• Journal of the Korean Data and Information Science Society
• /
• 제24권6호
• /
• pp.1199-1210
• /
• 2013

The high unemployment rate is one of the major problems in most countries nowadays. Hence, the demand for small area labor statistics has rapidly increased over the past few years. However, since sample surveys for producing official statistics are mainly designed for large areas, it is difficult to produce reliable statistics at the small area level due to small sample sizes. Most of existing studies about the small area estimation are related with the estimation of parameters based on cross-sectional data. By the way, since many official statistics are repeatedly collected at a regular interval of time, for instance, monthly, quarterly, or yearly, we need an alternative model which can handle this type of panel data. In this paper, we derive the generalized kernel estimating equation which can model time-dependency among response variables and handle repeated measurement or panel data. We compare the proposed estimating equation with the generalized linear model and the generalized estimating equation through simulation, and apply it to estimating the unemployment rates of 25 areas in Gyeongsangnam-do and Ulsan for 2005.

• The Korean Journal of Applied Statistics
• /
• 제23권5호
• /
• pp.891-908
• /
• 2010

In Korea, the small area estimation method is currently unpopular in generating o cial statistics. Because it may be difficult to determine the reliability for small area estimation, although small area estimation ha a sufficiently good advantage to generate small area statistics for Korea. This paper inspects the method of making small area unemployment through the small area estimation method. To estimate small area unemployment we used an EBLUP-type estimator based on a logistic linear mixed model. To evaluate the EBLUP-type estimator we accomplished the real data analysis and simulation experiment from the population and housing census data. In addition, small area estimates are compared to large sample survey estimates. We found the provided method in this paper is highly recommendable to generate small area unemployment as the official statistics.

• Journal of the Korean Data and Information Science Society
• /
• 제20권2호
• /
• pp.349-356
• /
• 2009

In this study, we suggest the estimation method of the relative risk for the unemployment statistics of a small area such as si, gun, gu in Korea. The considered method are the usual pooled estimator, weighted estimator with the inverse of log-variance as weights, and the Jackknife estimator. And we compare with the efficiency of the three estimators by estimating the bias and mean square errors using real data from the 2002 Economically Active Population Survey of Gyeonggi-do. We compute the unemployed rate of male and female in small areas, and then estimate the common relative risk for the unemployed rate between male and female. Also, the stability and reliability of the three estimators for the common relative risk was evaluated using the RB(relative bias) and the RRMSE(relative root mean square error) of these estimators. Finally, the Jackknife estimator turned out to be much more efficient than the other estimators.

• The Korean Journal of Applied Statistics
• /
• 제16권1호
• /
• pp.1-14
• /
• 2003

In this study, we suggest the method of small area estimation based on the Economically Active Population Survey (EAPS) data in producing unemployment statistics for the local self-government areas (LSGAs) within large areas. The small area estimators considered are design-based indirect estimators such as the synthetic and composite estimators. The jackknife mean square error was used as a measure of accuracy of such small area estimators. The total unemployed and jackknife mean square errors of the 10 LSGAs within the large area of ChoongBuk region are derived from the estimation procedure suggested in this study, using EAPS data of December 2000. The reliability of small area estimators was assessed using the relative bias values and relative root mean square errors of these estimators. We find that under the current Korean EAPS system, the composite estimator turns out to be much more stable than other estimators.

• Journal of the Korean Data and Information Science Society
• /
• 제28권2호
• /
• pp.327-337
• /
• 2017

In this study we compared three models for small area estimation, Fay-Herriot, Hierarchical Bayses model and spatio-temporal model about charter, monthly rent price index. Charter, monthly rent price of Korea are important issue in these days. Because housing type rapidly changes from self to charter and monthly rent. The accuracy of the estimation was checked on four scales, that is ARB, ASRB, AAB, ASD. In this result, the spatio-temporal model among applied models has most optimal scales about small area estimation of charter and monthly rent index.

• Proceedings of the Korean Association for Survey Research Conference
• /
• 한국조사연구학회 2000년도 춘계학술대회 조사연구의 방법론적 쟁점
• /
• pp.57-73
• /
• 2000

Small area estimation is becoming important in survey sampling due to a growing demand for reliable small area statistics. In estimating means, totals, and other parameters for small areas of a finite population, samplie sizes for small areas are typically small because the overall sample size is usually determined to provide specific accuracy at a much higher level of aggregation than that of small area. The usual direct estimators that use the only information which is gotten from the sample in a given small area provide unreliable estimates. However, indirect estimators utilize the information from the areas related with a given small area, that is borrow strength from other related areas, and so give more accurate estimates than direct estimators. In this paper we investigate small area estimation methods such as synthetic, composite and empirical best linear unbiased prediction estimator, and apply them to real domestic data which is from the Survey of Hotels and Restaurants in In-Chon as of 1996 and then evaluate the performance of these methods by measuring average squared errors. This evaluation shows that indirect estimators, which are small area estimation methods, are more efficient direct estimator.

• Journal of the Korean Data and Information Science Society
• /
• 제9권2호
• /
• pp.337-344
• /
• 1998

We analyze statistical reliability about local area results of '96 Survey of Family Consumption Behavior by the National Statistical Office. Also, we suggest reliable estimation procedures for reducing statistical errors in local ares estimation problem.

• The Korean Journal of Applied Statistics
• /
• 제24권6호
• /
• pp.1129-1138
• /
• 2011

Small area estimation has received significant intention in recent years due to a growing demand for reliable local area statistics. Traditional area-specific direct estimates based solely on sample survey data in the areas of interest do not provide adequate small area precision; however, design-based indirect local area estimators borrow strength from sample observations of related areas to increase the effective sample size. Design-based indirect estimation methods such as synthetic and composite estimators are considered to adjust local area unemployment rate estimates in the Korean Economically Active Population Survey. This study suggests an efficient alternative to minimize the cost to construct the unemployment rate of a local area through simulation under the condition that we can maintain a certain level of CV for the estimates. We obtained the results that the composite estimators using a sample size greater than 10 are more stable and significant at the level of CV 25% in our design scheme.

• The Korean Journal of Applied Statistics
• /
• 제21권5호
• /
• pp.855-866
• /
• 2008

Recently many small area estimation methods using the lattice data analysis have been studied and known that they have good performances. In the case of using the lattice data which is mainly used for small area estimation, the choice of better neighborhood information system is very important for the efficiency of the data analysis. Recently Lee and Shin (2008) compared and analyzed some neighborhood information systems based on GIS methods. In this paper, we evaluate the effect of various neighborhood information systems which were suggested by Lee and Shin (2008). For comparison of the estimators, MSE, Coverage, Calibration, Regression methods are used. The number of unemployment in Economic Active Population Survey(2001) is used for the comparison.

• Journal of Korean Society of Transportation
• /
• 제16권1호
• /
• pp.79-98
• /
• 1998

교통계획의 수립은 사람과 화물의 이동상태에 대한 파악으로부터 시작되며 화물이동상태를 파악 하기 위한 가장 기본적인 데이터는 지역별 발생집중 화물량일 것이다. 이러한 지역별 발생집중 화물량의 추계방법중 추계의 간편성과 경제상황변화의 반영이 용이하다는 점에서, 최근 학자들의 상당한 주목 을 받으며 연구되고 있는 것이 산업연관분석을 응용한 물류해석방법이다. 그러나 이방법은 대상지역의 산업연관표를 기본 data로 하기 때문에 해당지역의 산업연관표의 존재 여부에 따라서 그 적용범위가 제한된다. 이러한 문제점을 해결하기 위해서 연구되고 있는 방법이 Nonsurvey법이다. Nonsurvey법은 대 지역의 산업연관표로부터 그 지역에 포함된 소지역의 산업연관표를 여러 가지 보조적인 데이터를 이용해 서 간접적으로 추계하는 방법이다. 본연구에서는 이러한 Nonsurvey법의 하나로서 대지역의 산업연관표 와 지역분해된 각 소지역의 산업부문별 생산량만을 이용해서 각 소지역의 발생집중화물량을 추계하는 방법을 제안했다. 그리고 일본의 긴키(Kinki)지역과 이에 속하는 4부현을 대상으로 본연구의 방법으로 추계된 이출입양과 실제의 산업연관표상의 이출입량을 비교.분석함으로써 본 연구의 방법에 대한 검증을 실시했다. 본 연구에서 제아한 지역별 발생집중 화물량 추계방법의 특징은 다음과 같다. 첫째, 대지역내 각 소지역간의 이출입량이 분기계수라고 하는 산업관계표의 산업관계표의 행방향의 합에 대한 비율을 사용함으로서 간단히 추계가능 하다. 둘째, 추계된 소지역의 산업관계표는 대지역에 대한 시스템전체의 정합성이 유지된다. 셋째 분해되는 소지역의 수에 관계없이 각소지역의 이출입양에 대한 추계가 가능하다.