Nonparametric Frontier Analysis Using Stata

Nonparametric frontier analysis with multiple constituencies

Abstract. We introduce a methodology for generalizing Data Envelopment Analysis to incorporate the role and impact of constituencies in the classification of the model’s attributes. Constituencies determine whether entities’ attributes in a DEA study are treated as desirable or undesirable. This extension of DEA is the basis for a methodology to answer questions that arise such as: Which consti...

Meta-analysis in Stata using gllamm.

There are several user-written programs for performing meta-analysis in Stata (Stata Statistical Software: College Station, TX: Stata Corp LP). These include metan, metareg, mvmeta, and glst. However, there are several cases for which these programs do not suffice. For instance, there is no software for performing univariate meta-analysis with correlated estimates, for multilevel or hierarchica...

A Handbook of Statistical Analysis Using Stata

Bayesian Analysis in Stata using WinBUGS

WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has very limited facilities for data handling while Stata has no routines for Bayesian analysis, and as a result there is a lot to be gained by running Stata and WinBUGS in combination. A set of ado files are presented that enable data to be processed in Stata, passed to WinBUGS for model fitting and the results read bac...

Ranking Decision-Making Units Using Double-Frontier Analysis ‎Approach

Data envelopment analysis is a nonparametric method for measuring the performance of a set of decision-making units (DMUs) that consume multiple inputs to produce multiple outputs. Using this approach, the performance of DMUs is measured from both optimistic and pessimistic views. However, their results are very misleading and even contradictory in many cases. Indisputably, different performanc...