Summary
Previous Bayesian studies of structural change in linear models have focused on the shift point or on the transition function of the model. In this study we take a Bayesian approach for making inferences about the intersection between two regression lines. Using a proper prior density for all of the parameters, the marginal posterior density of the intersection is derived. This density can be expressed in closed form, but it is not a standard density. With numerical integration, the density can be normalized and point and interval estimators computed.
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© 1991 Springer-Verlag Berlin Heidelberg
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Broemeling, L.D., Cook, P.J., Choy, J.H.C. (1991). Bayesian Inferences about the Intersection of Two Regressions. In: Hackl, P., Westlund, A.H. (eds) Economic Structural Change. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06824-3_6
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DOI: https://doi.org/10.1007/978-3-662-06824-3_6
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