• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.114-128
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• 2014

This study is the analysis on the labor migration between 16 provinces in experienced employees' sector by using the employment insurance statistics of 2008 to 2011. In wage workers of Korea, all of regular and some of temporary employees subscribe to the employment insurance and among these, about 40-50% career workers have moved their jobs every year. Targeting these, first I perform cluster analysis to explore the spatial boundaries of intra and inter-regional labor migration, and second measure the regional linkages extracting the inter-regional migrants. As results, the clusters of labor migration are similar to 5+2 Mega-regional Economic Zones. However, in the regional linkages between clusters, Seoul-metropolitan area has a great influence to other regions in inflow and outflow.

• Genomics & Informatics
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• v.21 no.2
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• pp.27.1-27.7
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• 2023

Recombination events complicate the evolutionary history of populations and species and have a significant impact on the inference of isolation-with-migration (IM) models. However, several existing methods have been developed, assuming no recombination within a locus and free recombination between loci. In this study, we investigated the effect of recombination on the estimation of IM models using genomic data. We conducted a simulation study to evaluate the consistency of the parameter estimators with up to 1,000 loci and analyze true gene trees to examine the sources of errors in estimating the IM model parameters. The results showed that the presence of recombination led to biased estimates of the IM model parameters, with population sizes being more overestimated and migration rates being more underestimated as the number of loci increased. The magnitude of the biases tended to increase with the recombination rates when using 100 or more loci. On the other hand, the estimation of splitting times remained consistent as the number of loci increased. In the absence of recombination, the estimators of the IM model parameters remained consistent.

• The Korean Journal of Applied Statistics
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• v.11 no.2
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• pp.221-232
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• 1998

There was a large reform in administrative districts during 1990-95, which might influence the estimates of migration according to the definition of migration. An indirect method has been worked out in this paper to measure the influence of the district reforms on migration estimation and to provide more accurate recent trend of migration. The district reform during 1950-95 tended to decrease the estimate of total migrants and influenced substantially the estimates of migrants between urban and rural. When the influences of district rewarm were removed, it was found that total migrations increased by 8.5%, between two periods 1985-'90 and 1990-'95, and the net migrants in the rural areas reduced drastically. It was also found that the change in migration trend between urban and rural was no more a local but a nation wide phenomenon.

• Communications for Statistical Applications and Methods
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• v.29 no.1
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• pp.103-125
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• 2022

In this paper, we analyze the time series data of the case and death counts of COVID-19 that broke out in China in December, 2019. The study period is during the lockdown of Wuhan. We exploit functional data analysis methods to analyze the collected time series data. The analysis is divided into three parts. First, the functional principal component analysis is conducted to investigate the modes of variation. Second, we carry out the functional canonical correlation analysis to explore the relationship between confirmed and death cases. Finally, we utilize a clustering method based on the Expectation-Maximization (EM) algorithm to run the cluster analysis on the counts of confirmed cases, where the number of clusters is determined via a cross-validation approach. Besides, we compare the clustering results with some migration data available to the public.

• Journal of the Korean Regional Science Association
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• v.34 no.3
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• pp.55-68
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• 2018

This paper aims to analyze the changes of the population distribution of metropolitan area by the development of the new town-type innovative city, focusing on the case of the Daegu Innovative City. Using dataset in the survey of population trend and the migration statistics microdata provided by the Statistics Korea, we decomposed population changes of Daegu and surrounding regions into natural increase and social increases(net migration). As a result of the analysis, Dong-gu, where the Daegu Innovation City is located, experienced population growth due to its increase of net migration, whereas the total population in Daegu been decreasing continuously between 2007 and 2016. In particular, the occurrence of high net migration to Dong-gu in 2014 showed a pattern consistent with the completion of the Daegu Innovative City development and the relocation of government institutions from the Seoul metro area. As a result of analyzing the migration to Dong-gu, the population moved from the Seoul metro area was 6.9% of the total, while the population moving from the other 7 gu-gun areas in Daegu (35.8%) and the surrounding regions (8.2%) were significantly high. In particular, the migration to Dong-gu were from neighboring areas, such as Suseong-gu, Buk-gu and Gyeongsan-si. Therefore, the development of the new town-type innovative city could accelerate toward sprawling urban structure.

• Bulletin of the Korean Mathematical Society
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• v.50 no.2
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• pp.353-373
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• 2013

In this paper, a class of delayed predator-prey models of prey migration and predator switching is considered. By analyzing the associated characteristic transcendental equation, its linear stability is investigated and Hopf bifurcation is demonstrated. Some explicit formulae for determining the stability and the direction of the Hopf bifurcation periodic solutions bifurcating from Hopf bifurcations are obtained by using the normal form theory and center manifold theory. Some numerical simulations for justifying the theoretical analysis are also provided. Finally, biological explanations and main conclusions are given.

• The Korean Journal of Applied Statistics
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• v.32 no.4
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• pp.517-541
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• 2019

According to the OECD (2015) and UN (2017), Korea was classified as an immigration country. The designation as an immigration country means that net migration will remain positive and international migration is likely to affect population growth. KOSTAT (2011) used a model with more than 15 parameters to divide sexes, immigration and emigration based on the Wilson (2010) model, which takes into account population migration factors. Five years later, we assume the average of domestic net migration rate for the last five years and foreign government policy likely quota. However, both of these results were conservative estimates of international migration and provide different results than those used by the OECD and UN to classify an immigration country. In this paper, we proposed a stochastic projection on international migration using nonparametric model (FDM by Hyndman and Ullah (2007) and Coherent FDM by Hyndman et al. (2013)) that uses a functional data model for the international migration data of Korea from 2000-2017, noting the international migration such as immigration, emigration and net migration is non-linear and not linear. According to the result, immigration rate will be 1.098(male), 1.026(female) in 2018 and 1.228(male), 1.152(female) in 2025 per 1000 population, and the emigration rate will be 0.907(male), 0.879(female) in 2018 and 0.987(male), 0.959(female) in 2025 per 1000 population. Thus the net migration is expected to increase to 0.191(male), 0.148(female) in 2018 and 0.241(male), 0.192(female) in 2025 per 1000 population.

• Journal of the Korean association of regional geographers
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• v.16 no.2
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• pp.123-136
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• 2010

To grasp the migration characteristics in the Busan Metropolitan Area (BMA), this study analyzed household characteristics and migration selectivity. The major findings of the study are as follows: first, young (especially 25 to 34 years of age) and single person households have greater propensity to migrate out from BMA, and their home ownership rate is low. These trends are much stronger in households that migrate out towards the Seoul Metropolitan Area from Busan. Second, age and educational selectivity of migration is evident. The characteristics of movers are quite different from those of stayers at Busan. Young people are more likely to migrate out of Busan, and higher levels of education are deeply associated with higher mobility. Through analyzing four high schools in Busan, it is acknowledged that most honor students entered 4-year universities in Seoul. The outflow of highly educated young people may induce the brain drain. Busan is undergoing both population decline and the problems caused by the brain drain.

• Communications for Statistical Applications and Methods
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• v.27 no.3
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• pp.385-395
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• 2020

We present a new maximum likelihood approach to estimate demographic history using genomic data sampled from two populations. A demographic model such as an isolation-with-migration (IM) model explains the genetic divergence of two populations split away from their common ancestral population. The standard probability model for an IM model contains a latent variable called genealogy that represents gene-specific evolutionary paths and links the genetic data to the IM model. Under an IM model, a genealogy consists of two kinds of evolutionary paths of genetic data: vertical inheritance paths (coalescent events) through generations and horizontal paths (migration events) between populations. The computational complexity of the IM model inference is one of the major limitations to analyze genomic data. We propose a fast maximum likelihood approach to estimate IM models from genomic data. The first step analyzes genomic data and maximizes the likelihood of a coalescent tree that contains vertical paths of genealogy. The second step analyzes the estimated coalescent trees and finds the parameter values of an IM model, which maximizes the distribution of the coalescent trees after taking account of possible migration events. We evaluate the performance of the new method by analyses of simulated data and genomic data from two subspecies of common chimpanzees in Africa.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.253-268
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• 2011

In this paper, we estimate systematic risk from credit migration (or transition) matrices under "Asymptotic Single Risk Factor" model. We analyzed transition matrices issued by KR(Korea Ratings) and concluded that systematic risk implied on credit migration somewhat coincide with the real economic cycle. Especially, we found that systematic risk implied on credit migration is better than that implied on the default rate. We also emphasize how to conduct a stress test using systematic risk extracted from transition migration. We argue that the proposed method in this paper is better than the usual method that is only considered for the conditional probability of default(PD). We found that the expected loss critically increased when we explicitly consider the change of credit quality in a given portfolio, compared to the method considering only PD.