Wang, Luya and Li, Kunpeng and Wang, Zhengwei (2014): Quasi maximum likelihood estimation for simultaneous spatial autoregressive models.
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Abstract
This paper considers the problem of estimating a simultaneous spatial autoregressive model (SSAR). We propose using the quasi maximum likelihood method to estimate the model. The asymptotic properties of the maximum likelihood estimator including consistency and limiting distribution are investigated. We also run Monte Carlo simulations to examine the finite sample performance of the maximum likelihood estimator.
Item Type: | MPRA Paper |
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Original Title: | Quasi maximum likelihood estimation for simultaneous spatial autoregressive models |
Language: | English |
Keywords: | Simultaneous equations model, Spatial autoregressive model, Maximum likelihood estimation, Asymptotic theory. |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C31 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions ; Social Interaction Models |
Item ID: | 59901 |
Depositing User: | Kunpeng Li |
Date Deposited: | 14 Nov 2014 20:29 |
Last Modified: | 01 Oct 2019 01:38 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/59901 |