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.


prodest

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 'https://CRAN.R-project.org/package=prodest'.

The latest development version of prodest is available at 'https://github.com/GabrieleRovigatti/prodest'.

Please cite prodest in publications:

Rovigatti, G. (2026).
prodest: Production Function Estimation.
R package version 1.0.2.

Rovigatti, G. (2017).
Production Function Estimation in R: The prodest Package.
Journal of Open Source Software, 2(18), 371.
https://doi.org/10.21105/joss.00371

Reference manual

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install.packages("prodest")

1.0.2 by Gabriele Rovigatti, a month ago


https://github.com/GabrieleRovigatti/prodest


Report a bug at https://github.com/GabrieleRovigatti/prodest/issues


Browse source code at https://github.com/cran/prodest


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