Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation

作者: Madina Kukenova , Jose-Antonio Monteiro

DOI: 10.2139/SSRN.1300871

关键词:

摘要: Since there is so far no estimator that allows to estimate a dynamic panel model includes spatial lag as well other potential endogenous variables. This paper wants determine if it suitable instrument the variable (which by de�finition endogenous/simultaneous) using instruments proposed system GMM, i.e. lagged values. The Monte Carlo investigation highlights possibility extended GMM Arellano and Bover (1995) Blundell (1998), especially when N T are large.

参考文章(54)
Bruce Aloysius Blonigen, Spacey Parents: Spatial Autoregressive Patterns in Inbound FDI Research Papers in Economics. ,(2005) , 10.3386/W11466
Peter C.B. Phillips, Hyungsik R. Moon, Nonstationary panel data analysis: an overview of some recent developments Econometric Reviews. ,vol. 19, pp. 263- 286 ,(2000) , 10.1080/07474930008800473
Lung-fei Lee, Jihai Yu, Some recent developments in spatial panel data models Regional Science and Urban Economics. ,vol. 40, pp. 255- 271 ,(2010) , 10.1016/J.REGSCIURBECO.2009.09.002
R P Haining, Estimating Spatial-Interaction Models Environment and Planning A. ,vol. 10, pp. 305- 320 ,(1978) , 10.1068/A100305
Andrew David Cliff, J. Keith Ord, Spatial Processes Models and Applications ,(1981)