boot_stat {RationalExp}R Documentation

Compute the bootstrap test statistic for parallel implementation

Description

This is an internal function to separately compute the bootsrap test statsitic.

Usage

boot_stat(u, Y_tilde, X, D, epsilon, N3, p, prec, N, sample_mat,
  generalized, weights, y_grid, phi_n, M_bar, DX)

Arguments

u

bootstrap index;

Y_tilde

the vector stacking the realisations y then the anticipated values psi of respective sizes n_y and n_p.

X

the matrix of covariates. Set to a vector of 1 by default (in which case the test without covariates is performed).

D

the vector stacking the dummies for the dataset of realisation : n_y ones then n_p zeros

epsilon

the parameter epsilonon in Section 3 of DGM. Default value is 0.05.

N3

equals to N if covariates, to 1 other wise.

p

the parameter p in Section 3 of DGM. Default is 0.05.

prec

the number of points to be tested. Default is 30.

N

the total numeber of obs

sample_mat

matrix of bootrap indexes

generalized

"Add" if additive shocks for the generalized test

weights

survey weights

y_grid

the grid points. Default is quantile(Y_tilde,seq(0,1,length.out=30)).

phi_n

the GMS function in DGM

M_bar

the quantilty bar m in section 2 of DGM

DX

the total number of covariates

Details

By default, the test is implemented without covariates. To perform the test with covariates, one has to indicate in X a non-constant vector or matrix. Also, one can perform the « generalized » tests allowing for aggregate shocks by using the dummy variable generalized. Survey weights can be added. The user can modify the number of cores used by R to reduce the computational time. Tuning parameters used in the test can also be modified.


[Package RationalExp version 0.2.2 Index]