finalOPLP: OP and LP estimation routine

In prodest: Production Function Estimation

Description

finalOPLP is the function linking the data cleaning part of the routine with the final function to be bootstrapped.

Usage

  finalOPLP(ind, data, fnum, snum, cnum, opt, theta0, boot, tol, att)

Arguments

ind	Vector of indices to reshuffle the data.

data	data.frame with the data to perform the estimation on.

fnum	Number of free variables.

snum	Number of state variables.

cnum	Number of control variables.

opt	String with the optimizer.

theta0

Vector of starting points.

boot	Binary indicator for the estimation routine being the baseline estimation or a bootstrap repetition.

tol	Optimization tolerance set.

att	Indicator for attrition in the data - i.e., if firms exit the market.

Details

finalOPLP() accepts at 9 inputs: a vector of reshuffled indices, the data.frame with the data, the number of free, state and control variables, the starting points, the optimizer, an indicator for bootstrapped repetitions and the optimization tolerance. It collects the results of gACF() function - baseline and bootstrapped - calculates the standard errors and stores all in a prod object.

Author(s)

Gabriele Rovigatti

prodest documentation built on May 2, 2019, 8:34 a.m.