Mixed Estimation and the Expansion Method: An Application to the Spatial Modelling of the AIDS Epidemic

Emilio Casetti
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Emilio Casetti: Odense University

Chapter 2 in Recent Developments in Spatial Analysis, 1997, pp 15-34 from Springer

Abstract: Abstract Analysts often ‘prioritize’ the independent variable(s) in their models in the sense that they entertain presuppositions as towhich variables are more/less important explanators of the dependent variables. The models constructed by expansions, are arrived at by redefming the parameters of an initial model into functions of expansion variables. Often these expanded models reflect a prioritization. This is the case if the initial model includes higher-priority explanators of the dependent variable(s), while the expansion variables and the terms in which they appear are lower priority refinements. Also, the initial model often articulates the primary theory that the expansions complement or widen.

Keywords: Initial Model; Priority Variable; Cobb Douglas Production Function; Expansion Variable; Mixed Estimator (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-3-662-03499-6_2

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