probit

  1. D

    Willingness To Pay is out of ranges of bids asked in survey

    Hello, I'm trying to estimate the willingness to pay (WTP) for whale watching by using a probit model (the results are similiar with a logit). But the WTP estimated is out of the bid levels asked in the survey, which were 10, 20, 30, 40, 50 and 60 USD, but my estimate WTP results in 100 USD. So...
  2. @

    multivariate ordered probit regression---use standard bivariate normal distribution?

    Hello. My two previous posts (1 & 2) have about 100 views each, but no replies, so I must have done a poor job asking the question. So, here is the general question: how can I run a run a multivariate (more than one non-independent, response variables) ordered probit regression model? I've...
  3. @

    unrestricted cumulative probit model with vglm()---extend to a multivariate setting?

    Hi, all. I'm trying to model the transition of multiple, ordinal response variables on a continuous predictor (age). In this specific case, I'm investigating the ages at which a skeletal trait passes through a series of morphological stages. In anthropological parlance, this has become known...
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    multivariate ordinal probit regression with vglm()

    Hello, all. I'm investigating the rate at which skeletal joint surfaces pass through a series of ordered stages (changes in morphology). Current statistical methods in this type of research use various logit or probit regression techniques (e.g., proportional odds logit/probit...
  5. A

    Linear model accounting for fixed effects vs. ordered probit

    I originally ran an ordered probit model on an ordinal dependent variable (values 1-12), however in order to account for fixed effects in my analysis I decided to run a simple OLS regression. Although I know that this goes against some of the assumptions of OLS, prior to accounting for fixed...
  6. C

    IV probit and Ivreg

    Hello, When I use ivreg in Stata and cluster standard errors my results show that the independent variable is significant. However, when I use ivprobit (which makes more sense, as my dependent variable is a response variable that can only take on either the value 1 or 0) the independent...
  7. S

    Generate Data for Correlated Continuous and Discrete variables

    Hi I was wondering if anybody could suggest an appropriate approach for the following... I have one independent variable, X, which takes the values 0, 12.5, 25. I have two dependent variables, 1 normal and 1 binary. The mean of the normal variable depends on a function of a value of X...
  8. Dason

    Logit v. Probit: A fight to the death

    Every now and then I have to work with binary responses with continuous covariates. So of course this screams generalized linear model. The question then arises as to what link function to use. In the past (before I really knew any alternatives) I would just do a logistic regression (logit...
  9. R

    Gretl - Pooled Time Series Cross Sectional Data

    I've been working on a multiple regression analysis on bank failures using a probit model. I am currently using cross sectional data but I would like to use time series data in order to use historical data and increase the sample size. I am unsure of how to do this using the Gretl interface...
  10. R

    Probit: Assumption e~N(0,1), why?

    Good evening, I have got a question according the Probit-Model. In this model we always assume that the error term is standard normally distributed. I understand, that it's a reasonable assumption that the error term has expectation zero - if we did not forget important variables - and that...