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First Derivatives of the log-L for the multivariate probit model

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Author Info
Vargas Barrenechea, Martin

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Abstract

In this work we found first derivatives for the log likelihood function of the multivariate probit model.

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File URL: http://mpra.ub.uni-muenchen.de/5214/
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File URL: http://mpra.ub.uni-muenchen.de/5302/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 5214.

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Date of creation: 13 Oct 2007
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Handle: RePEc:pra:mprapa:5214

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Related research
Keywords: PROBIT; ECONOMETRICS; DISCRETE CHOICE;

Find related papers by JEL classification:
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General

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