Questions tagged [tobit-regression]

Tobit regression is used to estimate a linear regression model when the dependent variable is censored, i.e. when it is only observed over an interval of its support.

Filter by
Sorted by
Tagged with
1
vote
1answer
20 views

Baseline adjustment when both pre- and post values are subject to left-censoring

Assume $X$ is a binary treatment variable, $Y$ is a continuous variable measured pre- and post-treatment $(Y_{pre}$, $Y_{post})$, and $Z$ represents the remaining covariates. Both $Y_{pre}$ and $Y_{...
0
votes
0answers
7 views

Zero Hidden layers + ReLu-Activation + Gradient Descent = Tobit?

when I train a neural network with zero hidden neurons and ReLu activation functions using gradient descent, can it be expected that the resulting weights are approximatly equal to those of a tobit ...
0
votes
0answers
13 views

Should I perform Tobit/Ordinal Regression instead of OLS?

I'm using regression to understand what demographic variables explain playtime and performance in an educational video game. Demographic variables are age is numerical while gender, race, income, ...
0
votes
0answers
19 views

Calculating the effect of trustworthiness on obtaining bank loan and on loan rate (interpretation question)

I am reading a paper that discusses how people's perception of borrower's trustworthiness affects his/her probability of loan approval, and also loan rate. This is from a RFS paper on page 2474 (2.1) (...
0
votes
0answers
11 views

How to fit Censored least absolute deviations (censored LAD) in SAS?

Censored least absolute deviations (censored LAD). Censored LAD, proposed by Powell, is a robust alternative to maximum likelihood estimation for the Tobit model. Powell J. Least absolute ...
2
votes
1answer
93 views

What type of model(s) can I use for my (definitely not linear) dependent variable?

I have dependent variable, measured with a range of 0-100% (nevertheless it takes on fairly few variables). It reflects the amount of sales reported for some purpose. The distribution looks as in the ...
0
votes
0answers
31 views

Do I have a censored variable or not? What is the mean of my data?

I have a variable variable from a survey, which has a range from never (0) to always (100) in 10 steps (0 -100). It is obviously a discrete (ordinal) variable, but I want to try to treat is as ...
0
votes
0answers
26 views

Aggregating (taking the mean of) a censored variable

This post is related to this post. I have survey data, with a (censored) range from 0-100, that looks as follows: ...
0
votes
0answers
9 views

Predicted left-censored/tobit values equation Wooldridge

I am trying to confirm the predicted values for education for a left-censored/tobit regression in Figure 17.3 (pg.603) for Wooldridge's Introductory Econometrics, https://economics.ut.ac.ir/document......
1
vote
1answer
40 views

Wikipedia's likelihood function of tobit model

This is the likelihood of the tobit model on Wikipedia. To my understanding, the first is the normal density when y is greater than the threshold and the second is the cdf of y for everything below ...
0
votes
0answers
23 views

Tobit Regression

I have a data set of Arsenic (As) in rice grain which is dependent of As in soil and also As in irrigation water. The permissible limit of As in rice grain is 400 ppb however in reality more than that ...
0
votes
0answers
20 views

Limited reponse instrumentED / endogenous variable, when using an instrument

I am trying to do something similar to this paper, where the authors use binary instrumentED variable (they use a binary first stage and then use those predictions into what would normally be the ...
1
vote
0answers
55 views

Manual calculation - instrumental variable with a tobit distribution in the 2nd stage, different results with robust errors

Cross Posted at Stack Exchange. I am trying to correct my standard errors, when using an ols distribution in the first stage and using a tobit distribution in the second. For some reason, I am getting ...
0
votes
0answers
23 views

Correcting the standard errors, when the second stage is a tobit regression

I am trying to implement this bootstrap method for my data, but with more variables, to correct my standard errors (the original code is posted at the bottom). Cross-posted on Stackoverflow ...
0
votes
0answers
9 views

Standard error of Tobit regression

When estimating the standard Tobit model under the assumption of homoskedasticity, what is the formula for calculating the standard error of the estimators? I haven't been able to find any literature/...
1
vote
0answers
42 views

Predicted values well outside of the censored range

I am working with an endogenous independent survey variable, $x$, which has a value range from 0 - 10, where 0 is always and 10 is never. Because the question pertains to wrongdoing, the answer to the ...
0
votes
0answers
81 views

Analyzing zero-inflated continuous data

I have some trouble with analyzing a dataset with a non-normal distribution. My experiment consist of one continous response variable (ratio data) and two factors; growth conditions and species, with ...
0
votes
0answers
128 views

How to estimate the marginal effects from panel tobit model in R

I am working with a 7-year panel data using forest loss as an outcome. Forest loss is expressed in percent of the area, and only 6% of the areas had forest loss. Given the large number of zeros in the ...
2
votes
1answer
258 views

2SLS or IV with a tobit distribution in the first stage

I would like to use a two stage least squares approach (2SLS), where the first stage would benefit from a Tobit specification. I cross posted this on stackoverflow because there might be quite some ...
0
votes
0answers
38 views

Leverage after Tobit Regression

In STATA, after running a TOBIT regression, I'm trying to calculate the leverage and Cook's Distance values. When I run: predict c, cooksd I get the error: 'option ...
2
votes
1answer
272 views

Is it practical to use Tobit models predictively for censored latent variables?

I'm developing a model in R estimating vehicle miles traveled (VMT) using Tobit specification, since my data include a cluster of zero VMT values. I understand that the coefficients given by a Tobit ...
2
votes
2answers
97 views

best regression model for a percentage of function variable

I am trying to choose the best regression model for a dependent variable 'percentage of normal shoulder function'. This variable is non normal and clustered at the high end of the possible range, ie ...
1
vote
0answers
220 views

Tobit model for continuous zero inflated data?

I would like advice on how to apply an appropriate linear model to my data. I have several continuous independent variables, and a dependant variable with continuous distance measurements. This ...
0
votes
0answers
37 views

Asking: interpret tobit regression to estimate willingness to pay from payment card

I have a research question, that I have to evaluate the Willingness to pay data for conservation. My input data in the type of payment card : $0, <\$2, \$2-\$4, \dotsc, >\$10$. I use middle ...
1
vote
0answers
65 views

Predictive Margins After Mixed-Effect Tobit

I'm hoping to get advice on the difference between two predictive margins outputs after running a mixed-effect tobit regression (in Stata 16.0). Here is a sample output (modified from my actual case),...
1
vote
0answers
86 views

2-stage selection model with censoring: Heckman selection model with second stage censoring

I am seeking to get some insights on the application of two-part Tobit-type models to a distribution with potentially selection (from 0 into +ve) and upper truncation (censoring of data at 100%). ...
1
vote
2answers
175 views

A workaround for using linear models (rather than Tobit) with censored data?

I have a left censored dependent variable where many of the observations have a value of zero. The data is clustered (multiple measurements over time for each person). I initially decided to use a ...
0
votes
0answers
53 views

Estimation of censored regression model

I am refreshing my knowledge with respect to econometric modelling in general. I came across page 201 of the book 'Enjoyable Econometrics by Philip Franses' and I had some difficulties interpreting ...
3
votes
0answers
60 views

Multiple regression for left-censored independent and dependent variables

I am interested in developing a predictive multiple regression model which predicts a concentration of one compound based on the measured concentrations of several other compounds. Both the dependent ...
1
vote
0answers
17 views

Unbiased estimation of regression coefficients conditional on a range of the dependent variable

I am interested in the relationship between a set of explanatory variables and a particular outcome variable for values of the outcome above a certain cutoff. Can I simply regress the outcome on the ...
0
votes
0answers
127 views

Conditional heteroscedasticity for the tobit model in Layman's terms

I have been using the crch package for modelling censored data with the tobit model. I noticed early on that the errors (by far) are not normally distributed by ...
0
votes
1answer
22 views

Question about deriving probabilities in the Tobit model

In the Tobit model: Why do you divide by σ when deriving the probability that y = 0? Is it something to do with the assumption that ε is distributed N(0,σ^2) and not N(0,1)? If this is the case why ...
6
votes
1answer
864 views

What is really the Scale or Sigma parameter of a tobit regression?

In this most upvoted CV answer on that topic the "scale" parameter (aka "sigma" in Stata) thrown in a tobit regression output is explained to be "the estimated standard ...
1
vote
1answer
265 views

Hurdle model vs left censored model

When dealing with response variables that have lots and lots of zeros, is there a clear argument for when hurdle models are preferred and when left censored or tobit models are preferred?
1
vote
1answer
100 views

Picking from Logistic vs Survival Model

I have a health data set for measuring the effectiveness of a drug. (Age, Gender(0,1), Morbidity(1,2,3), Dosage(0,1), Group (a,b), Effect (Not effective =0, effective = 1), and Time (days needed for ...
1
vote
1answer
282 views

How to get rid of zero standard error values, missing t-values and p-values

I was running a couple of Tobit regressions on SAS. Surprisingly, I found that estimates from one model show 0 standard errors, missing (.) t-values and p-values. Why did this happen? What does this ...
1
vote
0answers
496 views

Comparing the output and fit of an OLS and a Tobit model, and comparing Tobit models

I am trying to estimate a quite complicated model (many variables with different structures), with a limited dependent variable, which ranges from 0-100% with about 45% of the sample having an ...
2
votes
0answers
365 views

Censored Regression/Tobit: coefficients decrease drastically when non-normal distribution is assumed

I am trying to use a Tobit/ censored regression model to estimate the effect of a certain political condition on a tax. Our dependent variable is zero-inflated because in most of our observations this ...
3
votes
0answers
414 views

My Tobit model gives all infinite standard deviations

I am trying to do a Tobit estimation (in R) because my dependent variable ranges from 0-100 with many values at a 100. ...
1
vote
1answer
100 views

standard error estimate in CRCH

[Disclosure: I previously posted this over at stackoverflow, but I think that was the wrong place as I got no response. I've since deleted that post.] I need to run a regression on censored data, and ...
1
vote
0answers
156 views

Censored regression with right censored data

I'm kind of new to Stats and R in general and I'm looking to clear some doubts. I'm trying to use Censored regression models to do the analysis of my qPCR data. The response variable is continuous (Ct ...
1
vote
0answers
160 views

Tobit model: Left and right censoring

In my data, my outcome variable days.to.event is conceptually left censored at 0 days and right censored at 30 days. However, since the ...
1
vote
1answer
193 views

Tobit model with flexible censoring point in R

I am currently writing my MSc thesis and I am using a Tobit model. My data consists of fleet and sales data. The censored dependent variable is quantity and this quantity is higher than the fleet ...
1
vote
1answer
220 views

How many parameters should I report in an AIC table for a tobit model?

I am considering using a tobit model in R to estimate velocity of a number of animals moving north across a landscape. I am working with simulated data, so when an ...
1
vote
0answers
328 views

When and why should we use Tobit Regression model?

I am trying to find out determinants of corporate cash holdings for a panel dataset of 1696 firms over a period of 21 years. The dependent variable is the ratio of 'Cash and Cash Equivalents' to '...
1
vote
0answers
18 views

How to model if a company is mentioned in a review (volume) and how it is mentioned (valence)?

I am working with social media data of Brand A and would like to model what features of posts of Brand A are linked to if a competitor (Brand B) is mentioned in the comments of different posts of ...
0
votes
0answers
861 views

Fixed Effects for fractual response variable with many zero observations

I am investigating the impact of some independent variables on educational expenditure shares, which is given as the proportion of $\frac{educational\_expenditure_i}{total\_expenditures_i}$. The ...
2
votes
1answer
102 views

validity of tobit estimates after multiple imputation

I want to estimate tobit marginal effects using multiply imputed data, however I see that tobit is not among the estimation commands supported by Stata's MI prefix - I understand that the validity of ...
2
votes
1answer
1k views

Two intercepts for Tobit regression in R using VGAM

I'm fitting a Tobit regression left censored at 0 using the vglm function from the VGAM package. But, after fitting the model, I'm getting two intercepts? Is this a problem with the function? If not, ...
0
votes
0answers
292 views

Can I use a two-limit tobit model to drop certain outliers?

I am implementing a Tobit model, since my dependent variable (educational expenditure shares) is left-censored at 0. Below you'll find a swarmplot of the dependent variable and the explanatory ...