| bootstrap_F1 | R Documentation | 
Bootstrap test for threshold effect following Hansen (1999, JOE)
bootstrap_F1( X, Y, n_bootstrap = 500, q_lower = 0.05, q_upper = 0.95, n_grid = 180 )
| X | Panel data for x. Assumes that each row is an individual and each column is a time period. | 
| Y | Panel data for y. Assumes that each row is an individual and each column is a time period. | 
| n_bootstrap | Number of bootstrap draws | 
| q_lower | Quantile of x above which we will search for the threshold | 
| q_upper | Quantile of of x below which we will search for the threshold | 
| n_grid | Number of grid points between  | 
List with bootstrap results:
gamma_hat Estimated threshold location
gamma_seq Grid of values considered for threshold location
S0 Sum of squared residuals for restricted model with no threshold
coef0 Estimated regression coefficients for restricted model with no
e_tilde Residuals from the restricted model with no threshold
threshold
e_gamma_hat Residuals for threshold model with gamma set equal to
gamma_hat
S1_gamma_hat Sum of squared residuals for threshold model with gamma
set equal to gamma_hat
S1 Vector corresponding to gamma_seq. Each element is the sum of squared
residuals for a thresdhold model with that particular value of gamma.
F1 Value of the F-test statistic for the input dataset
F1_boot Vector of values for F-test statistic in each of the
bootstrap samples
pvalue Bootstrap p-value for test of the null hypothesis that there is no
threshold, calculated from F1 and F1_boot
n_i Number of individuals in the panel
n_T Number of time periods in the panel
test_data <- dgp_threshold() results <- bootstrap_F1(test_data$X, test_data$Y)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.