; ; ; "ActiveFedora::Aggregation::ListSource" . a , ; "Alternative Computational Approaches to Inference in the Multinomial Probit Model"; ; "batchuser@example.com"; "Runkle, David Edward", "Geweke, John", "Keane, Michael P."; "Federal Reserve Bank of Minneapolis"; "This research compares several approaches to inference in the multinomial probit model, based on Monte-Carlo results for a seven choice model. The experiment compares the simulated maximum likelihood estimator using the GHK recursive probability simulator, the method of simulated moments estimator using the GHK recursive simulator and kernel-smoothed frequency simulators, and posterior means using a Gibbs sampling-data augmentation algorithm. Each estimator is applied in nine different models, which have from 1 to 40 free parameters. The performance of all estimators is found to be satisfactory. However, the results indicate that the method of simulated moments estimator with the kernel-smoothed frequency simulator does not perform quite as well as the other three methods. Among those three, the Gibbs sampling-data augmentation algorithm appears to have a slight overall edge, with the relative performance of MSM and SML based on the GHK simulator difficult to determine."^^; "1994-05"; "2019-09-14T00:12:50.225463599+00:00"^^; "https://doi.org/10.21034/sr.170"; ; "https://creativecommons.org/licenses/by-nc/4.0/"; "Thu Nov 7 22:10:30 2019"; "https://creativecommons.org/licenses/by-nc/4.0/"; "Research Paper"; "392", "266", "678"; "Staff report (Federal Reserve Bank of Minneapolis. Research Department)"; "170"; ; ; ; ; "Federal Reserve Bank of Minneapolis. Research Department"; "Published in: _Review of Economics and Statistics_ (Vol. 76, No. 4, November 1994, pp. 609-632) https://doi.org/10.2307/2109766. "^^; ; "Publication" . ; .