Development of discrete models of infrastructure deterioration with panel data

Matthew G. Karlaftis, Samer M. Madanat, Patrick S. McCarthy

Research output: Contribution to conferencePaperpeer-review

Abstract

Statistical models of infrastructure facility deterioration are typically estimated using panel (i.e. pooled cross section and time series) data of in-service facilities. For example, bi-annual ratings of bridges have been used to develop discrete models of component deterioration by a number of researchers. These models have not accounted for the presence of unobserved heterogeneity in the panel data, which may lead to biased coefficient estimates. In this paper, we adopt a random effects specification to control for unobserved heterogeneity in a probit model of bridge deck deterioration. The proposed model yields improved results in comparison with a simple probit model. An implication of the present study is that unobserved heterogeneity needs to be accounted for in developing probabilistic infrastructure deterioration models.

Original languageEnglish (US)
Pages21-30
Number of pages10
StatePublished - 1997
EventProceedings of the 1997 Speciality Conference on Infrastructure Condition Assessment: Art, Science, Practice - Boston, MA, USA
Duration: Aug 25 1997Aug 27 1997

Other

OtherProceedings of the 1997 Speciality Conference on Infrastructure Condition Assessment: Art, Science, Practice
CityBoston, MA, USA
Period8/25/978/27/97

ASJC Scopus subject areas

  • Engineering(all)

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