Description:
The objective of the course is to provide a (not so short) introduction to spatial econometrics. Students will learn how to model and incorporate spatial dependencies into their empirical analyses. The course will cover basic as well as more advanced concepts ranging from the different typologies of spatial data, through the definition of connectivity in space (spatial weights matrices), to a comprehensive treatment of various spatial econometric models, both cross-sectional as well as panel. Estimation methods presented will include MLE (maximum likelihood), GMM (generalized method of moments), GLS (generalized least squares), and GS2SLS (generalized spatial two-stage least squares). The latter part of the course will deal with special topics such as panel data models, and various testing procedures.
Instructor:
Gianfranco Piras, Associate Professor of Economics, The Catholic University of America, Washington, D.C.
Organization:
The courses are organized into a format that includes morning (theoretical) lectures and afternoon computing lab and applications sessions.
Material:
Suggested readings include: Kelejian H.H. and Piras G. (2017) “Spatial Econometrics, 1st Edition”, Academic Press. Additional readings will be provided during the course.
Applications:
Application Period Opens: January 8, 2018
Extended Application Deadline: April 23, 2018
Acceptance Notification: Two days after application received
Confirm Participation by April 27, 2018
Important Dates:
Applicants should submit a curriculum vitae and a brief statement of interest to: This email address is being protected from spambots. You need JavaScript enabled to view it.. Applicants will be screened for suitable levels of preparation and background, and placed into the course on a first-come, first-served basis.
Fees:
Course fees are $3,000. Fees cover course tuition, lunches and course material. Submitted fees will be non-refundable. Accommodation and other living expenses are not included. A block of rooms will be reserved at nearby hotels at a discounted rate.
Location:
The course will be hosted by West Virginia University’s Regional Research Institute located at 886 Chestnut Ridge Road, Morgantown, WV, United States 26506.
Course information can also be found at the RRI website at: http://rri.wvu.edu/.
A course flier is attached for distribution to others you know who might be interested.
West Virginia University is an Equal Opportunity/Affirmative Action Institution.
West Virginia University is governed by the West Virginia University Board of Governors and the West Virginia Higher Education Policy
Commission. E. Gordon Gee is the 24th president of West Virginia University