I'd like to try some of the examples in "simulation models for business planning and economic forecasting" ( https://support.sas.com/rnd/app/ets/papers/simulationmodels.pdf ). Does anybody know where to find the sales-toaster-data?
Hi @user24feb, I contacted the author of the paper and was told it's fake data. But he did provide the code. Hope it helps.
Thanks,
Shelley
data toast;
tsales =870;
fs_sales =470;
fs_price =10;
gnp = 0.5;
price = 10.1;
do t=1 to 50;
month = t;
price = price * 0.8 + 1.5 * rannor(52) + 1.5;
fs_price = 0.7 * fs_price + 15.1 + 5 * rannor(5);
bprice = 0.1 + 0.01 * rannor(2);
gnp = 0.8 * gnp + 0.7 *rannor(156) + 1;
nwed = 4 * sin(t/5) + 25 + 3*rannor(644);
tsales = 0.91 *tsales - 18.5 * price ** 1.2 +
13 *nwed + 10 * gnp + 30;
fs_sales = 0.9 * fs_sales - fs_price ** 0.5 +
18 * gnp + 50 ;
if t >= 15 and t < 20 then tsales = tsales + 250;
if t >= 35 and t < 40 then tsales = tsales + 290;
if t >= 15 and t < 20 then fs_sales = fs_sales + 150;
if t >= 35 and t < 40 then fs_sales = fs_sales + 190;
ad_cost =0;
if t >= 15 and t < 20 then ad_cost = 5000;
if t >= 35 and t < 40 then ad_cost = 8000;
tsales = (tsales - 0.01 * fs_sales) /0.9995;
fs_sales = fs_sales - 0.015 * tsales;
tsales = tsales + 20*rannor(7);
fs_sales = fs_sales + 8*rannor(66);
output;
end;
run;
title height=4 'Monthly Toaster Sales';
proc gplot data=toast;
axis1 value=(height=3) label=(height=3 'Months');
axis2 value=(height=3) label=(height=3 'TSales');
plot tsales*month / haxis=axis1 vaxis=axis2;
symbol1 width=2 i=join ;
run;
Hi @user24feb, I contacted the author of the paper and was told it's fake data. But he did provide the code. Hope it helps.
Thanks,
Shelley
data toast;
tsales =870;
fs_sales =470;
fs_price =10;
gnp = 0.5;
price = 10.1;
do t=1 to 50;
month = t;
price = price * 0.8 + 1.5 * rannor(52) + 1.5;
fs_price = 0.7 * fs_price + 15.1 + 5 * rannor(5);
bprice = 0.1 + 0.01 * rannor(2);
gnp = 0.8 * gnp + 0.7 *rannor(156) + 1;
nwed = 4 * sin(t/5) + 25 + 3*rannor(644);
tsales = 0.91 *tsales - 18.5 * price ** 1.2 +
13 *nwed + 10 * gnp + 30;
fs_sales = 0.9 * fs_sales - fs_price ** 0.5 +
18 * gnp + 50 ;
if t >= 15 and t < 20 then tsales = tsales + 250;
if t >= 35 and t < 40 then tsales = tsales + 290;
if t >= 15 and t < 20 then fs_sales = fs_sales + 150;
if t >= 35 and t < 40 then fs_sales = fs_sales + 190;
ad_cost =0;
if t >= 15 and t < 20 then ad_cost = 5000;
if t >= 35 and t < 40 then ad_cost = 8000;
tsales = (tsales - 0.01 * fs_sales) /0.9995;
fs_sales = fs_sales - 0.015 * tsales;
tsales = tsales + 20*rannor(7);
fs_sales = fs_sales + 8*rannor(66);
output;
end;
run;
title height=4 'Monthly Toaster Sales';
proc gplot data=toast;
axis1 value=(height=3) label=(height=3 'Months');
axis2 value=(height=3) label=(height=3 'TSales');
plot tsales*month / haxis=axis1 vaxis=axis2;
symbol1 width=2 i=join ;
run;
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.
Find more tutorials on the SAS Users YouTube channel.