Learn R Programming

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

Copy Link

Version

Install

install.packages('prodest')

Monthly Downloads

266

Version

1.0.2

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Gabriele Rovigatti

Last Published

September 1st, 2026

Functions in prodest (1.0.2)

prodestWRDG

Estimate productivity - IV Wooldridge method
weightM

Generate optimal GMM weighting matrix
withinvar

Generate the variance of the demeaned variable
prodestWRDG_GMM

Estimate productivity - Wooldridge method
prodestROB

Estimate productivity - Robinson-Wooldridge method
checkMD

Change dummy input to dummy matrix
gOPLP

OP and LP Second Stage - GMM estimation
checkM

Change input to matrix
gACF

ACF Second Stage - GMM estimation
FSres

Generate the vector of the first stage residuals
lagPanel

Generate lagged input variables
finalOPLP

OP and LP estimation routine
block.boot.resample

Cluster Bootstrap Resampling
finalACF

ACF estimation routine
prodestLP

Estimate productivity - Levinsohn-Petrin method
show

Print a table with parameter estimates
panelSim

Simulate Panel dataset
chilean

Data: Chilean firm-level production data, 1996--2006
prodestOP

Estimate productivity - Olley-Pakes method
prodestACF

Estimate productivity - Ackerberg-Caves-Frazer correction
printProd

Print output - prod objects
coef

Print the estimated parameters
omega

Generate the omega estimates
prod

Class for Prodest Fitted object
summary

Print a table with a summary of results