test.point_Bei: Perform the test of Bei (2024) for a given point

Description

This function performs the unconditional moment restriction test as described in Bei (2024).

Usage

test.point_Bei(
  r,
  c,
  t,
  par.space,
  data,
  hp,
  verbose = FALSE,
  inst.func.evals = NULL,
  alpha = 0.95,
  parallel = FALSE
)

Arguments

r: Result of the projection for which the test should be carried out.
c: The projection matrix. For now, c is restricted to being an elementary vector, i.e. c = (0, ...,0, 1, 0, ..., 0).
t: The time point at which to evaluate theta.
par.space: Matrix containing 2 columns and \(d_\theta\) rows, where \(d_\theta\) is the dimension of the parameter space. The first column represents the lower left corner of the parameter space, the second column represents the upper right corner. At least for the time being, only rectangular parameter spaces are allowed.
data: Data frame on which to base the test.
hp: List of hyperparameters needed.
verbose: Boolean variable indicating whether to print updates of the estimation process to the console.
inst.func.evals: Matrix of precomputed instrumental function evaluations for each observation in the data set. Used to speed up the simulations. If NULL, the evaluations will be computed during execution of this function. Default is inst.func.evals = NULL.
alpha: The significance level at which to perform the test. Default is alpha = 0.95.
parallel: Flag for whether or not parallel computing should be used. Default is parallel = FALSE.

References

Bei, X. (2024). Local linearization based subvector inference in moment inequality models. Journal of Econometrics, 238(1), 105549-. https://doi.org/10.1016/j.jeconom.2023.10554