집계화 수준과 자료수집계화 수준과 자료수집 주기가 상이한 시계열자료들로부터 일관성 있는 시계열자료를 구축하는 기법

How to Construct a Consistent Time Series from Multiple Data Sources with Differences in Aggregation and Survey Periodicity
  • 문춘걸

초록

We propose an econometric method to construct a logically- consistent time series from multiple data sources with differences in sector aggregation and survey periodicity. Logical consistency is the requirement that at each period the total of the predicted values of component subsectors should be equal to the actual value of the integrating sector. Building upon Salkever (1971), a consistent time series is constructed by applying iterative GLS to a system of augmented regression equations with cross-equation restrictions on the parameters. We successfully applied our method to the construction of annual data for the three subsectors of Petrochemicals by combining annual data (from Yearbook of Energy Statistics) on Petrochemicals and triennial data (from Energy Consumption Survey) on its three subsectors.

키워드

집계화 수준자료수집 주기시계열자료의 결합반복 일반화최소자승추정법sector aggregationsurvey periodicitycombining multiple time series dataiterative GLS
제목
집계화 수준과 자료수집계화 수준과 자료수집 주기가 상이한 시계열자료들로부터 일관성 있는 시계열자료를 구축하는 기법
제목 (타언어)
How to Construct a Consistent Time Series from Multiple Data Sources with Differences in Aggregation and Survey Periodicity
저자
문춘걸
발행일
2009-06
저널명
응용경제
11
1
페이지
217 ~ 230