dc.contributor | Escolas::EPGE | |
dc.contributor | FGV | |
dc.creator | Moreira, Marcelo J. | |
dc.creator | Porter, Jack R. | |
dc.creator | Suarez, Gustavo A. | |
dc.date.accessioned | 2018-10-25T18:23:47Z | |
dc.date.available | 2018-10-25T18:23:47Z | |
dc.date.created | 2018-10-25T18:23:47Z | |
dc.date.issued | 2009 | |
dc.identifier | 0304-4076 | |
dc.identifier | http://hdl.handle.net/10438/25348 | |
dc.identifier | 10.1016/j.jeconom.2008.10.008 | |
dc.identifier | 2-s2.0-63149101495 | |
dc.description.abstract | It is well-known that size adjustments based on bootstrapping the t-statistic perform poorly when instruments are weakly correlated with the endogenous explanatory variable. In this paper, we provide a theoretical proof that guarantees the validity of the bootstrap for the score statistic. This theory does not follow from standard results, since the score statistic is not a smooth function of sample means and some parameters are not consistently estimable when the instruments are uncorrelated with the explanatory variable. © 2008 Elsevier B.V. | |
dc.language | eng | |
dc.relation | Journal of Econometrics | |
dc.rights | restrictedAccess | |
dc.source | Scopus | |
dc.subject | Bootstrap | |
dc.subject | Edgeworth expansion | |
dc.subject | Identification | |
dc.subject | Instrumental variable regression | |
dc.subject | Non-regular case | |
dc.subject | Score statistic | |
dc.subject | T-statistic | |
dc.subject | Statistics | |
dc.title | Bootstrap validity for the score test when instruments may be weak | |
dc.type | Article (Journal/Review) | |