Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model

B-Tier
Journal: Regional Science and Urban Economics
Year: 2013
Volume: 43
Issue: 2
Pages: 250-271

Authors (2)

Han, Xiaoyi (not in RePEc) Lee, Lung-fei (Ohio State University)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

We consider using the J-test procedure for the non-nested model selection problem between the spatial autoregressive (SAR) model and the matrix exponential spatial specification (MESS) model. The 2SLS and GMM methods are used to implement the J-test procedure and derive several test statistics under the GMM framework. We investigate the behavior of those J-test statistics in terms of pseudo true values. We extend the J-test procedure into the setting when error terms in the model are with unknown heteroskedasticity. Monte Carlo results suggest with strong spatial dependence the J-test statistics can have good power to distinguish the SAR and MESS models.

Technical Details

RePEc Handle
repec:eee:regeco:v:43:y:2013:i:2:p:250-271
Journal Field
Urban
Author Count
2
Added to Database
2026-01-25