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In the second stage, the estimated DEA efficiency scores are regressed on some institutional and contextual/environmental variables using a Tobit model.
In columns (4)–(6) the left-hand-side variable is the fraction of college-educated employees in the establishment, and the estimation method is Maximum Likelihood using a Tobit model and the sample weights provided by the survey.
Ariff and Can (2008) analyzed the cost and profit efficiencies of 29 Chinese commercial banks from 1995 to 2004 with a two-stage data envelopment analysis (DEA) model, using a Tobit model in the second stage, and concluded that profit efficiency levels were well below cost efficiency and that the inefficiencies were related to revenue.
The relation of the exogenous variables with technical efficiency was examined using a Tobit model.
In the second stage, the estimated DEA efficiency scores are regressed against hospital ownership variable using a Tobit model.
MMSE ceiling and floor effects were accounted for by using a Tobit model, that marginally improved model fit compared with the regular growth model and produced very similar estimates of fixed and random effects.
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When there are many zero values of the dependent variable, we can use a Tobit model.
11 We also use a Tobit model to take into account the high fraction of zeros in our dependent variable.
In the second stage analysis, we estimated the effect of ownership on the efficiency of hospitals using a Tobit regression model.
Since the level of CAC was not measurable for the majority of subjects, the associations with the quantitative levels of CAC were assessed using a Tobit regression model [ 8].
Second, we study differences in the savings rates between migrants and natives using a (Tobit) nonlinear decomposition model as an extension of the original Blinder-Oaxaca decomposition, following the similar methodology proposed by Bauer and Sinning (2010).
More suggestions(15)
using a subscription model
using a crowdfunding model
using a mixture model
using a computer model
using a canine model
using a metapopulation model
using a tobit regression
using a tobit efficiency
using a mouse model
using a simulation model
using a tobit procedure
using a freemium model
using a propensity model
using a compartment model
using a rat model
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