📄 block_bootstrap.m
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function [bsdata, indexes]=block_bootstrap(data,w,B);
% PURPOSE:
% Implements a block bootstrap for bootstrapping stationary, dependant series
%
% USAGE:
% [bsdata, indexes]=block_bootstrap(data,w,B);
%
% INPUTS:
% data: T by 1 matrix of data to be bootstrapped(shoudl be unit root)
% w: Desired average windows length
% B: Number fo bootstraps
%
% OUTPUTS:
% bsdata: T x B matrix of bootstrapped data
% indexes: T by B matrix of location sof the original data(data(indexes)=bsdata;
%
% COMMENTS:
%
% Author: Kevin Sheppard
% kevin.sheppard@economics.ox.ac.uk
% Revision: 2 Date: 12/31/2001
[t,k]=size(data);
data=[data;data(1:w)];
s=ceil(t/w);
Bs=rand(s,B);
indexes=zeros(t,B);
index=1;
for i=1:t
if mod(i,w)==1
indexes(i,:)=ceil(Bs(index,:)*t);
index=index+1;
else
indexes(i,:)=indexes(i-1,:)+1;
end
end
bsdata=data(indexes);
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