Production Function Estimation

Implements the methods proposed by Olley, G.S. and Pakes, A. (1996) , Levinsohn, J. and Petrin, A. (2003) , Ackerberg, D.A. and Caves, K. and Frazer, G. (2015) and Wooldridge, J.M. (2009) for structural productivity estimation .

Production Function Estimation in R

prodest ([Rovigatti, 2017]) implements most of the methods for production function estimation. The prodest package provides functions to simulate panel data, estimate the productivity, state and free variables parameters. Full description of the models, their issues and characteristics is available in Mollisi et al., 2017.

The latest stable version of prodest is available at ''.

The latest development version of prodest is available at ''.

Please cite prodest in publications:

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

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


Changes in Version 1.0.1

o changed prodestWRDG - implemented the IV version

o added the prodestROB model

o added the 'screen' option to printProd()

o added the 'exit' option to prodestOP and prodestLP

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.1 by Gabriele Rovigatti, a year ago

Report a bug at

Browse source code at

Authors: Gabriele Rovigatti [aut,cre]

Documentation:   PDF Manual  

GPL-3 license

Imports Rsolnp, DEoptim, AER

Depends on dplyr, parallel, Matrix, methods

Suggests testthat

See at CRAN