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This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
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We show that a sufficient condition for the identification ofall parameters of the censored regression model with …
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This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011288787
identification lies at the root of these differences. To deal with this lack of identification, we propose an identification strategy … subjective choices due to a lack of identification. We apply our methodology to the pollution-income relationship of both CO2 …
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