Multivariate ordered discrete response models with two layers of dependence

Tatiana Komarova and William Matcham

Papers from arXiv.org

Abstract: We develop a class of multivariate ordered discrete response models featuring general rectangular structures, which allow for functionally interdependent thresholds across dimensions, extending beyond traditional (lattice) models that assume threshold independence. The new models incorporate two layers of dependence: one arising from the interdependence of decision rules (capturing broad bracketing behaviors) and another from the correlation of latent utilities conditional on observables. We provide microfoundations, explore semiparametric and parametric specifications, and establish identification conditions under logical consistency in decision-making. An empirical application to health insurance markets demonstrates the advantages of this new framework, showing how it disentangles moral hazard (captured via threshold dependence) from adverse selection (isolated in unobservable correlations), offering insights into behavioral responses obscured by lattice models.

Date: 2022-05, Revised 2025-11
New Economics Papers: this item is included in nep-dcm and nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/2205.05779 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2205.05779

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().