Davies, R. B. (1993) Nonparametric control for residual heterogeneity in modelling recurrent behaviour. Computational Statistics and Data Analysis, 16 (2). pp. 143-160.Full text not available from this repository.
Distinguishing between the confounding effects of temporal dependence, variation in exogenous factors and residual heterogeneity over and above that due to measured explanatory variables is a major challenge to be confronted in any analysis of panel or similar longitudinal data. This paper addresses the main issue that arises in this context, that of controlling for residual heterogeneity, and reviews two nonparametric methods that have been proposed. These methods are of some practical interest because of evidence that longitudinal models are not always robust to alternative parametric specifications of the residual heterogeneity. Their use is illustrated by three examples, covering residential mobility, depression and unemployment. The compirical results also demonstrate some of the misleading consequences of failure to account for residual heterogeneity. Alltention is drawn to the computational and other problems which appear to have inhibited the adoption of nonparametric control.
|Journal or Publication Title:||Computational Statistics and Data Analysis|
|Uncontrolled Keywords:||Panel data ; Temporal dependence ; Omitted variables ; Integrated log-likelihood ; Non-central moments ; Initial conditions|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Lancaster Environment Centre|
|Deposited On:||11 Nov 2008 09:55|
|Last Modified:||13 Jan 2016 11:03|
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