SPATIAL SEMIPARAMETRIC MODEL WITH ENDOGENOUS REGRESSORS
2014; Cambridge University Press; Volume: 32; Issue: 3 Linguagem: Inglês
10.1017/s0266466614000905
ISSN1469-4360
Autores Tópico(s)Fiscal Policy and Economic Growth
ResumoThis paper proposes a semiparametric generalized method of moments estimator (GMM) estimator for a partially parametric spatial model with endogenous spatially dependent regressors. The finite-dimensional estimator is shown to be consistent and root-n asymptotically normal under some reasonable conditions. A spatial heteroscedasticity and autocorrelation consistent covariance estimator is constructed for the GMM estimator. The leading application is nonlinear spatial autoregressions, which arise in a wide range of strategic interaction models. To derive the asymptotic properties of the estimator, the paper also establishes a stochastic equicontinuity criterion and functional central limit theorem for near-epoch dependent random fields.
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