Abstract
This paper investigates the identification and estimation of spatial dynamic panel simultaneous equations models with simultaneous effects, spatial effects, and time lagged effects. The model in this paper explicitly models interactions among different economic variables with simultaneous effects. Spatial interactions are presented by spatial weight matrices and, in addition to dynamics in space and time, we allow both individual and time fixed effects. For estimation, we study asymptotic properties of quasi-maximum likelihood estimators with large spatial units n and time periods T and IV-based estimators with large or small T. Finite sample properties of these estimators are studied using Monte Carlo experiments.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
