stata连享会

Stata新命令 prodest:不再畏惧生产函数!

2018-06-26  本文已影响600人  stata连享会

Source: Github - GabrieleRovigatti / prodest

Stata连享会 精彩推文1 || 精彩推文2

prodest

Stata and R packages for Production Function Estimation.

prodest in Stata (Mollisi et al., 2017) is available on the SSC archive - type ssc install prodest to install the latest stable version.

prodest in R (Rovigatti, 2017) is available on the CRAN - type install.packages("prodest") to install the latest stable version.

The packages implement most of the methods for production function estimation. The R prodest package provides functions to estimate the productivity, state and free variables parameters. Full description of the models, their issues and characteristics is available on both the packages' documentation and the relative working papers.

Please cite prodest in publications:

Mollisi, V. and Rovigatti, G. (2017). Theory and Practice of TFP Estimation: The Control Function Approach Using Stata. CEIS working paper no. 399

Rovigatti, G. (2017).
prodest: Production Function Estimation in R.
R package.

Rovigatti, G. (2017).
Production Function Estimation in R: The prodest Package.
Working paper.

关于我们

Stata连享会 精彩推文1 || 精彩推文2

联系我们

往期精彩推文

Stata连享会推文列表

Stata连享会 精彩推文1 || 精彩推文2


欢迎加入Stata连享会(公众号: StataChina)
上一篇 下一篇

猜你喜欢

热点阅读