Estimation Of Unit Root Spatial Dynamic Panel Data Models
This paper examines the asymptotics of the QMLE for unit root dynamic panel data models with spatial effect and fixed effects. We consider a unit root dynamic panel data model with spatially correlated disturbances and a unit root spatial dynamic panel data model. For both models the estimate of the dynamic coefficient is null consistent and the estimates of other parameters are null consistent, and all of them are asymptotically normal. For the latter model the sum of the contemporaneous spatial effect and dynamic spatial effect converges at null rate. We also propose a bias-correction procedure so that the asymptotic biases of those estimates are eliminated as long as n/T 3 → 0.
Volume (Year): 26 (2010)
Issue (Month): 05 (October)
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