Universidad de Salamanca
Facultad de Economia y Empresa
Campus Miguel Unamuno, Edificio FES
37007, Salamanca (Spain)
The exact location can be found in the following internet link:
https://goo.gl/maps/xqhu2zja8KC2
The Facultad de Economía y Empresa is located in the new campus of Universidad de Salamanca, just some minutes away from the bus station. The main entrance to the Course Venue is from ‘Paseo de Francisco Tomás y Valiente’.
![]() Universidad de Salamanca – New Campus |
![]() Facultad de Economía y Empresa – Main Entrance |
Colegio Cuenca:
https://www.resa.es/en/residences/salamanca/residence-hall-colegio-de-cuenca/residence/
This hall of residence is only a two minute walk from the venue.
Colegio Oviedo: https://colegiomayoroviedo.usal.es/
This hall of residence is only a two minute walk from the venue.
Colegio Mayor Arzobispo Fonseca: https://colegiofonseca.usal.es/
This hall of residence is just a ten minute walk from the venue.
Zenit Hall88: https://hall88.zenithoteles.com/en/
This hotel is only a three minute walk from the venue.
Hotel Abba Fonseca: https://www.abbafonsecahotel.com/en/home.html
This hotel is only a ten minute walk from the venue.
Before registering online, acceptance to the course will be confirmed by the course organizers. To this aim, please, send an email to Dr. Ignacio Requejo (E-mail: Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.) with the following information:
The information requested above should be sent, preferably, by June 15th. Acceptance to the course will be confirmed as soon as possible upon receipt of these details. To guarantee the quality of the course, only a maximum of 20 students will be accepted. The brief CV sent with your registration details will be the main acceptance criterion..
The registration fee for the course is EUR 240.
Special Price! Given that the 8th Course on “Advanced Dynamic Panel Data Methods” will take place the week after the 13th Course on “Data Management and Panel Data Models”, which is also organized by Universidad de Salamanca, there is a special price for those interested in attending both courses. For participants that attend both events, the total fee is EUR 490.
Summary of Fees |
|
14th Course on “Data Management and Panel Data Models” EUR 350 |
8th Course on “Advanced Dynamic Panel Data Methods” EUR 240 |
14th Course on “Data Management and Panel Data Models” & 8th Course on “Advanced Dynamic Panel Data Methods” EUR 490 (Save EUR 100!) |
For those accepted to the course, details on the method of payment will be provided upon notification of acceptance.
Sebastian Kripfganz is a Senior Lecturer in Econometrics at the University of Exeter Business School (United Kingdom). His publications include academic peer-reviewed articles on econometrics in the Journal of Applied Econometrics, the Oxford Bulletin of Economics and Statistics, Economics Letters, Econometrics and Statistics, and the Stata Journal. His research interests center around the estimation and inference in dynamic models, with a special focus on dynamic panel data analysis. Much of Sebastian's research is driven by the desire to provide guidance to applied researchers, and it is often accompanied by the implementation of econometric methods as flexible add-ons for the statistical software package Stata. He regularly presents his work at academic conferences, including a keynote presentation at the UK Stata Conference. Sebastian has multiple years of experience teaching econometrics, and he received several invitations to deliver short lectures on panel data methods. You can check Sebastian's profile on his personal webpage: https://www.kripfganz.de
All three days the lectures will start at 9.15 am and last until about 13.30 with one or two 15 minutes breaks. Apart from theory the lectures will also involve life computer demonstrations. The participants will be provided with the data and further instructions to practice themselves during the afternoon, and they can ask for personal feedback the next morning, or later by email.
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