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From |
"Roger H. Coupal" <Coupal@uwyo.edu> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
st: Stata tool for a complex question |

Date |
Tue, 12 Jan 2010 05:46:48 -0700 |

Hi, We are looking for code that estimates a random utility model with three indirect utility equations and 2 latent class variables (LCM) using data from a stated choice experiment. We are using a random utility model for the stated choice (A, B, or neither) and are finding heterogeneity across the survey sample that a LCM may best capture. Basically the following situation is being modeled: - Choice 1, Choice 2, Choice 3 (neither 1 nor 2) which are mutually exclusive choices - indirect utility functions are estimated for each choice of a given choice occasion: Ch1=f(env attributes, sociodemo attributes) Ch2=f(env attributes, sociodemo attributes) Ch3=f(variables, sociodemo attributes differing from Ch1 and 2) CH 1, 2, and 3 are (0,1) dependent variables and explanatory variables are mix of dummies and actual numbers. The likelihood function must take into account the probability of choosing a choice (1,2, 3), conditioned on being within a certain segment delineated by the latent class variable. Then a ML function is estimated where the parameters of CH1 and CH2 are the same but the parameters of CH3 are different. Is there a command in Stata that can task this problem? Thanks. Is there tool in Stata that can accomplish this? thanks Roger Coupal, Department Head Agricultural and Applied Economics University of wyoming coupal@uwyo.edu 307.766.5539 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Stata tool for a complex question***From:*Neil Shephard <nshephard@gmail.com>

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