for Panel Data Analysis. Connect, 2003.

Schedule:
Sessions 1 & 2 Linear static panel data models – One-way error component
models
Sessions 3 & 4 Linear static panel data models – Two-way error component
models
Sessions 5 & 6 Dynamic panel data models
Sessions 7 & 8 Tree-models for panel data

 

Prof. Alessio Moro presents  the Summer School in Computational Economics, Cagliari 2015

http://www.summer-school-computational-economics-2015.it/

 

The Training School on Spatial Econometrics organized by the COST Action IS1104 The EU in the new economic complex geography: models, tools and policy evaluation” (GECOMPLEXITY) will take place in Vienna at the Vienna University of Economics and BA, during the period 9-11 February 2015. If you are interested, please send your application, including a CV and a research proposal to Roberto Basile via E-mail
(roberto.basile@unina2.it) by Dec 31, 2014.

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