Robinson, Peter (2008) Large-sample inference on spatial dependence. Econometrics Papers, EM/2009/533. Suntory Centre, London School of Economics and Political Science, London, UK.
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We consider cross-sectional data that exhibit no spatial correla- tion, but are feared to be spatially dependent. We demonstrate that a spatial version of the stochastic volatility model of nancial econometrics, entailing a form of spatial autoregression, can explain such behaviour. The parameters are estimated by pseudo Gaussian maximum likelihood based on log-transformed squares, and consistency and asymptotic normality are established. Asymptot- ically valid tests for spatial independence are developed.
|Item Type:||Monograph (Discussion Paper)|
|Additional Information:||© 2008 Peter Robinson|
|Library of Congress subject classification:||H Social Sciences > HB Economic Theory|
|Journal of Economic Literature Classification System:||C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors|
|Sets:||Collections > Economists Online
Departments > Economics
Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)
|Date Deposited:||12 Oct 2009 15:39|
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