Refined GMM estimators for simultaneous equations models with network interactions

被引:0
|
作者
Peter H. Egger
Ingmar R. Prucha
机构
[1] ETH Zurich,Department of Economics
[2] University of Maryland,undefined
来源
Empirical Economics | 2023年 / 64卷
关键词
Cliff-Ord spatial model; Two-stage least squares estimation; Three-stage least squares estimation; Generalized method of moments estimation; C21; C31; C36;
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摘要
The paper proposes a refinement of the generalized spatial two-stage and three-stage least squares estimators for simultaneous systems of equations with network interdependence, recently introduced in Drukker (Econom Theory 1-48, 2022). Specifically, we propose a refined weighting of the moment conditions underlying those estimators. Monte Carlo simulations document that the refined weighting potentially achieves non-trivial reductions in the root mean-squared errors for the network parameters of interest.
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页码:2535 / 2542
页数:7
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