In this paper, a decomposition method for Tobit-models is derived, which allows the differences in a censored outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated...

In this paper, a decomposition method for Tobit-models is derived, which allows the differences in a censored outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated...

This study applies the extension of the Machado and Mata (2005) decomposition developed by Albrecht, van Vuuren and Vroman (2009) to analyze the gender wage gap with selection correction in Uruguay. The wage gap is increasing in the upper part of the wage distribution suggesting a glass ceiling...

Dieser Aufsatz dient dem Versuch, ein konsistentes wirtschaftspolitisches Bewertungsverfahren zur Analyse der Leistungsfähigkeit der genossenschaftlichen Bankunternehmung zu entwickeln. Dafür wird das auf linearer Programmierung beruhende Schätzverfahren "Data Envelopment Analysis (DEA)"...

Dieser Aufsatz dient dem Versuch, ein konsistentes wirtschaftspolitisches Bewertungsverfahren zur Analyse der Leistungsfähigkeit der genossenschaftlichen Bankunternehmung zu entwickeln. Dafür wird das auf linearer Programmierung beruhende Schätzverfahren "Data Envelopment Analysis (DEA)"...

The paper examines factors affecting the households’ expenditure on food away from home in Bangkok area. In this paper, the expenditure is the proportion between the total household expenditure on food away from home and the total household income. The data are from the Household...

This paper explores the effects of R&D commercial subsidies by means of a model of firms’ decisions about performing R&D when some government support can be expected. To estimate the parameters of interest we use an unbalanced panel sample of 1,800 performing and non-performing Spanish...

It is well known that in most industries a significant proportion of firms do not perform innovative activities. Although empirical studies on the determinants of R&D often have taken this fact into account by considering the dependent variable as a censured one, there is not an explicit...

When the coefficients of a Tobit model are estimated by maximum likelihood their covariance matrix is typically, even if not necessarily, associated with the algorithm employed to maximize the likelihood. Covariance estimators used in practice are derived by: (1) the Hessian (observed...

The estimation of limited dependent variable panel data models usually involves objective functions in which integrals appear without a closed form solution: this is the case of the panel data Tobit model with random effects. Recently, simulation methods have shown to be useful in the inference...