NDLI: The Best Stratification to Impute Missing Values of Turnover in Economic Surveys

Please wait, while we are loading the content...

The Best Stratification to Impute Missing Values of Turnover in Economic Surveys

Content Provider	Semantic Scholar
Author	Ito, Takayuki Abe, Yutaka Noro, Tatsuo
Copyright Year	2012
Abstract	Along with the trends in the Japanese official statistics, the Economic Census for Business Activity was conducted February 2012, for the first time in Japanese history. This survey aims to cover the enterprises and establishments in all of the Japanese industrial fields, in order to clarify the actual economic conditions across the nation as well as in each region; furthermore, its goal is to obtain population information on businesses. However, missing values and errors are frequently produced in such accounting items as turnover. The Economic Census will be used as basic economic data, so that it is important to get hold of information about all enterprises and establishments; thus, missing values must be imputed in one way or another. Nevertheless, the problem is how to impute missing values. One aspect of this problem is to evaluate the accuracy of imputation based on stratified data. In each stratum, the evaluation method is to compare the difference between the true values and the imputation of the missing values. By way of comparing these differences across several strata, our goal is to find the stratum with the smallest difference between the true values and the imputation of the missing values. Therefore, we experimented with two-industry datasets and found the best stratification in these industries. If the method is useful for others, it will be used for the Economic Census.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.nstac.go.jp/services/society_paper/25_04_03_Paper.pdf
Alternate Webpage(s)	http://2013.isiproceedings.org/Files/CPS102-P5-S.pdf
Alternate Webpage(s)	http://2013.isiproceedings.org/Files/CPS102-P5-A.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in