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TOPIC: | MULTIVARIATE ORDERED DISCRETE RESPONSE MODELS |
ABSTRACTWe introduce multivariate ordered discrete response models with general rectangular structures. From the perspective of behavioral economics, these non-lattice models correspond to broad bracketing in decision making, whereas lattice models, which researchers typically estimate in practice, correspond to narrow bracketing. In these models, we specify latent processes as a sum of an index of covariates and an unobserved error, with unobservables for different latent processes potentially correlated. We provide conditions that are sufficient for identification under the independence of errors and covariates and outline an estimation approach. We present simulations and empirical examples, with a particular focus on probit specifications. Keywords: Ordered response, non-lattice structure, binary decision tree, identification, semiparametric models, broad bracketing, narrow bracketing. JEL Codes: C14, C31, C35, D9. Click here to view the CV. Click here to view the paper. | |  | PRESENTERTatiana Komarova University of Manchester | RESEARCH FIELDSEconometric Theory Applied Econometrics | DATE:5 April 2024 (Friday) | TIME:10am - 11.30am | VENUE:Meeting Room 5.1, Level 5
School of Economics
Singapore Management University
90 Stamford Road
Singapore 178903 |
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