Empirical Likelihood for Spatial Autoregressive Models with Spatial Autoregressive Disturbances
The empirical likelihood ratio statistics are constructed for the parameters in spatial autoregressive models with spatial autoregressive disturbances. It is shown that the limiting distributions of the empirical likelihood ratio statistics are chi-squared distributions, which are used to construct confidence regions for the parameters in the models.
Keywords and phrasesSpatial ARAR model Empirical likelihood Confidence region
AMS (2010) subject classificationPrimary 62G05 Secondary 62E20
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This work was partially supported by the National Natural Science Foundation of China (11671102), the Natural Science Foundation of Guangxi (2016GXNSFAA3800163, 2017GXNSFAA198349) and the Program on the High Level Innovation Team and Outstanding Scholars in Universities of Guangxi Province.
- Anselin, L. and Bera, A.K. (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics, Handbook of Applied Economics Statistics, ed. by Ullah A. and Giles, D. E A. Marcel Dekker, New York.Google Scholar
- Cliff, A.D. and Ord, J.K. (1973). Spatial Autocorrelation. Pion Ltd, London.Google Scholar
- Cressien, N. (1993). Statistics for Spatial Data. Wiley, New York.Google Scholar
- Jin, F. and Lee, L.F. (2019). GEL Estimation and tests of spatial autoregressive models. Journal of Econometrics, Forthcoming.Google Scholar