ssfa (1.1)

0 users

Spatial Stochastic Frontier Analysis.

http://cran.r-project.org/web/packages/ssfa

Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.

Maintainer: Elisa Fusco
Author(s): Elisa Fusco, Francesco Vidoli

License: GPL-3

Uses: Matrix, maxLik, sp, spdep, R.rsp

Released almost 2 years ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of ssfa yet. Want to be the first? Write one now.


Related packages: BMA, CDNmoney, Ecdat, Hmisc, MNP, MSBVAR, Matrix, SparseM, VGAM, Zelig, aod, bayesm, betareg, boot, bootstrap, car, dynlm, effects, fxregime, gam(20 best matches, based on common tags.)


Search for ssfa on google, google scholar, r-help, r-devel.

Visit ssfa on R Graphical Manual.