Speaker: Professor Russell Davidson
Affiliation: McGill University & Aix‐Marseille University
Location: Room 262, Steele Building (#3), UQ St Lucia Campus
Abstract
The fast double bootstrap can improve considerably on the single bootstrap when the bootstrapped statistic is approximately independent of the bootstrap DGP. This is because, among the approximations that underlie the fast double bootstrap (FDB), is the assumption of such independence. In this paper, use is made of a discrete formulation of bootstrapping in order to develop a conditional version of the FDB, which makes use of the joint distribution of a statistic and its bootstrap counterpart, rather than the full joint distribution of the statistic and the bootstrap data-generating process (DGP), which is available only by means of a simulation as costly as the full double bootstrap. Simulation evidence shows that the conditional FDB can greatly improve on the performance of the FDB when the statistic and the bootstrap DGP are far from independent, while giving similar results in cases of near independence.
About the presenter's visit
If you would like to meet with Prof Davidson contact: Dr Christiern Rose.
About School Seminar Series
The School of Economics General Seminar Series is held on Fridays. These are in-person and presented by a range of guest researchers from around Australia and internationally.