% PURPOSE: demo of guerrero() % Temporal disaggregation with indicators. % Guerrero ARIMA-based method %--------------------------------------------------- % USAGE: guerrero_d %--------------------------------------------------- clear all; clc; close all; % ------------------------------------------------------------ % LOW FREQUENCY DATA % Mexico. Real Gross Domestic Prices (GDP) % Sample: 1983-1987 % Unit: Millions of Pesos at the 1980 value % Source: Guerrero, V. (1990) "Temporal disaggregation of time % series: an ARIMA-based approach", International Statistical % Review, vol. 58, p. 44-45. Y=[ 4628937 4796050 4919905 4725277 4792936 ]; % ------------------------------------------------------------ % HIGH FREQUENCY DATA % Mexico. Index of Volume of Industrial Production (IVIP) % Sample: 1983.01-1987.12 % Unit: Index 1980=100 % Source: Guerrero, V. (1990) "Temporal disaggregation of time % series: an ARIMA-based approach", International Statistical % Review, vol. 58, p. 44-45. x=[ 97.992 93.731 99.788 99.304 97.985 94.682 94.196 95.821 91.800 96.030 95.966 95.088 98.273 101.175 106.182 97.956 103.094 102.468 102.639 102.635 100.906 105.465 104.152 102.896 107.367 106.784 112.865 107.493 109.264 106.387 108.623 106.619 104.466 109.970 107.403 105.975 106.016 106.163 104.836 110.173 108.094 101.333 100.735 99.130 95.123 100.345 99.287 99.771 100.125 99.382 108.456 104.377 108.642 106.483 105.441 106.918 107.337 110.721 111.617 112.003 ]; % --------------------------------------------- % Inputs for td library % Type of aggregation ta=1; % Frequency conversion s=12; % Model for w: (0,1,1)(1,0,1) rexw.ar_reg = [1]; rexw.d = 1; rexw.ma_reg = [1 -0.40]; rexw.ar_sea = [1 0 0 0 0 0 0 0 0 0 0 0 -0.85]; rexw.bd = 0; rexw.ma_sea = [1 0 0 0 0 0 0 0 0 0 0 0 -0.79]; rexw.sigma = 4968.716^2; % Model for the discrepancy: (1,2,0)(1,0,0) % See: Martinez and Guerrero, 1995, Test, 4(2), 359-76. rexd.ar_reg = [1 -0.43]; rexd.d = 2; rexd.ma_reg = [1]; rexd.ar_sea = [1 0 0 0 0 0 0 0 0 0 0 0 0.62]; rexd.bd = 0; rexd.ma_sea = [1]; rexd.sigma = 76.95^2; % Calling the function: output is loaded in a structure called res res=guerrero(Y,x,ta,s,rexw,rexd); % Calling printing function % Name of ASCII file for output file_sal='guerrero.sal'; output=0; % Do not include series % Note: if the Econometric Toolbox is not available, change the % next line by the followig (output related to ARIMA models is % missed): % td_print(res,file_sal,output); td_print_G(res,file_sal,output); edit guerrero.sal; % Calling graph function %td_plot(res);