• Title/Summary/Keyword: 분위분석

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Analysis of Long-term Linear Trends of the Sea Surface Height Along the Korean Coast based on Quantile Regression (분위회귀를 이용한 한반도 연안 해면 고도의 장주기 선형 추세 분석)

  • LIM, BYEONG-JUN;CHANG, YOU-SOON
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.23 no.2
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    • pp.63-75
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    • 2018
  • This study analyzed the long-term linear trends of the sea surface height around the Korea marginal seas for the period of 1993~2016 by using quantile regression. We found significant difference about 2~3 mm/year for the linear trend between OLS (ordinary least square) and median (50%) quantile regression especially in the Yellow Sea, which is affected by extreme events. Each area shows different trend for each quantile (lower (1%), median (50%) and upper (99%)). Most areas of the Yellow Sea show increasing trend in both low and upper quantile, but significant "upward divergence tendency". This implies that significant increasing trend of upper quantile is higher than that of lower quantile in this area. Meanwhile, South Sea of Korea generally shows "upward convergence tendency" representing that increasing trend of upper quantile is lower than that of lower quantile. This study also confirmed that these tendencies can be eliminated by removing major tidal components from the harmonic analysis. Therefore, it is assumed that the regional characteristics are related to the long term change of tide amplitude.

Income Distribution and Determinants of Self-Employment: Quantile Regression Analysis (자영업 부문의 소득분포 및 소득결정요인: 분위회귀분석)

  • Choi, Kang-Shik;Jeong, Jin-Ook;Jung, Jin-Hwa
    • Journal of Labour Economics
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    • v.28 no.1
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    • pp.135-156
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    • 2005
  • This paper analyzes the distribution and determinants of income of the self-employed, in comparison with salaried workers. Relative to salaried workers, in general, the self-employed tend to have a larger dispersion of income and larger heterogeneity. In this regard, the quantile regression analysis was used, along with a typical OLS regression analysis. According to the empirical findings, the income of the self-employed is larger than that of salaried workers, and this difference is larger for higher income group. The marginal effect of education is larger for higher income groups for both the self-employed and salaried workers, implying the return on education is larger for higher income groups. In contrast, for self-employed women, the marginal effect of education is smaller for higher income groups. Put differently, the return on education in the labor market is larger for salaried workers and self-employed men of high income groups as compared to those of low income groups, whereas the opposite holds for self-employed women.

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A Study on the User Satisfaction of Demand Response Transport(DRT) by Quantile Regression Analysis (분위회귀분석에 의한 수요응답형교통 이용자 만족도 분석)

  • Jang, Tae Youn;Han, Woo Jin;Kim, Jeong Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.3
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    • pp.118-128
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    • 2016
  • As the rural areas have experienced the population reduction and the aging, the service level of public transit decreases. This study analyzes the effecting factor to user satisfaction of demand response transport(DRT) as alternative to rural public transit by the quantile regression that aims at estimating either the conditional median or other quantiles of the response variable. Jeonbuk Province tested DRT operations in Dongsang of Wanju County and Sannae of Jeongup City each in 2015. The user DRT satisfaction of Wanju was higher than one of Jeongup in basic statistics analysis. The difference in satisfaction between higher quantile and lower quntile of Wanju is smaller than one of Jeongupy as a result of quantile regression analysis. Also, Wanju DRT continues the second test operation of DRT as satisfaction from Ordinary Least Squares(OLS) close to higher satisfaction quantile.

Intergenerational economic mobility in Korea using a quantile regression analysis (한국의 세대 간 경제적 이동성 - 분위수회귀분석을 중심으로 -)

  • Richey, Jeremiah;Jeong, Kiho
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.715-725
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    • 2014
  • This study uses a quantile regression analysis to investigate intergenerational economic mobility in Korea. The analysis is based on data from the 1st through 11th waves of the Korean Labor and Income Panel Study (KLIPS) conducted from 1998-2008. The household nature of the data allows us to link parents' incomes to children's incomes at different points in time. Using a quantile regression analysis instead of mean one reveals that the effect of fathers' earnings are different across the conditional distribution of sons' earnings, particularly being larger on the upper quantile than on the lower quantile. After controlling effect of sons' college education by including a dummy variable for the degree, however, the pattern among quantile effects for fathers' earnings is no longer clear. Instead a new pattern emerges that education has a much larger effect on the upper quantiles than on the lower ones. Using nonparametric estimates of conditional density curves based on the quantile regression results, we derive some interesting features in graphical forms, which are not obvious in numerical analysis.

A Study on the Outward Foreign Direct Investment and Psychic Distance of Spanish Companies (스페인 기업의 해외투자 진출과 심리적 거리에 관한 연구)

  • Jae-won Lyu;Yong-Duk Kim
    • Korea Trade Review
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    • v.48 no.2
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    • pp.71-94
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    • 2023
  • The purpose of this study is to prove the effect of psychic distance between home country and host country on overseas foreign direct investment(OFDI) of Spanish companies through panel analysis. The panel data was based on cultural, institutional, economic, and geographical distance data over the past decade between Spain and Spain's OFDI countries. According to the Random Effect Model(REM) analysis, cultural distance(CULD) had a negative effect on OFDI, while institutional distance(INSD) had a positive effect. Among economic distances, income size distance(GDP) had a positive effect on OFDI, but export size distance(EXPO) had a negative effect. Geographic distance(PKM) had a negative impact. Meanwhile, according to the results of quantile regression analysis to prove the psychic distance effect by OFDI size, the effects of CULD and INSD in the quartile (75%) to which Korea belongs were the same as the REM analysis results. In addition, GDP and EXPO had a positive effect, and PKM had a negative effect but EXPO had a positive effect. Therefore, FDI host countries need to establish differentiated strategies through quantile analysis while making continuous efforts to improve the system.

A Study on Estimation of Soil Moisture Multiple Quantile Regression Model Using Conditional Merging and MODIS Land Surface Temperature Data (조건부 합성기법과 MODIS LST를 활용한 토양수분 다중분위회귀모형 산정 연구)

  • Jung, Chung Gil;Lee, Ji Wan;Kim, Da Rae;Kim, Se Hun;Kim, Seong Joon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.23-23
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    • 2018
  • 본 연구에서는 다중분위회귀분석모형(Multiple Quantile Regression Model, MQRM)과 MODIS(MODerate resolution Imaging Spectroradiometer) LST (Land Surface Temperature) 자료를 이용하여 전국 공간토양수분을 산정하였다. 공간토양수분을 산정하기 위한 과정은 크게 두가지로 구분된다. 첫 번째로 기존의 MODIS LST 자료를 조건부 합성 보정기법을 적용하여 실측 LST 자료와 비교하여 위성 LST 자료가 갖고 있는 오차를 보정하였다. 그 결과, 조건부 합성 보정기법을 적용하기전 전국 71개 지상관측지점에서 관측한 실측 LST와 MODIS LST의 $R^2$는 전체 평균 0.70으로 어는정도 유의성 있는 상관관계를 나타냈으나 조건부 합성 보정기법을 적용한 후 실측 LST와 MODIS LST의 $R^2$는 전체 평균 0.92로 상당히 크게 향상됨을 알 수 있었다. 두 번째로 보정된 MODIS LST를 이용하여 다중분위회귀분석 모형을 개발하고 토양수분을 예측하는 단계로 입력자료로 위성영상 자료와 관측자료를 융합하여 사용하였다. 위성영상 자료로는 보정된 MODIS LST와 MODIS NDV를 구축하였고 일단위 강수량 및 일조시간의 기상자료는 기상청으로부터 전국 71개 지점에 대해 구축하여 IDW 공간보간기법을 이용한 공간자료로 구축하였다. 토양수분 결과를 비교하기 위한 관측 토양수분은 자동농업기상관측(Automated Agriculture Observing System, AAOS)지점에서 2013년 1월부터 2015년 12월까지의 실측 일단위 토양수분 자료를 구축하여 사용하였다. 다중분위회귀분석 모형은 LST 인자를 중심으로 각각의 분위(0.05, 0.25, 0.5, 0.75, 0.95)에 해당되는 값의 회귀식을 NDVI, 강수 입력자료를 독립인자로서 조합하여 계절 및 토성에 따른 총 80개의 회귀식을 산정하였다. 관측 토양수분과 모의 토양수분을 비교한 결과 $R^2$가 0.70 (철원), 0.90 (춘천), 0.85 (수원), 0.65 (서산), 0.78 (청주), 0.82 (전주), 0.62 (순천), 0.63 (진주), 0.78 (보성)로 높은 상관성을 보였다. 본 연구에서는 다중분위회귀 모형의 성능을 검증하기 위해 기존의 다중선형회귀모형의 결과와 비교하여 크게 개선됨을 나타냈다.

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Huff 강우분포의 손실률과 유출수문곡선 분석

  • Kim, Kyo-Sik;Park, Ki-Bum;Park, Jong-Kwon;Cha, Sang-Hwa
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.680-683
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    • 2008
  • 최근의 사전재해영향성 평가 등에서 많이 사용되고 있는 Huff 강우분포는 실제 호우사상의 적용성 보다는 최빈분위의 적용에 따라 특히나 재해 관련하여서는 홍수량이 크게 산정된다는 이유로 인하여 Huff 4분위를 채택하고 있다. 시간분포는 설계홍수량 수문곡선의 모양과 첨두홍수량에 많은 영향을 미치므로 신중하게 적용하여야 한다. 원칙적으로는 해당 지역의 과거 강우자료로부터 강우지속기간 동안에 총강우량이 시간이 경과함에 따라 어떻게 분포되었는지를 통계학적으로 분석하여 그 지역에 적합한 시간분포 모형을 작성하여 사용하여야 한다. 그러나 유출수문곡선에 영향을 미치는 점에 있어 분위별 강우 분포에 따른 손실율과 유출수문곡선과의 관계는 아직 연구가 부족하여 본 연구에서는 확률강우량의 시간분포 산정 방법 중 Huff분포를 이용하여 각 분위별로 유출수문곡선을 산정하였으며, 유효우량 손실과 유출수문곡선과의 관계를 비교 분석하였다. 강우의 손실율은 유출수문곡선의 상승부와 첨두전의 유출총량의 변화에 어떠한 영향을 미치는지 분석하였다.

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Retirement-related Subjective Expectations and the Capital Accumulation of the Korean Baby-boom Generation (주관적 기대가 한국 베이비붐 세대의 자산축적에 미치는 효과)

  • Lee, Yoonsoo;Woo, Seokjin
    • 한국노년학
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    • v.31 no.4
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    • pp.855-870
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    • 2011
  • This paper investigates the effect of retirement-related subjective expectations on the capital accumulation of the Korean baby-boom generation. Using the 1st, 2nd waves of the KLoSA (2006, 2008), we estimate the distributional effects with quantile regression. In addition, the endogeneity of the expectation variables is handled using the fixed effect model. The quantile regression results reveal that the schooling, gender and the number of children are important determinants, but their effects are heterogenous across quantiles to a significant margin. The expectations of the stronger bequest motives and longer lifespan turned out to lead to more capital accumulation. The expectation regarding the expanded role of government retirement support seemed to crowd out private savings for the baby boomers with the total assets over 0.7 percentile.

Family Gaps Across the Wages Distribution in Korea (자녀유무별 여성임금격차(Family gap) : 소득분위에 따른 비교연구)

  • Huh, Soo-Yeon
    • Korean Journal of Social Welfare Studies
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    • v.43 no.2
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    • pp.345-366
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    • 2012
  • This study analyze Family gaps(the wage gap between mothers and non-mothers) across the wages distribution in Korea using 2008 Korean Labor and Income Panel Study. Analysis models include Heckman's two stage estimation to control women's labor participation selection and Quantile regression method to examine the effects of children at different points of the wage distribution. The result indicates that first, comparing non-mothers, mothers with one child suffer statistically significant hourly wage losses at 25th, 50th, and 75th distribution, however not significant effects are found at lowest(10th) and highest(90th) distribution. Second, comparing non-mothers, mothers with two more children suffer statistically significant hourly wage losses at all distribution. Family gap differs across the wage distribution and highest family gaps are found at 25th distribution. With these results, the author suggests universal family policies to support mothers' labor participation and the reconciliation of work and family.

Glass ceiling in arts and culture professionals: Between J and R industries (문화예술분야 전문인력에 대한 유리천장효과 분석: J산업과 R산업 중심으로)

  • Chan, Jong-Sub;Heo, Shik
    • Review of Culture and Economy
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    • v.21 no.2
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    • pp.3-28
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    • 2018
  • This study focuses on analyzing the glass ceiling effect in arts and culture professionals through the quintile decomposition applied to the RIF unconditional quantile regression and Oaxaca-Blinder decomposition technique. From the industrial viewpoint, we divide arts and culture professionals into cultural contents professionals(large category J industry) and arts professionals(large category R industry). For our analysis, we employ the pooling data of 'Wage Structure Survey' from 2009 to 2016. Our results are summarized as follows. First, as OLS wage decomposition showed that the gender wage gap among the arts professionals was lower than cultural contents professionals, but the discrimination portion of total gender wage gap was larger. Second, from quintile regression decompositions, the glass ceiling effects of two types of professionals showed different results. Cultural contents sector was observed with the "steady glass ceiling effect" as the portion of the discrimination was continuously increased, while the arts sector was observed with the "limited glass ceiling effect" as the discrimination had drastically increased in the 80s and 90s.