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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/tree/master/prodest'.

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.

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Install

install.packages('prodest')

Monthly Downloads

368

Version

1.0.1

License

GPL-3

Issues

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Stars

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Maintainer

Gabriele Rovigatti

Last Published

June 19th, 2018

Functions in prodest (1.0.1)

gACF

ACF Second Stage - GMM estimation
panelSim

Simulate Panel dataset
printProd

Print output - prod objects
coef

Print the estimated parameters
show

Print a table with parameter estimates
omega

Generate the omega estimates
summary

Print a table with a summary of results
withinvar

Generate the variance of the demeaned variable
finalACF

ACF estimation routine
finalOPLP

OP and LP estimation routine
prodestWRDG_GMM

Estimate productivity - Wooldridge method
weightM

Generate optimal GMM weighting matrix
prodestACF

Estimate productivity - Ackerberg-Caves-Frazer correction
prod

Class for Prodest Fitted object
block.boot.resample

Cluster Bootstrap Resampling
FSres

Generate the vector of the first stage residuals
checkMD

Change dummy input to dummy matrix
lagPanel

Generate lagged input variables
checkM

Change input to matrix
prodestLP

Estimate productivity - Levinsohn-Petrin method
prodestOP

Estimate productivity - Olley-Pakes method
chilean

Data: Chilean firm-level production data 1986-1996
gOPLP

OP and LP Second Stage - GMM estimation
prodestROB

Estimate productivity - Robinson-Wooldridge method
prodestWRDG

Estimate productivity - IV Wooldridge method