Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration

A-Tier
Journal: Journal of Econometrics
Year: 2012
Volume: 167
Issue: 1
Pages: 16-37

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Yu et al. (2008) establish asymptotic properties of quasi-maximum likelihood estimators for a stable spatial dynamic panel model with fixed effects when both the number of individuals n and the number of time periods T are large. This paper investigates unstable cases where there are unit roots generated by temporal and spatial correlations. We focus on the spatial cointegration model where some eigenvalues of the data generating process are equal to 1 and the outcomes of spatial units are cointegrated as in a vector autoregressive system. The asymptotics of the QML estimators are developed by reparameterization, and bias correction for the estimators is proposed. We also consider the 2SLS and GMM estimations when T could be small.

Technical Details

RePEc Handle
repec:eee:econom:v:167:y:2012:i:1:p:16-37
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25