This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction, the paper gives a description of the basics of the method, with a special emphasis on boostrap testing. A fairly large amount of space is devoted to discuss why bootstrap tests provide refinements compared to equivalent asymptotic tests. A series of recent different applications in the econometrics literature is then surveyed, in order to give a picture of this rapidly evolving research field
Bootstrap methods involve estimating a model many times using simulated data. Then quantities comput...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction,...
This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction,...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Aim of this thesis is to introduce the reader to the basic bootstrap techniques used in econometrics...
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capa...
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
Although it is common to refer to “the bootstrap, ” there are actually a great many different bootst...
Although it is common to refer to “the bootstrap, ” there are actually a great many different bootst...
This is the author accepted manuscript. The final version is available from Oxford University Press ...
Bootstrap methods involve estimating a model many times using simulated data. Then quantities comput...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction,...
This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction,...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Aim of this thesis is to introduce the reader to the basic bootstrap techniques used in econometrics...
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capa...
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
Although it is common to refer to “the bootstrap, ” there are actually a great many different bootst...
Although it is common to refer to “the bootstrap, ” there are actually a great many different bootst...
This is the author accepted manuscript. The final version is available from Oxford University Press ...
Bootstrap methods involve estimating a model many times using simulated data. Then quantities comput...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...