Production Function Estimation


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Documentation for package ‘prodest’ version 1.0.1

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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