EconPapers    
Economics at your fingertips  
 

A Monte Carlo study on the estimation method of quarterly GDP(in Japanese)

Takashi Omori

ESRI Discussion paper series from Economic and Social Research Institute (ESRI)

Abstract: As a part of the study towards an improved methodology for current estimation of quarterly GDP, a Monte Carlo analysis on the methods of distribution and extrapolation is executed, taking an explicit account of the statistical situation in Japan. The performance of estimation methods is shown to depend on the nature of the quarterly and annual statistics. Although the selection of desirable method naturally depends on the criterion, the simple traditional method is found reasonable from a mini-max point of view. Pros and cons of applying mathematical methods are also discussed.

Pages: 48 pages
Date: 2002-05
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.esri.go.jp/jp/archive/e_dis/e_dis013/e_dis013a.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.esri.go.jp:80 (No such host is known. )

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:esj:esridp:013

Access Statistics for this paper

More papers in ESRI Discussion paper series from Economic and Social Research Institute (ESRI) Contact information at EDIRC.
Bibliographic data for series maintained by HORI nobuko ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-30
Handle: RePEc:esj:esridp:013