Multi-wave panel data are observations at two or more points in time on a continuously changing attribute of interest (e.g. behaviour). In this paper, the adequacy of the continuous-time homogeneous Markov chain (CTHMC) model is assessed for describing the process of change underlying such data. In
Assessing the default risk by means of a discrete-time survival analysis approach
✍ Scribed by Daniele De Leonardis; Roberto Rocci
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 142 KB
- Volume
- 24
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.705
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✦ Synopsis
Abstract
In this paper, the problem of company distress is assessed by means of a multi‐period model that exploits the potentialities of the survival analysis approach when both survival times and regressors are measured at discrete points in time. The discrete‐time hazards model can be used both as an empirical framework in the analysis of the causes of the deterioration process that leads to the default and as a tool for the prediction of the same event. Our results show that the prediction accuracy of the duration model is better than that provided by a single‐period logistic model. It is also shown that the predictive power of the discrete‐time survival analysis is enhanced when it is extended to allow for unobserved individual heterogeneity (frailty). Copyright © 2008 John Wiley & Sons, Ltd.
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