This paper deals with a linear errors-in-variables model where the dependent variable is censored. A two-step procedure is proposed to derive the moment estimator of the model and the corresponding asymptotic covariance matrix. The results cover the moment estimation of the usual (error-free) Tobit model as a special case. It is shown that, under normality and a certain identifying condition, t...

This study compares an ordered probit model and a Tobit model with selection to take into account both true zero and protest zero bids while estimating the willingness to pay (WTP) for conservation easements in Macon County, NC. By comparing the two models, the ordered/unordered selection issue of the protest responses is analyzed to demonstrate how the treatment of protest responses can signif...

Relatively recent research has illustrated the potential that tobit regression has in studying factors that affect vehicle accident rates (accidents per distance traveled) on specific roadway segments. Tobit regression has been used because accident rates on specific roadway segments are continuous data that are left-censored at zero (they are censored because accidents may not be observed on a...

HERE WE PRESENT the likelihood function used to estimate the parameters of the demand model. The model can be thought of as a system of four “standard” equations: (i) a tobit down payment equation (with censoring at the minimum down), (ii) a probit purchase equation, (iii) a tobit repayment equation (with censoring at full payment or at the end of our sample), and (iv) a linear price negotiatio...

INTERVAL ESTIMATION OF EXCESS RISK RELATED EFFECTIVE DOSES IN TOBIT MODELS by Jia Wang ADVISOR: Professor Nan Lin December 2009 Saint Louis, Missouri In this thesis we consider interval estimation of excess risk related effective dose (ERED) in dose-response studies using tobit model. Let P (x) be the probability of response at dose level x. Considering the background probability P (0), excess ...

An important task in deriving a summary measure of health is to incorporate stated preferences into health state classifications. This paper examines a range of alternative econometric models for dealing with a skewed, truncated, non-continuous and hierarchical (at the individual level) data set of standard gamble valuations of health states defined by the health state classification the SF-6D....

In this paper, we study the asymptotic normality of the conditional maximum likelihood (ML) estimators for the truncated regression model and the Tobit model. We show that under the general setting assumed in his book, the conjectures made by Hayashi (2000) 1 about the asymptotic normality of the conditional ML estimators for both models are true, namely, a sufficient condition is the nonsingul...

The interplay between economic theory and econometrics comes to its full force when analyzing structural models. These models are used in Industrial Organization, Marketing, Public Finance, Labor Economics, and many other fields in economics. Structural econometric methods make use of the behavioral and equilibrium assumptions specified in economic models to define a mapping between the distrib...