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Testing for spatial error autocorrelation in the presence of endogenous regressors

Anselin, Luc - In: International regional science review 20 (1997) 1, pp. 153-182

Persistent link: https://www.econbiz.de/10001336636

Omitted factors and spatial lags in the dependent variable

Kelejian, Harry H. - In: Letters in spatial and resource sciences : LSRS 7 (2014) 1, pp. 23-33

Persistent link: https://www.econbiz.de/10010242883

The Moran I test for spatial correlation of regression disturbances : an extension accounting for endogenous regressors

Kelejian, Harry H. - 1995

Persistent link: https://www.econbiz.de/10000921449

The logit model and panel data via repeated observations : a clarification and extension of the literature

Kelejian, Harry H. - In: Economics letters 40 (1992) 2, pp. 135-140

Persistent link: https://www.econbiz.de/10001138449

Spatial dependence and spatial structural instability in applied regression analysis

Anselin, Luc - In: Journal of regional science 30 (1990) 2, pp. 185-207

Persistent link: https://www.econbiz.de/10001085672

The test for spatial autocorrelation in seemingly unrelated regressions

Anselin, Luc - In: Economics letters 4 (1988), pp. 335-341

Persistent link: https://www.econbiz.de/10001060377

Non-nested tests on the weight structure in spatial autoregressive models : some Monte Carlo results

Anselin, Luc - In: Journal of regional science 26 (1986) 2, pp. 267-284

Persistent link: https://www.econbiz.de/10001012085

Model validation in spatial econometrics : a review and evaluation of alternative approaches

Anselin, Luc - In: International regional science review 11 (1988) 3, pp. 279-316

Persistent link: https://www.econbiz.de/10001064476

Efficient prediction in random coefficient panel data models : theoretical and Monte Carlo results concerning alternatives to pooling and seemingly unrelated regression

Kelejian, Harry H.; Stephan, Scott W. - 1983

Persistent link: https://www.econbiz.de/10000883280

Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances

Kelejian, Harry H. (contributor); … - 2008

One important goal of this study is to develop a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations. We first...

Persistent link: https://www.econbiz.de/10003790570