• Title/Summary/Keyword: 효과추정

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번호이동성 시차 도입이 이동통신시장 및 경제적 후생에 미치는 영향

  • 박명호;오완근;이충섭
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.11a
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    • pp.115-133
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    • 2003
  • 본 연구에서는 번호이동성 제도의 시차 도입이 이동통신시장에 미치는 영향과 동 제도와 관련된 경제적 후생효과를 추정하였다. 전문조사기관이 조사한 churn rate를 이용하여 2004년-2007년간 사업자별 시장점유율 추정결과는 2004년에는 선발사업자의 점유율은 낮아지고 후발사업자의 점유율은 높아져 유효경쟁체제를 구축하는 방향으로 움직이지만 churn in/out 효과가 모두 반영되는 2005년 이후 장기적으로는 정부의 정책목표가 달성되지 않을 수도 있음을 보이고 있다. 한편 번호이동성이 가져올 경제적 후생효과로는 동 제도를 일시 도입하는 경우 약 3,323억원의 후생이 발생하고, 6개월 시차 도입하는 경우에는 경쟁활성화 효과를 무시하면 이보다 7.85% 감소한 약 3,062억원으로 추정되었다. 또한 요금인하 수준이 분당 0.3원 정도 되면 시차 도입으로 인한 경쟁 효과가 시차제 적용으로 인한 후생 손실을 보전할 수 있는 것으로 나타났다.

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Robust spectral estimator from M-estimation point of view: application to the Korean housing price index (M-추정에 기반을 둔 로버스트 스펙트럴 추정량: 주택 가격 지수에 대한 응용)

  • Pak, Ro Jin
    • The Korean Journal of Applied Statistics
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    • v.29 no.3
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    • pp.463-470
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    • 2016
  • In analysing a time series on the frequency domain, the spectral estimator (or periodogram) is a very useful statistic to identify the periods of a time series. However, the spectral estimator is very sensitive in nature to outliers, so that the spectral estimator in terms of M-estimation has been studied by some researchers. Pak (2001) proposed an empirical method to choose a tuning parameter for the Huber's M-estimating function. In this article, we try to implement Pak's estimation proposal in the spectral estimator. We use the Korean housing price index as an example data set for comparing various M-estimating results.

The Effect of Analysts' Earnings Forecasts Following Dividend Announcements on Stock Returns (배당공시이후 애널리스트 이익추정치 발표가 주가에 미치는영향)

  • Hong, Chun-Uk;Lee, Seong-Hyo;Kim, Kyung-Ihl
    • Journal of Convergence for Information Technology
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    • v.7 no.3
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    • pp.105-109
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    • 2017
  • This paper examines the effect of the analysts' earnings forecast revisions on stock price after the dividend announcement of the firms has been released. We show that the analysts' upward revisions on earnings forecasts are followed by the positive cumulative abnormal return. We also investigate the signalling effect and the confirmation effect with respect to the effect of the dividend announcement and the earnings forecast revisions on stock price. The test results show that the confirmation effect is stronger than the signalling effect. That is, the investors react only when the analysts' forecasts coincide with the preceding dividend announcement.

Overview of estimating the average treatment effect using dimension reduction methods (차원축소 방법을 이용한 평균처리효과 추정에 대한 개요)

  • Mijeong Kim
    • The Korean Journal of Applied Statistics
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    • v.36 no.4
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    • pp.323-335
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    • 2023
  • In causal analysis of high dimensional data, it is important to reduce the dimension of covariates and transform them appropriately to control confounders that affect treatment and potential outcomes. The augmented inverse probability weighting (AIPW) method is mainly used for estimation of average treatment effect (ATE). AIPW estimator can be obtained by using estimated propensity score and outcome model. ATE estimator can be inconsistent or have large asymptotic variance when using estimated propensity score and outcome model obtained by parametric methods that includes all covariates, especially for high dimensional data. For this reason, an ATE estimation using an appropriate dimension reduction method and semiparametric model for high dimensional data is attracting attention. Semiparametric method or sparse sufficient dimensionality reduction method can be uesd for dimension reduction for the estimation of propensity score and outcome model. Recently, another method has been proposed that does not use propensity score and outcome regression. After reducing dimension of covariates, ATE estimation can be performed using matching. Among the studies on ATE estimation methods for high dimensional data, four recently proposed studies will be introduced, and how to interpret the estimated ATE will be discussed.

A Study of Cepstrum Normalization Using World Model for Robust Speaker Verification (강인한 화자 확인 시스템을 위한 World 모델을 이용한 켑스트럼 정규화 연구)

  • Kim Yu-Jin;Chung Jae-Ho
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.55-58
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    • 2000
  • 본 논문에서는 화자 확인 시스템의 등록과 확인 과정의 채널 환경 불일치로 성능이 저하되는 문제를 해결하기 위한 새로운 정규화 방법에 대해 설명한다. 제안된 방법은 첫째, 입력 음성으로부터 효과적으로 채널을 추정$\cdot$보상하고 둘째, 스코어 정규화 과정에서 사칭자 모델로서 사용되는 world모델과의 차이를 채널 추정 및 화자 모델 생성에 효과적으로 사용하는 것을 목표로 한다. 이를 위해 입력 음성의 켑스트럼과 HMM world 모델의 파라메터인 평균 켑스트럼과의 차이를 통해 음소열에 종속적인 채널 켑스트럼인 Phone-Dependent Difference Cepstrum을 추정한다. 한편 입력 음성의 음소열은 world모델의 스코어를 얻는 과정에서 함께 얻어질 수 있다. 채널 추정 실험 결과를 통해서 가장 일반적인 채널 정규화방법인 CMS에 의해 추정된 채널에 비해 실제 채널과 유사하며 화자 고유의 특성을 왜곡시키지 않는 채널 추정이 가능함을 확인할 수 있었다.

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A Study on the Estimation of Casualty Prevention Effectiveness through the Installation of Coastal Vessel Traffic Services (연안 선박교통관리제도의 도입에 따른 사고예방효과 추정에 관한 연구)

  • Jong, Jae-Yong;Lee, Hyong-Ki;Park, Jin-Soo
    • Journal of the Korean Institute of Navigation
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    • v.25 no.2
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    • pp.97-106
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    • 2001
  • The purpose of this paper is to determine the expected percentage of the 'VTS addressable' casualties that could be prevented with the installation of fourth level(Automatic Dependent Surveillance) of coastal VTS. In this study, it determines the VTS benefit by multiplying casualty rate reduction factors by the effect level of causal factors. The development of casualty rate reduction factors was based on the questionnaire survey, and the evaluation of effect levels was based on the causal analysis using functional block diagram. The results of this paper are compared With the results of worldwide literature related to the VTS effectiveness. One or more of the key variable inputs of this study, casualty rate reduction factors, may be somewhat uncertain and therefore subject to sensitivity analysis.

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Estimation of Fatality Reduction by Introducing Technical Regulation on Pedestrian Protection (보행자 충돌안전기준 도입에 따른 사망자수 감소 효과 추정)

  • Oh, Cheol;Kang, Youn-Soo;Kim, Won-Kyu;Kim, Beom-Il
    • Journal of Korean Society of Transportation
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    • v.23 no.3 s.81
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    • pp.49-57
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    • 2005
  • This study developed a methodology for estimating the fatality reduction by introducing technical regulation on pedestrian protection in pedestrian-vehicle collisions. Modeling a probabilistic pedestrian fatality model with logistic regression approach was one of keen interests, which employed in estimating the fatality reduction. Collision speed obtained from the accident reconstruction was used in the model development. The effects of fatality reduction, in case various Head Injury Criterion (HIC) and collision speeds are applied for the regulation. were presented as the major outcome of this study. It is expected that the outcome of this study would be an invaluable tool to assist in developing various technologies and policies for pedestrian protection.

The Impacts of Vocational Training on Earnings in Korea: Evidence from the Economically Active Population Survey (직업훈련의 임금효과 분석: 「경제활동인구조사」를 중심으로)

  • Yoo, Gyeongjoon;Kang, Changhui
    • KDI Journal of Economic Policy
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    • v.32 no.2
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    • pp.27-53
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    • 2010
  • This paper examines whether and how much vocational training raises an individual's earnings in Korea, using the Economically Active Population Survey. To overcome endogeneity of training, we apply fixed-effects and propensity-score matching (PSM) methods. Fixed-effects (PSM) results suggest that work-related training received in the previous one year increases a worker's monthly earnings by 2.6 to 4.7 (7.5 to 9.8) percent. Taken altogether, work-related training enhances a worker's earnings by a minimum of 2.6 and a maximum of 9.8 percent in Korea.

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A study on method to improve the detection accuracy of the location at multi-sensor environment (다중 센서 환경에서 위치추정 정확도 향상 방안 연구)

  • Na, In-Seok;Kim, Yeong-Gil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.1
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    • pp.248-254
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    • 2013
  • In location finding system using spaced multi-sensor, there is the phenomenon that the position estimation accuracy is degraded by the location of signal sources and the sensors. This phenomenon is called GDOP(Geometric Dilution Of Precision) effect. and to minimize these effects, research is needed on how. In this paper, I will describe how to minimize GDOP effect, estimating possibility of GDOP using AOA(angle of arrival) information of spaced multi sensors, and removing sensor error factor in position estimation.

The Effect of Clean Workplace Program on Industrial Accident Rates (클린사업장 조성사업의 산재 감소효과 추정)

  • Kim, Dae Il;Yoo, Gyeongjoon
    • Journal of Labour Economics
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    • v.31 no.3
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    • pp.21-46
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    • 2008
  • This paper estimates of the effect of Clean Workplace Program on industrial accident rates among firms with fewer than 50 workers. The program subsidizes selected firms for work environment improvement. After controling for selectivity and fixed effects in difference-in-difference model, we find that the program reduces the accident rates by 0.34%p, which amount to a decline of 15.8% in total accident rates.

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