Abstract Details
	
		
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						| Activity Number: | 24 |  
						| Type: | Topic Contributed |  
						| Date/Time: | Sunday, August 4, 2013 : 2:00 PM to 3:50 PM |  
						| Sponsor: | Business and Economic Statistics Section |  
						| Abstract - #308138 |  
						| Title: | Comparing Automatic Modeling Procedures for TRAMO+ and X-13ARIMA-SEATS |  
					| Author(s): | Brian C. Monsell*+ |  
					| Companies: | U.S. Census Bureau |  
					| Keywords: | ARIMA models ; 
							simulation ; 
							unit roots ; 
							likelihood statistics ; 
							automatic model selection |  
					| Abstract: | 
							The Census Bureau's X-13ARIMA-SEATS seasonal adjustment and modeling software  has long had an implementation of an automatic model identification procedure  first developed by Victor Gomez and Augostin Maravall in the TRAMO time series  modeling software of the Bank of Spain. Recently, the Bank of Spain developed  and released a new version of the TRAMO software called TRAMO+ with an updated  model identification procedure. This paper will apply the two methods on a  number of simulated series generated from various ARIMA models to determine  if the automatic model identification procedure in TRAMO+ gives improved  results over what is currently in X-13ARIMA-SEATS.     
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