Two-Step Estimation of Discrete/Continuous Econometric Models with Interdependent Multinomial Choices
AbstractThis paper considers theoretical and practical aspects associated with the two-step estimation of discrete/continuous econometric models when the choice dimension concerns interdependent choices. A two-step procedure is favoured over a full-information one to avoid the specification errors that could arise from misspecifying the joint distribution of the mixed discrete and continuous random variables involved. A second advantage is simplicity. This is especially true when the choices are described with a multinomial probit (MNP) setting. For the estimation of the second step, we suggest adding selectivity correction terms to a conventional regression-based formulation. Because of the interdependencies among the choices, the correction terms depend on multivariate normal integrals that cannot be easily evaluated numerically in situations with many choices. As a solution we replace them with efficient simulators. The later are needed both for choice probabilities and for the conditional moments involved in the correction terms. The technique suggested may be viewed as an extension to the multinomial setting with interdependent alternatives of the well-known Heckman selectivity correction. As an application, we model the Quï¿½bec residential electricity demand accounting for interrelations between decisions on electricity-related durable holdings and usage.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2002 with number 226.
Date of creation: 01 Jul 2002
Date of revision:
Simulation based estimation; Joint Discrete Continuous estimation; Heckamn Type correction for MNP models;
Other versions of this item:
- Denis Bolduc & Dimitri Sanga, 1999. "Two-Step Estimation of Discrete/Continuous Econometric Models with Interdependent Multinomial Choices," Computing in Economics and Finance 1999 1323, Society for Computational Economics.
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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