This example shows how to use multiple time series IDs to retrieve the average balance of payment basis data for the exports (BOPXGS) and imports (BOPMGS) of goods and services for the last 15 years, starting 1997-01-01 and ending 2011-01-01, with an annual frequency.
title 'Retrieve Balance of Payment Data for the Exports and Imports'; libname _all_ clear; libname fred sasefred "%sysget(FRED)" OUTXML=fredex01 AUTOMAP=replace MAPREF=MyMap XMLMAP="%sysget(FRED)fredex01.map" APIKEY='XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' IDLIST='bopxgs,bopmgs' START='1997-01-01' END='2011-01-01' FREQ='a' OUTPUT=1 AGG='avg' FORMAT=xml; data export_import; set fred.fredex01 ; run;
proc contents data=export_import; run; proc print data=export_import; run;
Output 48.1.1: Retrieve Balance of Payment Data for the Exports and Imports
Retrieve Balance of Payment Data for the Exports and Imports |
Obs | date | realtime_start | realtime_end | BOPXGS | BOPMGS |
---|---|---|---|---|---|
1 | 1997-01-01 | 2015-03-19 | 2015-03-19 | 233.614 | -260.682 |
2 | 1998-01-01 | 2015-03-19 | 2015-03-19 | 233.293 | -274.829 |
3 | 1999-01-01 | 2015-03-19 | 2015-03-19 | 241.824 | -306.479 |
4 | 2000-01-01 | 2015-03-19 | 2015-03-19 | 268.064 | -361.193 |
5 | 2001-01-01 | 2015-03-19 | 2015-03-19 | 250.634 | -341.011 |
6 | 2002-01-01 | 2015-03-19 | 2015-03-19 | 243.652 | -348.391 |
7 | 2003-01-01 | 2015-03-19 | 2015-03-19 | 254.367 | -377.839 |
8 | 2004-01-01 | 2015-03-19 | 2015-03-19 | 289.490 | -441.961 |
9 | 2005-01-01 | 2015-03-19 | 2015-03-19 | 320.775 | -499.336 |
10 | 2006-01-01 | 2015-03-19 | 2015-03-19 | 363.212 | -553.641 |
11 | 2007-01-01 | 2015-03-19 | 2015-03-19 | 412.059 | -588.403 |
12 | 2008-01-01 | 2015-03-19 | 2015-03-19 | 458.632 | -635.814 |
13 | 2009-01-01 | 2015-03-19 | 2015-03-19 | 393.685 | -489.628 |
14 | 2010-01-01 | 2015-03-19 | 2015-03-19 | 462.232 | -585.896 |
15 | 2011-01-01 | 2015-03-19 | 2015-03-19 | 530.359 | -667.515 |