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이러닝수요부문 사업체실태조사를 위한 표본설계

A sampling design for e-learning industry status survey on the business demand sector

  • 김혜중 (동국대학교 통계학과) ;
  • 곽화륜 (동국대학교 통계정보기술연구소)
  • Kim, Hea-Jung (Department of Statistics, Dongguk University) ;
  • Kwak, Hwa-Ryun (Institute of Statistical Information and Technique, Dongguk University)
  • 투고 : 2013.05.10
  • 심사 : 2013.06.20
  • 발행 : 2013.07.31

초록

이러닝 (e-learning)산업통계는 이러닝산업 전반에 걸친 수요와 공급을 망라한 실태조사통계로 2004년 이후 정보통신산업진흥원에 의해 매년 발표되고 있다. 한국표준산업분류가 2008년 개정 (제9차)됨에 따라, 이러닝 수요부문의 사업체조사에 사용해온 표본설계 (종사자규모 산업분류별 층화추출)에 대한 개선이 필요하게 되었다. 본 논문은 사업체조사의 목표모집단을 개정된 한국표준산업분류에 따라 종사자규모 산업분류별로 층화하고, 각 층에 부여된 목표변동계수값을 만족시키는 멱배분법의 승수를 모의실험으로 찾아서 층화별로 표본의 크기를 결정하였다. 이와 더불어 본 연구에서 고려한 표본가중치 계산, 그리고 가중치를 반영한 모수추정량과 추정오차는 기존의 조사에서 사용된 기술 통계적 분석을 벗어나 업종별과 종사자 규모별 추정과 추정의 정도에 대한 평가를 가능하게 하였다.

The e-learning industry status survey statistic provides information about the actual conditions of supply and demand of the e-learning industries. NIPA (National IT Industry Promotion Agency) has published the annual report of the survey results since 2004. Due to the 9th version of the KSIC (Korean standard industrial classification) revised in 2008, a refinement of the sampling design for the survey becomes necessary, especially that for the business demand sector. This article, based on the 9th revision of the KSIC, constructs a stratification of the target population used for the e-learning industry status survey on the business demand sector. Classification of strata in the business population is based on the industrial type and employment scale of business. Under the stratified population, we design a sampling scheme by using the power allocation method that enables us to satisfy a target coefficient of variation of each industrial stratum. In order to secure an accurate survey results based on the proposed sampling design, we consider the problem of calculating the design weights, derivation of parameter estimators, and formulas of their standard errors.

키워드

참고문헌

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