• Journal of the Korean association of regional geographers
• /
• v.14 no.6
• /
• pp.736-751
• /
• 2008

Although a growing number of studies have commonly used a simple areal weighting interpolation method to quantify demographic characteristics of impacted areas in environmental equity analysis, the results obtained are inevitably imprecise because of the method's unrealistic assumption that population is evenly distributed within a census enumeration unit. Two alternative areal interpolation methods such as intelligent areal weighting and regression methods can account for the distributional biases in the estimation of impacted populations by making use of additional information about the geographic distribution of population. This research explores five areal interpolation methods for estimating the population characteristics of impacted areas in environmental equity analysis and evaluates the sensitivity of the outcomes of environmental equity analysis to areal interpolation methods. This study used GIS techniques to allow areal interpolation to be informed by the distribution of land cover types, as inferred from a satellite image. in both the source and target units. Independent samples t-test statistics were measured to verify the environmental equity hypothesis while coefficients of variation were calculated to compare the relative variability and consistency in the socioeconomic characteristics of populations at risk over different areal interpolation methods. Results show that the outcomes of environmental equity analysis in the study area are not sensitive to the areal interpolation methods used in estimating affected populations, but the population estimates within the impacted areas are largely variable as different areal interpolation methods are used. This implies that the use of different areal interpolation methods may to some degree alter the statistical results of environmental equity analysis.

• Proceedings of the Korean Statistical Society Conference
• /
• 2002.11a
• /
• pp.305-309
• /
• 2002

소지역에서 직접(direct) 시계열추정을 할 수 있다면, 소지역들 추정에서 최적선형 불편예측량(BLUP)을 일반화 시킬 수 있다. 특히 조사에서 얻어지는 관측 값의 오차가 시간상으로 상관관계가 있다면 Kalman-Filter(K-F)기법이 사용 될 수 있다. 이 연구는 소지역의 실업자 수 추정에서 K-F기법으로 경제활동인구수를 이용하여 현 시점의 소지역 실업자 수를 예측함수(BLUP)를 통해 추정하였다. 그리고 단순 회귀분석 추정치와 비교하였다.

• 한국지역지리학회:학술대회
• /
• 2009.08a
• /
• pp.81-81
• /
• 2009

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.24-34
• /
• 2021

Estimation of the presence of people in real time is extremely useful for businesses in providing better services. Many companies and researchers have attempted various researches in order to count the number of floating population in specific space. Recently, as part of smart cities and digital twins, commercialization of measuring floating populations using Wi-Fi signals has become active in the public and private sectors. This paper explains the floating population measuring system from the perspective of general consumers(non-experts) who uses current population data. Specifically, it presents a method of estimating the floating population based on MAC-address values collected from smartphones. By distinguishing Real MAC-address and Random MAC-address values, we compare the estimated number of smartphone devices and the actual number of people caught on CCTV screens to evaluate the accuracy of the proposed method. And it appeared to have a similar correlation between the two datas. As a result, we present a method of estimating the floating population based on analyzing Wi-Fi Probe Requests

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.4 no.4
• /
• pp.203-212
• /
• 2002

This study was conducted to remove the urban heat island effects embedded in the interpolated surfaces of daily minimum temperature in the Korean Peninsula. Fifty six standard weather stations are usually used to generate the gridded temperature surface in South Korea. Since most of the weather stations are located in heavily populated and urbanized areas, the observed minimum temperature data are contaminated with the so-called urban heat island effect. Without an appropriate correction, temperature estimates over rural area or forests might deviate significantly from the actual values. We simulated the spatial pattern of population distribution within any single population reporting district (city or country) by allocating the reported population to the "urban" pixels of a land cover map with a 30 by 30 m spacing. By using this "digital population model" (DPM), we can simulate the horizontal diffusion of urban effect, which is not possible with the spatially discontinuous nature of the population statistics fer each city or county. The temperature estimation error from the existing interpolation scheme, which considers both the distance and the altitude effects, was regressed to the DPMs smoothed at 5 different scales, i.e., the radial extent of 0.5, 1.5, 2.5, 3.5 and 5.0 km. Optimum regression models were used in conjunction with the distance-altitude interpolation to predict monthly normals of daily minimum temperature in South Korea far 1971-2000 period. Cross validation showed around 50% reduction in terms of RMSE and MAE over all months compared with those by the conventional method.conventional method.

• Journal of Labour Economics
• /
• v.44 no.1
• /
• pp.73-101
• /
• 2021

Employing bunching estimators of Cengiz et al. (2019) for data from the "Economically Active Population Survey," this paper estimates the effect of minimum wage increases on the volume of waged employment for the period 2009-2019. A bunching estimator, which exploits yearly changes in the hourly wage distribution due to the minimum wage hike, can be easily applied to the Korean labor market, which adopts the yearly single national minimum wage. The estimation results suggest that an increase in the annual minimum wage during the period from 2009 to 2019 had a negative effect on the volume of waged employment. A 10% increase in the (real) minimum wage leads to a 1.42~1.74% decrease in the volume of waged employment. Disemployment effects of minimum wage hikes are greater in the sector with a higher proportion of minimum wage workers. It is necessary to carefully consider disemployment effects in determining the level of the minimum wage.

• Journal of the Economic Geographical Society of Korea
• /
• v.22 no.3
• /
• pp.351-365
• /
• 2019

This study aims to predict the changes in population distribution in Korea by considering spatio-temporal characteristics of major migration reasons. For the purpose, we analyze the spatio-temporal characteristics of each major migration reason(such as job, family, housing, and education) and estimate the transition probability, respectively. By appling Markov chain model processes with the ChapmanKolmogorov equation based on the transition probability, we predict the changes in the population distribution for the next six years. As the results, we found that there were differences of population changes by regions, while there were geographic movements into metropolitan areas and cities in general. The methodologies and the results presented in this study can be utilized for the provision of customized planning policies. In the long run, it can be used as a basis for planning and enforcing regionally tailored policies that strengthen inflow factors and improve outflow factors based on the trends of population inflow and outflow by region by movement factors as well as identify the patterns of population inflow and outflow in each region and predict future population volatility.

• Proceedings of the Korean Statistical Society Conference
• /
• 2003.05a
• /
• pp.55-61
• /
• 2003

신라촌장적은 당시의 경제사회상을 조명하는 데 있어 매우 귀중한 사료로 여겨지고 있다. 이 문서를 기록한 내용의 정확성과 방법의 정연성은 오늘날의 각종 조사보다 더욱 뛰어난 것으로 생각된다. 본 연구에서는 인구에 관한 통계수치를 중심으로 현대적 의미의 통계량을 추정해 보고자 하였다.

• 건강소식
• /
• v.10 no.12 s.97
• /
• pp.21-23
• /
• 1986

인구8-9만명의 지역주민을 대상으로 한 전수조사에서는 인구 10만명당 연간 암발생율은 남자 140,여자 103명으로 보고된 바 있다. 암발생율은 진단기술의 정도나 주민의 의료 양상에 의해 크게 달라질 수 있겠으나 현재 우리나라 암발생율은 대략 130-150/10만명으로 추정되며 연간 약5~6만명의 암환자가 새로이 발생되는 것으로 믿어진다.

• KDI Journal of Economic Policy
• /
• v.28 no.2
• /
• pp.1-49
• /
• 2006

Considering the fact that households' demographic characteristics affect consumption decision, it is conjectured that rapid demographic changes would lead to a substantial change in the composition of private consumption expenditure. This paper estimates the demand functions of various consumption items by applying the Quadratic Almost Ideal Demand System(QUAIDS) model to Household Income and Expenditure Survey data, and then provides a long-term forecast of the composition of household consumption expenditure for 2005-2020. The paper shows that Korea's consumption expenditure will maintain the recent years' rapid change, of which a considerable portion is due to rapid demographic changes. Results of the paper can be utilized in forecasting the change in the industrial structure of the economy, as well as in firms' investment planning.