This study analyzed the impact of state emergency declarations for COVID-19 on food consumption using consumer purchase history data. We performed a regression discontinuity design random effect Tobit model. The main finding is that both first and second increased budget share uncooked reduced eating out; however, significant increase in cooked was observed only after declaration. varied by fam...

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...

Research on the impact of urbanization total factor carbon productivity is great significance to promote emission reductions and achieve sustainable development. Based panel data Central Asian countries from 1991 2019, SBM–Malmquist index model entropy method were used measure urbanization, respectively. The nonlinear regression, Tobit, quantile regression models empirically analyze in Asia. re...

This papjer proposes alternatives to maximum likelihood estimation of the censored and truncated regression models (known to economists as "Tobit" models) . The proposed estimators are based on symmetric censoring or truncation of the upper tail of the distribution of the dependent variable. Unlike methods based on the assumption of identically distributed Gaussian errors/ the estimators are co...

Lasso methods are regularization and shrinkage methods widely used for subset selection and estimation in regression problems. From a Bayesian perspective, the Lasso-type estimate can be viewed as a Bayesian posterior mode when specifying independent Laplace prior distributions for the coefficients of independent variables (Park and Casella, 2008). A scale mixture of normal priors can also prov...

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...

ABSTRACT Purpose: To investigate whether the shareholder concentration and board composition influence export of Brazilian listed firms from 2010 to 2017. Originality/value: The study contributes literature on exports corporate governance by highlighting that companies with good practices, measured ownership/control structure, might increase their exports. This research can serve as a guide for...

OBJECTIVES We evaluated the hypothesis that plasma levels of adiponectin and leptin are independently but oppositely associated with coronary artery calcification (CAC), a measure of subclinical atherosclerosis. In addition, we assessed which biomarkers of adiposity and insulin resistance are the strongest predictors of CAC beyond traditional risk factors, metabolic syndrome, and plasma C-react...

INTRODUCTION Health utilities of tuberculosis (TB) patients may be diminished by side effects from medication, prolonged treatment duration, physical effects of the disease itself, and social stigma attached to the disease. METHODS We collected health utility data from Thai patients who were on TB treatment or had been successfully treated for TB for the purpose of economic modeling. Structur...