One of the difficult challenges facing management and researchers today is how to justify costly investments in information technology (IT). This paper presents an approach to investigating the effects of IT on technical efficiency in a firm’s production process through a two-stage analytical study with a firm-level data set. In the first stage, a nonparametric frontier method of data envelopme...

Studies investigating crash rates by roadway classification are few and far between and even more so if extended to focus on heavy vehicles. This study explores and compares two advanced econometric methods, random-parameter Tobit regression and latent class Tobit regression, to determine contributing factors for heavy vehicle crashes per million-vehicle-miles-traveled while accounting for the ...

cotton as a strategic product plays an important role inthe economy of boshrouyehwhere is known as the major cotton producing center of khorasan-e-jonoubi. in this paper, efficiency of boshroyeh cotton farms in 2007 have been calculated using data envelopment analysis (dea) and determinants of efficiency were identified using tobit regression analysis. the data was collected from questionnaires...

In this paper, Data Envelopment Analysis (DEA) and super efficient DEA (SE-DEA) are employed to measure the efficiency of Chinese commercial banks. Incorporating Tobit regression analysis, the determinants of banking efficiency are investigated based on Panel data. Overall, the DEA results show relatively low average efficiency levels and state-owned banks are more inefficient than that of join...

This paper identifies the efficiency-oriented critical drivers for e-market using a two-stage approach. The efficiency of twenty-six e-markets is investigated first with respect to their respective overall efficiency, technical efficiency and scale efficiency, leading to the identification of the fully efficient emarkets and the underlying source of inefficiency in the existing e-markets. The e...

BACKGROUND For several immune-mediated diseases, immunological analysis will become more complex in the future with datasets in which cytokine and gene expression data play a major role. These data have certain characteristics that require sophisticated statistical analysis such as strategies for non-normal distribution and censoring. Additionally, complex and multiple immunological relationshi...

This research develops a mixture regression model that is shown to have advantages over the classical Tobit model in model fit and predictive tests when data are generated from a two step process. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting the classic Tobit model. A simulated data set is utilized to assess the potential loss in efficien...

Variance-component (VC) methods are flexible and powerful procedures for the mapping of genes that influence quantitative traits. However, traditional VC methods make the critical assumption that the quantitative-trait data within a family either follow or can be transformed to follow a multivariate normal distribution. Violation of the multivariate normality assumption can occur if trait data ...

The paper undertakes a comparative efficiency analysis of public bus transport in Spain using Data Envelopment Analysis. A procedure for efficiency evaluation was established with a view to estimating its technical and scale efficiency. Principal components analysis allowed us to reduce a large number of potential measures of supplyand demand-side and quality outputs in three statistical factor...