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- W4200551445 abstract "When studying the consistency of an estimator without a closed-form solution for a spatial econometric model, we usually assume that the parameter space is compact. However, compactness assumptions are restrictive as we need to know the boundaries of parameter spaces. We establish a consistency theorem for concave objective functions. We apply this result to rebuild the consistency of the quasi maximum likelihood estimator (QMLE) of a spatial autoregressive (SAR) model and a SAR Tobit model. Their log-likelihood functions are not concave, but they can be concave after proper reparameterization as in Olsen (1978)." @default.
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- W4200551445 date "2022-01-01" @default.
- W4200551445 modified "2023-10-16" @default.
- W4200551445 title "Consistency without compactness of the parameter space in spatial econometrics" @default.
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- W4200551445 doi "https://doi.org/10.1016/j.econlet.2021.110224" @default.
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