- Week I: 15th-19th May
Spatial Statistics (15 hours)
Instructor: Prof. G. Arbia, University “Cattolica del Sacro Cuore ” of Rome.
Point processes theory (complete spatial randomness, distance methods, k-functions), multivariate point processes, marked point processes, space-time point patterns. Random fields theory, conditional and simultaneous Gaussian fields, Markov random fields, non Markov random fields. Stationary processes on a continuous space: variogram and co-variogram, the spectral representation, spatial prediction and krieging. Sptail interaction models.
- Week II: 22nd-26th May
Spatial econometrics I (15 hours)
Instructor: Prof. Anil Bera, University of Illinois at Urbana-Champain.
Introduction to spatial econometric modelling.
- Week III: 29th May-2nd June
Spatial econometrics II (15 hours)
Instructor: Prof. Ingmar Prucha, University of Maryland, College Park, Maryland.
Elements of large sample theory, single equation Cliff-Ord type models and variations, illustrations, specification, weighting matrix and parameter space issues, estimation including MLE, GMM, GLS, GS2SLS, large sample results and corresponding inferences,. Efficient instruments and best GS2SLS, prediction, estimation in case of heteroskedastic innovations by MLE, GMM, GS2SLS, large and small sample results. Simultaneous equation Cliff-Ord type models, estimation theory for limited and full information estimators. Spatial HAC variance covariance matrix estimation. Testing for spatial dependence, classical Moran I test and extensions. Recent developments towards estimation theory for nonlinear models.
- Week IV: 5th-9th June
Panel data (15 hours of teaching)
Instructor: Prof. Badi H. Baltagi, Syracuse University, Syracuse, New York.
Panel data models: fixed effects and random effects. Temporal Heterogeneity. Spatial Seemingly Unrelated Regressions. Spatio-Temporal Models. Error Components with Space-Time Dependence. Specification of spatial panel models. Estimation of Spatial Panel Models: Maximum Likelihood Estimation, Instrumental Variables and GMM. Testing for spatial dependence in spatial panels.
Application forms should be sent to: firstname.lastname@example.org before March the 15th, 2017.
The number of participants admitted is from a minimum of 20 to a maximum of 30.
Candidates to the SEAI2017 will be selected according to their curriculum and their motivation. Notification of acceptance will be sent march the 31st, 2017.
Deadlines and timetable
March 15st, 2017 – Deadline for formal applications
March 15th, 2017 – Notification of acceptance
May 12th, 2017 – Deadline for payments
May 15th-June 9th, 2017 – Courses
Doctoral and Master students
Acceptance of students not attending the full course is conditional upon availability of places after all full-time students have been accepted. Fees include the subscription to the Spatial Econometrics Association, attendance to the courses and tutorship for the entire period, free access to the Mensa of the university, but exclude other living expenses and accommodation (for more information go to: location)
Deadlines and timetable
The “Spatial Econometrics Advanced Institute” is hosted by the Faculty of Economics and by ALTEMS (Advanced School of Economics and Management of Health Systems) of the Catholic University of Rome; Via Francesco Vito, 1, Rome (Italy) .
Living in Rome: beeing near to San Peter and the city center you will have plenty of chances to take some time off and enjoy yourself. Additionally, the Institute organizes social dinners and social events.
The school does its best in assisting students to find a cheap accommodation. We strongly suggest the participants to share an apartment for rent. Special agreements are in place with Flatinrome.it, allowing participant to rent apartments at discounted rates very near to the university (click here, or send an email to email@example.com).
A hotel accommodation can be provided at a corporate rate at the Hotel Excel a brand new 4 stars hotel, modern and provided of all comforts located only a few steps in walking distance outside the campus of the Catholic University
For more information click "Further official information" below.
This opportunity has expired. It was originally published here: