| 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 |
| finalACF | ACF estimation routine |
| finalOPLP | OP and LP estimation routine |
| gACF | ACF Second Stage - GMM estimation |
| gOPLP | OP and LP Second Stage - GMM estimation |
| lagPanel | Generate lagged input variables |
| method-coef | Print the estimated parameters |
| method-FSres | Generate the vector of the first stage residuals |
| method-omega | Generate the omega estimates |
| method-show | Print a table with parameter estimates |
| method-summary | Print a table with a summary of results |
| panelSim | Simulate Panel dataset |
| printProd | Print output - prod objects |
| 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 |
| weightM | Generate optimal GMM weighting matrix |
| withinvar | Generate the variance of the demeaned variable |
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