The goal of this paper is to introduce a partially adaptive estimator for the censored regression model based on an error structure described by a mixture of two normal distributions. The model we introduce is easily estimated by maximum likelihood using the EM algorithm adapted from the work of Bartolucci and Scaccia (2004). A Monte Carlo study is conducted to examine the small sample properti...

This paper reports a study regarding households’ willingness to pay for private sector solid waste management services. The data originated from a contingent valuation survey conducted in 224 households in Ilorin in southwest Nigeria and was analysed using tobit and censored least absolute deviations models. The use of a robust and consistent estimator to model zero willingness to pay responses...

Non-compliance with fishing regulations by Iranian fishermen in three provinces of Khuzestan, Bushehr, and Hormozgan along the Persian Gulf was investigated. Using a questionnaire and a stratified random sample method, a total of 566 fishermen were interviewed. The legitimacy variables (outcome and process) that can explain the observed noncompliance with zoning regulations for the shrimp fishe...

The usual decomposition of effects in corner solution models into extensive and intensive margins is generally incompatible with a causal interpretation. This paper proposes a decomposition based on the joint distribution of potential outcomes which is meaningful in a causal sense. The difference between decompositions can be substantial and yield diametrically opposed results, as shown in a st...

Contributions to public goods simulated in economists' laboratory experiments have two peculiarities from the perspective of statistical modelling. There is a variety of contributor behaviours (Ledyard, 1995), suggestive perhaps of separate classes of individuals, and contributions are doubly censored. We present an econometric model of contributions in sequential play, which takes into account...

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 ...

In a longitudinal study with response data collected during a hospital stay, observations may be missing because of the subject's discharge from the hospital prior to completion of the study or the death of the subject, resulting in non-ignorable missing data. In addition to non-ignorable missingness, there is left-censoring in the response measurements because of the inherent limit of detectio...

Most of the population of Nigeria is rural and agriculture is the mainstay of the impoverished people’s livelihood. This paper estimated the determinants of rural poverty in Nigeria using the Tobit regression model. Through the multistage sampling technique, primary data were obtained from 150 rural farming households using a questionnaire. The Result of Tobit regression analysis shows that inc...

Score limitation at the top of a scale is commonly termed "ceiling effect." Ceiling effects can lead to serious artifactual parameter estimates in most data analysis. This study examines the consequences of ceiling effects in longitudinal data analysis and investigates several methods of dealing with ceiling effects through Monte Carlo simulations and empirical data analyses. Data were simulate...

Personal interviews were conducted with beef cattle producers in Louisiana to determine their preferences and purchase decisions for livestock price insurance. Conjoint analysis was utilized to determine the importance of selected attributes of insurance policies for these producers. The characteristics of producers who prefer given attributes were also identified. Producers rated products give...