• LIMDEP

  • Referenced in 77 articles [sw04925]
  • integrated statistical package for estimation and analysis of linear and nonlinear models, with cross section ... techniques in panel data analysis, frontier and efficiency estimation and discrete choice modeling. The collection ... estimators for all forms of the linear regression model, and stochastic frontier, discrete choice...
  • frontier

  • Referenced in 25 articles [sw11127]
  • Stochastic Frontier Analysis. Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications...
  • FRONTIER

  • Referenced in 10 articles [sw25123]
  • This page describes the computer program FRONTIER Version 4.1 which was written by Tim Coelli ... program is used to obtain maximum likelihood estimates of the parameters ... variety of stochastic production and cost frontiers, and estimates of mean and individual technical...
  • FLS

  • Referenced in 6 articles [sw24350]
  • collection of all coefficient sequences estimates which yield vector- minimal sums of squared residual measurement ... observations - i.e. which attain the “residual efficiency frontier”. A user-friendly FORTRAN program ... available for generating the frontier estimates...
  • npsf

  • Referenced in 2 articles [sw35585]
  • measurement and statistical inference via DEA type estimators (see Färe, Grosskopf, and Lovell ... /01605682.2019.1599778>) as well as Stochastic Frontier estimators for both cross-sectional data ... /j.ejor.2016.04.049>). The stochastic frontier estimators can handle both half-normal and truncated normal models with...
  • semsfa

  • Referenced in 2 articles [sw33881]
  • package semsfa: Semiparametric Estimation of Stochastic Frontier Models. Semiparametric Estimation of Stochastic Frontier Models following ... step variance parameters are obtained by pseudolikelihood estimators or by method of moments...
  • sfkk

  • Referenced in 1 article [sw37428]
  • command for fitting endogenous stochastic frontier models. sfkk provides estimators for the parameters ... sfkk can handle endogenous variables in the frontier or the inefficiency ... sfkk estimates outperform the standard frontier estimates that ignore endogeneity...
  • pyStoNED

  • Referenced in 1 article [sw40063]
  • Python Package for Convex Regression and Frontier Estimation. Shape-constrained nonparametric regression is a growing ... illustrates its application, focusing on the estimation of frontier cost and production functions...
  • spfrontier

  • Referenced in 3 articles [sw25124]
  • spfrontier: Spatial Stochastic Frontier Models. A set of tools for estimation of various spatial specifications...
  • sfaR

  • Referenced in 1 article [sw40065]
  • Analysis using R. Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit...
  • FEAR

  • Referenced in 20 articles [sw08264]
  • FEAR: Frontier Efficiency Analysis with R. FEAR consists of a software library that ... user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while...
  • SFAMB

  • Referenced in 1 article [sw25122]
  • Stochastic Frontier Analysis Using SFAMB for Ox. SFAMB is a flexible ... econometric tool designed for the estimation of stochastic frontier models. Ox is a matrix language...
  • orderalpha

  • Referenced in 1 article [sw37465]
  • measurement errors. However, recently, so-called partial frontier approaches—namely order-m (Cazals, Florens ... located beyond the estimated production- possibility frontier. Although these methods are purely nonparametric too, sensitivity...
  • sfcount

  • Referenced in 0 articles [sw37603]
  • count-data stochastic frontier models. Although originally designed to estimate production and production-cost functions...
  • MatchingFrontier

  • Referenced in 1 article [sw23426]
  • MatchingFrontier: Computation of the Balance - Sample Size Frontier in Matching Methods for Causal Inference. Returns ... possible imbalance. Also includes tools for the estimation of causal effects for each subset size...
  • ADOL-C

  • Referenced in 247 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • BSFM

  • Referenced in 2 articles [sw00093]
  • BSFM: a computer program for Bayesian stochastic frontier...
  • DEA

  • Referenced in 245 articles [sw00194]
  • Data Envelopment Analysis (DEA) is becoming an increasingly...
  • KNITRO

  • Referenced in 191 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...