This paper explores for the first time the consequences of centrally imposed local tax limitations on the modelling and estimation of spatial auto-correlation in local fiscal policies, and compares three spatial interaction estimators: a) the conventional maximum likelihood estimator that...

We investigate a class of estimators for linear regression models where the dependent variable is subject to bid-ask censoring. Our estimation method is based on a definition of error that is zero when the predictor lies between the actual bid price and ask price, and linear outside this range....

Parametric estimation of cause-specific hazard functions in a competing risks model is considered. An approximate likelihood procedure for estimating parameters of cause-specific hazard functions based on competing risks data subject to right censoring is proposed. In an assumed parametric model...

The contingent valuation (CV) method is an attractive approach for comparing home care to hospital care in which the only difference is patients' well-being during the treatment process and not health outcomes. We considered the empirical situation of blood transfusion (BT) in cancer patients...

Characteristics of households who participate in gambling markets in the US, and the determinants of household expenditure on gambling, are investigated using data from the Consumer Expenditure Survey (CEX). I estimate empirical models of participation in gambling markets and gambling...

In this paper we estimate intergenerational educational mobility for Brazil, Chile, Uruguay and the USA along the period 1995-2006. We propose an in- dex of intergenerational mobility based on the variance decomposition in an error-components model. We estimate three indexes of mobility: one...

We suggest several goodness-of-fit (GOF) methods which are appropriate with Type-II right censored data. Our strategy is to transform the original observations from a censored sample into an approximately i.i.d. sample of normal variates and then perform a standard GOF test for normality on the...

The extensions of the entropy and Kullback–Leibler (KL) information to the cumulative distribution function have been recently studied because they are well defined on the empirical distribution function. In this paper, we generalize the extended KL information to the censored case and propose...