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...

Contingent Valuation is now the most widely used method for valuing non-marketed goods in cost benefit analysis. Yet, despite the fact that many externalities manifest themselves as costs to some and benefits to others, most studies restrict willingness to pay (WTP) to being non-negative. This paper explores appropriate welfare measures for assessing losses and gains and demonstrates how these ...

Nigeria represents one of the paradoxes of development in which case the nation is rich but her people are poor. This study examines the rate of poverty among rural households in South western, Nigeria. A random multistage sampling was employed for the study. Ekiti and Osun states were randomly selected from the six states in South-western Nigeria. This was followed by random selection of two L...

For testing a linear hypothesis in a censored regression (or censored “Tobit”) model, three test criteria and four test statistics based on least absolute deviations estimates of parameters are proposed and their limiting chi-square distributions are established. Some consistent estimates of nuisance parameters are obtained for use in computing the test statistics. A simulation study for small ...

Title of Thesis: Using Procedural Justice to Explore the Relationship between Victim Satisfaction with Police and Victim Participation in Prosecution Sarah Jessica Greenman, Master of Arts, 2010 Thesis Directed by: Associate Professor Laura Dugan, Department of Criminology and Criminal Justice This thesis uses procedural justice to explore the relationship between victim satisfaction with the p...

Errors in variables models in linear regression are an old and important theoretical topic, but rather neglected in applied statistics. This is especially true for Bayesian statistics where the numerical diiculties for the estimation of the models are even greater. Using a Bayesian approach and modern numerical integration techniques (the Gibbs sampler) we derive the necessary full conditional ...

BACKGROUND Evidence is lacking on whether health guidance for metabolic syndrome reduces health care expenditures. The author used propensity-score matching to evaluate the effects of health guidance on health care expenditure. METHODS Men who did and did not receive health guidance from a health insurance society (approximately 60 000 covered lives) were matched (n = 397 respectively) using ...

We propose an alternative Hausman test for normality in the Tobit model. Unlike the previous tests by Ruud (1984) or Newey (1987), our test compares the Tobit estimator to an estimator which is consistent both under the null hypothesis and under the alternative hypothesis. To do so, it utilizes a purely nonparametric estimator for the Tobit model proposed by Newey (1999b) and Jeong (2004). We p...

Abstract In this paper we provide an overview of the patterns of intergenerational proximity and coresidence of adult children and their mothers in the U.S., using data from the National Survey of Families and Households (NSFH) and the U.S. Census. We highlight the importance of three specification and sample choices in the analysis. First, most previous studies consider coresidence to be the l...

The aim of this paper is to test the determinants of Research Joint Ventures’ (RJVs) group dynamics. We look at entry, exit and turbulence in RJVs that have been set up under the US National Cooperative Research Act, which allows for certain antitrust exemptions in order to stimulate firms to cooperate in R&D. Accounting for unobserved project characteristics and controlling for inter-RJV inter...