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Because serial correlation in linear panel-data models biases the standard errors and causes the results to be less efficient… Expand This paper reviews econometric methods for dynamic panel data models, and presents examples that illustrate the use of these… Expand Using a Monte Carlo approach, we find that the bias of LSDV for dynamic panel data models can be sizeable, even when T 5 20. A… Expand Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate… Expand In this paper we consider estimation of the autoregressive error components model. When the autoregressive parameter is… Expand A stochastic frontier production function is defined for panel data on firms, in which the non-negative technical inefficiency… Expand Abstract Representations historically used within GIS assume a world that exists only in the present. Information contained… Expand Data modeling is defined as the process of discretizing spatial variation, but may be confused with issues of data structure, and… Expand A data model, called the entity-relationship model, which incorporates the semantic information in the real world is proposed. A… Expand A data model, called the entity-relationship model, is proposed. This model incorporates some of the important semantic… Expand