Locally most powerful tests for spatial interactions in the simultaneous SAR Tobit model

B-Tier
Journal: Regional Science and Urban Economics
Year: 2013
Volume: 43
Issue: 2
Pages: 307-321

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

The simultaneous SAR Tobit model is useful to analyze censored data in a spatial or social interaction setting. This paper focuses on three classical tests of spatial interactions in the simultaneous SAR Tobit model. We derive the asymptotic distributions of those three tests under the null and the local alternative hypotheses, establish their asymptotic equivalence and local efficiency, and study finite sample properties by the Monte Carlo simulation. The tests are applied to an empirical example on the presence of competition among school districts on school district income tax in Iowa.

Technical Details

RePEc Handle
repec:eee:regeco:v:43:y:2013:i:2:p:307-321
Journal Field
Urban
Author Count
2
Added to Database
2026-01-25