On Bootstrapping Two-Stage Least-Squares Estimates in Stationary Linear Models
Freedman, D.
Ann. Statist., Tome 12 (1984) no. 1, p. 827-842 / Harvested from Project Euclid
For models similar to those used in econometric work, under suitable regularity conditions, the bootstrap is shown to give asymptotically valid approximations to the distribution of errors in coefficient estimates.
Publié le : 1984-09-14
Classification:  Regression,  standard errors,  two-stage least squares,  bootstrap,  linear models,  62J05,  62E20
@article{1176346705,
     author = {Freedman, D.},
     title = {On Bootstrapping Two-Stage Least-Squares Estimates in Stationary Linear Models},
     journal = {Ann. Statist.},
     volume = {12},
     number = {1},
     year = {1984},
     pages = { 827-842},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176346705}
}
Freedman, D. On Bootstrapping Two-Stage Least-Squares Estimates in Stationary Linear Models. Ann. Statist., Tome 12 (1984) no. 1, pp.  827-842. http://gdmltest.u-ga.fr/item/1176346705/