logit

  1. A

    Including a constant term in Logit regression

    In my logit regression all of my coefficients are significant under the 10% s.l. However, the constant term has a p-value of about 0.600. The regression without it has equally good t statistics as before for the rest variables. Can I permanently remove it from my regression/model with the...
  2. 3

    Nested continuous Regression conditioned on dummy

    Hi, Does anyone know what model to use for the following issue: I would like to estimate transaction size (continuous dependent variable) using various predictors. But I would like to condition the regression on whether the buyer and seller are located in the same state (dummy variable...
  3. D

    xtlogit fixed effects model

    Hi; I am trying to estimate a conditional probability model with panel data and fixed effects, therefore I am using the xtlogit, fe command. After the estimation I want to compte the probabitities of some hypothetical cases given the parameters but to do so I need to get the fixed effects for...
  4. S

    (2) x 3 x 3 x 2 design experiment with a categorical DV

    Hi all - I've recently conduct a behavioral experiment with a (2) x 3 x 3 x 2 design. There are 4 categorical independent variable (one being a within factor - the other three between), and 1 categorical/binary dependent variable. I'm interested in 1) finding out the main effects of each...
  5. K

    Interaction effects of nominal and ordinal variables on binary dependant variable

    Hi! I'm doing an analysis of interaction effects of one binary nominal variable (medication used), one ordinal variable (duration of therapy ; 1-few weeks, 2-less than 3 months, 4-less than six months, 5-more than six months) and one interval variable (age) on binary dependant variable (0- does...
  6. Y

    statistical analysis for biostats project

    hi guys, was pondering about this.... my project is about seeing how a list of about 40 different variables affect a catergorical outcome (yes/no). i was planning to just focus on looking at 5 different variables from the entire list of 40 different variables. the first step is to...
  7. K

    What regression model should I use?

    I am currently a student and haven't taken statistics in a long time, so keep that in mind! 1) I am unsure if my dependent variable is categorical or ordinal. It is a scaled intensity score ranging from 0-4. My professor has told me it is categorical, but I feel like maybe it is ordinal...
  8. A

    Panel Data: Logistic fixed-effect model with a non-varying dependent variable...

    Dear all, As a part of my master’s thesis, I am currently undertaking some statistical analysis of corporate turnaround. I have a panel dataset consisting of approximately 200 firms for 6 years each gathered within a 15-year time-period and with large cross-sectional dimensions (various...
  9. D

    Can't figure out what test to use.

    Hello, I have tried all kinds of test in spss in order to find out if there are any significant difference in compliance between different citys. I have 16 citys and for each city i already calculated compliance in percentage. I want to see if there are significant change in compliance...
  10. 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...
  11. R

    Replication in logistic regression

    Hello. I'm planning a seed germination experiment where n total seeds are evenly distributed across i replicates of j treatments (so that n equals i*j*number of seeds per replicate). I will compare the proportion of germinated seeds among treatments using a logistic regression model. My query...
  12. M

    Logistic Regression: Testing for interaction effects with many covariates

    Hello everyone! As topic states, I am running a logistic regression with quite a lot of independent variables (23). There are a lot more candidate variables but this is the best model I ended up with. I would like to know if there are any possible interaction/synergy effects among them, but...
  13. 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...
  14. A

    Logistic Regression and Multiple Regression

    Hi, Please could you help me (or direct me to someone who can help me) with the following: I have a spreadsheet with a number of environmental independent variables (e.g. slope, radiation, etc.) with dependent variables (presence absence and densities of two plant species Ls and Ee). MY...
  15. P

    Error message in PROC MDC (Nested Logit Model)

    Hi everyone, I've been trying to run PROC MDC in SAS for several days and always get the same error message, please help me! Basically, my goal is to run a nested logit model for a dependent variable called "pleasantness", with, for the moment, three explanatory dummy variables (and maybe more...
  16. J

    Nonlinear Panel Regression in R

    Hello World. I have a micro data set for my local CPI basket structured as (panel data with varying monthly periods over set products) in Eviews. I however, need to run a Logit model on a number of covariates which include a set of dummies. Eviews is limited in this regard (in that it cannot...
  17. C

    Significance levels in multinom

    I am looking to get the significance levels for a #multinom# regression output (this just does a simple multinomial logit regression). I have seen some references on other sites to use #mlogit.display# but I get an error saying [R] could not find the function. Does anyone know of a way to get...
  18. D

    Logistic regression model returns lower than expected logit

    Hi all, I'm using a logistic regression model with 3 variables to separate true positives from errors in a data set. All in all it seems to perform quite well, but for some reason the logit values seem to be much lower that they should be. What I mean is that in order to get ~90%...
  19. O

    Binary logit

    Hello I need to discuss the strength and weakness of the model: There are two binary independent models: member of the party (coalition or other party) and how the candidate was elected (elected/ appointed). The dependent variable is whether people vote for a candidate or not (binary...