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Measuring productive performance using binary and ordinal output variables: the case of the Swedish fire and rescue services

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  • Henrik Jaldell

Abstract

Fire protection is an example of a complex production process. This study measures efficiency by constructing binary and ordinal output variables from information on residential fires in Sweden about how a fire spreads from when the fire and rescue brigade arrives to when a fire is suppressed. The motivations behind this study are that there are only a few studies trying to estimate production efficiency for fire and rescue services, that data on a more detailed level is interesting for some public services, and there is a need to be able to measure efficiency differences even if only a binary or ordinal output variable is available. Using a logit random parameter model, the random effects are interpreted as efficiency differences. The conclusions are that fire and rescue services with a more flexible fire organisation with first response persons, working in collaboration with other municipalities and with larger populations are more efficient.

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  • Henrik Jaldell, 2019. "Measuring productive performance using binary and ordinal output variables: the case of the Swedish fire and rescue services," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 907-917, February.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:3:p:907-917
    DOI: 10.1080/00207543.2018.1489159
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    Cited by:

    1. Meena Badade & T. V. Ramanathan, 2020. "Probabilistic frontier regression model for multinomial ordinal type output data," Journal of Productivity Analysis, Springer, vol. 53(3), pages 339-354, June.

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