different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …

bootstrap algorithm to implement the proposed test and show its asymptotic validity. The proposed test procedure can apply to …

In an attempt to free bootstrap theory from the shackles of asymptotic considerations, this paper studies the … possibility of justifying, or validating, the bootstrap, not by letting the sample size tend to infinity, but by considering the … sequence of bootstrap P values obtained by iterating the bootstrap. The main idea of the paper is that, if this sequence …

There are many bootstrap methods that can be used for econometric analysis. In certain circumstances, such as … regression models with independent and identically distributed error terms, appropriately chosen bootstrap methods generally work … very well. However, there are many other cases, such as regression models with dependent errors, in which bootstrap methods …

requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade …, which could be extended to test almost any hypothesis in bootstrap DEA. Moreover, it enhances the intuition behind bootstrap …

bootstrap algorithm to implement the proposed test and show its asymptotic validity. The proposed test procedure can apply to …

In an attempt to free bootstrap theory from the shackles of asymptotic considerations, this paper studies the … possibility of justifying, or validating, the bootstrap, not by letting the sample size tend to infinity, but by considering the … sequence of bootstrap P values obtained by iterating the bootstrap. The main idea of the paper is that, if this sequence …