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Bankruptcy prediction in Norway: a comparison study

Rada Dakovic, Claudia Czado and Daniel Berg

Applied Economics Letters, 2010, vol. 17, issue 17, 1739-1746

Abstract: In this article we develop statistical models for bankruptcy prediction of Norwegian firms in the limited liability sector using annual balance sheet information. We fit generalized linear, generalized linear mixed and Generalized Additive Models (GAM) in a discrete hazard setting. It is demonstrated that careful examination of the functional relationship between the explanatory variables and the probability of bankruptcy enhances the models' forecasting performance. Using information on the industry sector we model the unobserved heterogeneity between different sectors through an industry-specific random factor in the generalized linear mixed model. The models developed are shown to outperform the model with Altman's variables.

Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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DOI: 10.1080/13504850903299594

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