To study whether foreign aid fuels personal, regional and ethnic favoritism, we use satellite data on nighttime light for any region in any aid-recipient country, and we determine for each year and each country the region in which the current political leader was born. Having a panel with 22,850 regions in 91 aid recipient countries with yearly observations from 1992 to 2005, we compare the eff...

We explore the consequences of international trade in an economy that encompasses technology choice and an endogenous distribution of mark-ups due to credit market frictions. We show that in such an environment a gradual opening of trade may —but not necessarily must —have a negative impact on productivity and overall output. The reason is that the pro-competitive effects of trade reduce mark-u...

Data envelopment analysis (DEA) is a nonstochastic and nonparametric linear programming technique where a set of units are evaluated according to their input consumption and output production (Charnes et al. (1978)). Given that DEA efficiency analysis can be influenced by the presence of outliers, Banker and Chang (2006) proposed a method to detect atypical units through the super-efficiency mo...

the cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. one of the most important shortcoming of this method is existing alternative optimal solution and therefore, the efficiency scores are not unique. we are going to summarize the pervious models proposed by researchers and suggest an alternative secondary goal approach...

data envelopment analysis (dea) has been long employed as a popular methodology to evaluate the performance of various production activities with multiple inputs and outputs. however, an important issue is that the production process in the real world inevitably generates undesirable outputs (like wastes and pollutants) along with desirable outputs. therefore, the undesirable outputs should be ...

data envelopment analysis (dea) is a method used for measuring the efficiency of decision-making units‎. unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producin...

background: assessment of hospitals’ performance in achieving its goals is a basic necessity. measuring the efficiency of hospitals in order to boost resource productivity in healthcare organizations is extremely important. the aim of this study was to measure technical efficiency and determining status of resource allocation in some university hospitals, in tehran, iran.   methods : this study...

one of the important issues in data envelopment analysis (dea) is sensitivity analysis. heretofore the existent studies have considered the data modification of inputs and outputs in one or multiple dmus. in this paper the number of dmus is increased and a stability region is obtained in  by applying defining hyperplanes in which if the added dmu (only one dmu) is in this region then all of the...

The paper is devoted to the problem of generating artificial datasets for data envelopment analysis (DEA), which can be used testing DEA models and methods. In particular, papers that applied big often synthetic generation obtain large-scale because real large size, available in public domain, are extremely rare. This proposes algorithm takes as input some dataset complements it by efficient in...