Geweke, John and Keane, Michael and Runkle, David (1994): Recursively Simulating Multinomial Multiperiod Probit Probabilities. Published in: Proceedings of the American Statistical Association No. Business and Economic Statistics Section (1994): pp. 1-6.
Preview |
PDF
MPRA_paper_55140.pdf Download (219kB) | Preview |
Abstract
We describe how to recursively simulate choice probabilities in the multiperiod multinomial probit model using the GHK algorithm. We also provide GAUSS code to implement the method.
Item Type: | MPRA Paper |
---|---|
Original Title: | Recursively Simulating Multinomial Multiperiod Probit Probabilities |
Language: | English |
Keywords: | GHK algorithm; smooth recursive conditioning simulator; panel probit model; simulation based inference |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling |
Item ID: | 55140 |
Depositing User: | Professor Michael Keane |
Date Deposited: | 09 Apr 2014 20:04 |
Last Modified: | 17 Oct 2019 16:54 |
References: | Borsch-Supan, A. and Hajivassiliou, V. (1993): Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models; Journal of Econometrics 58: 347-368. Geweke, J. (1991): Efficient simulation from the multivariate normal and student-t distributions subject to linear constaints; in Keramidas, E. (ed.); Computer Science and Statistics: Proc. 23rd Sympos. on the Interface; Interface Foundation Inc.; 571-578. Geweke, J., Keane, M. and Runkle, D. (1994): Alternative computational approaches to statistical inference in the multinomial probit model; Review of Economics and Statistics, 76:4, 609-632. Geweke, J., Keane, M. and Runkle, D. (1994): Statistical Inference in the multinomial multiperiod Probit Model; Research Department Staff Report 177. Federal Reserve Bank of Minneapolis. Hajivassiliou, V. A. and McFadden, D. (1994): A Method of Simulated Scores for the Estimation of LDV Models with an Application to External Debt Crises; Cowles Foundation Discussion Paper No. 967; Yale University. Hajivassiliou, V. A., McFadden, D. and Ruud, P. (1993): Simulation of Multivariate Normal Orthant Probabilities: Methods and Programs; Cowles Foundation Discussion paper No. 1021; Yale University. Keane, Michael P. (1990): Four Essays in Empirical Macro and Labor Economics; PhD Dissertation, Brown University. Keane, Michael P. (1994). A Computationally Practical Simulation Estimator for Panel Data. Econometrica, 62:1, 95-116. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/55140 |