% PURPOSE: demo of chowlin() % Temporal disaggregation with indicators. % Chow-Lin method %--------------------------------------------------- % USAGE: chowlin_d %--------------------------------------------------- close all; clear all; clc; % Low-frequency data: Spain's Exports of Goods. 1995 prices Y=[ 20499 23477 25058 27708 31584 31898 30233 32235 34049 36035 39795 44299 47426 52339 62949 69885 77174 90133 96496 102776 113026 115573 ]; % High-frequency data: Spain's Registered exports of goods deflated by % unit value index. x=[ 5162 5054 4049 5196 4972 5606 5844 6196 6526 5671 5631 6510 6575 6797 5973 6796 8404 8260 7058 7403 7934 7762 7087 8659 7471 8082 6700 8117 8271 8336 7698 8372 9120 8911 8035 8613 9725 9529 7774 9295 10357 10372 9056 10812 11989 11839 9686 11736 12878 12211 10278 12321 13267 12973 11268 15008 16565 15641 13684 17254 18613 17774 14966 18543 19287 19399 17299 21065 20687 23215 21382 24935 24256 25558 21680 24951 25284 26149 23344 27754 28271 29835 26148 30917 30494 30486 26153 29930 ]; % --------------------------------------------- % Inputs for td library % Type of aggregation ta=1; % Frequency conversion s=4; % Method of estimation type=1; % Name of ASCII file for output file_sal='td.sal'; % Calling the function: output is loaded in a structure called res res=chowlin(Y,x,ta,s,type); % Calling printing function output=1; % Include series td_print(res,file_sal,output); edit td.sal; % Calling graph function td_plot(res);