R: Production Function Estimation

# Production Function Estimation

## Documentation for package ‘prodest’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

block.boot.resample | Cluster Bootstrap Resampling
checkM | Change input to matrix
checkMD | Change dummy input to dummy matrix
chilean | Data: Chilean firm-level production data 1986-1996
coef | Print the estimated parameters
coef-method | Print the estimated parameters
finalACF | ACF estimation routine
finalOPLP | OP and LP estimation routine
FSres | Generate the vector of the first stage residuals
FSres-method | Generate the vector of the first stage residuals
gACF | ACF Second Stage - GMM estimation
gOPLP | OP and LP Second Stage - GMM estimation
lagPanel | Generate lagged input variables
omega | Generate the omega estimates
omega-method | Generate the omega estimates
panelSim | Simulate Panel dataset
printProd | Print output - prod objects
prod | Class for Prodest Fitted object
prod-class | Class for Prodest Fitted object
prodestACF | Estimate productivity - Ackerberg-Caves-Frazer correction
prodestLP | Estimate productivity - Levinsohn-Petrin method
prodestOP | Estimate productivity - Olley-Pakes method
prodestROB | Estimate productivity - Robinson-Wooldridge method
prodestWRDG | Estimate productivity - IV Wooldridge method
prodestWRDG_GMM | Estimate productivity - Wooldridge method
show | Print a table with parameter estimates
show-method | Print a table with parameter estimates
summary | Print a table with a summary of results
summary-method | Print a table with a summary of results
weightM | Generate optimal GMM weighting matrix
withinvar | Generate the variance of the demeaned variable