• 제목/요약/키워드: equity estimation

검색결과 41건 처리시간 0.023초

다중 평가지표에 기반한 도로용량 증대 소요예산 추정 (Budget Estimation Problem for Capacity Enhancement based on Various Performance Criteria)

  • 김주영;이상민;조종석
    • 대한교통학회지
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    • 제26권5호
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    • pp.175-184
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    • 2008
  • 도로용량 증대를 위한 소요예산 추정문제는 관련주체인 이용자와 공급자의 입장을 모두 반영할 필요가 있다. 본 연구에서는 총통행시간, 형평성, 환경비용을 평가지표로 설정하고, 3가지 평가지표에 대한 관련주체의 요구사항이 만족되는 대안 중 소요예산을 최소화하는 최적 도로용량 증대 대안을 선정하는 문제를 모형화하였다. 일반적으로 도로용량 증대를 위한 소요예산 추정문제는 Network Design Problem(NDP)로 다루어지며, 이용자와 공급자의 다른 입장을 고려하기 위해 Bi-level 최적화문제로 모형화된다. 본 연구에서는 장래 교통수요의 불확실성을 반영하기 위해 확률모형(Stochastic model)을 적용하고, 평가지표별 신뢰도를 차별화하기 위해 Chance-constrained model(CCM)를 적용하였으며, 3가지 평가지표의 제약식을 만족하면서 소요예산을 최소화하는 목적함수를 만족하는 최적대안을 선정하기 위해 렉시코그라픽(Lexicographic) 최적화문제로 접근하였다. 예제 네트워크를 통하여 분석한 결과, 평가지표별 신뢰도 및 교통수요 변화율이 클수록 더욱 많은 소요예산이 요구되며, 평가지표별 신뢰도가 클수록 장래 교통수요의 변화에 더욱 탄력적으로 대응할 수 있는 대안이 선정되었다. 제안된 모델은 다양한 관련주체의 입장을 모두 고려한 최적 도로용량 증대 대안과 소요예산을 선정함과 동시에, 도로용량 증대량의 변화에 따른 평가지표간 상쇄관계(Tradeoff)와 도로 네트워크 개선을 위한 예산 배분의 포트폴리오를 정책결정자에게 제공 가능하다.

의료서비스에 대한 접근성의 형평 분석 (Equity of Access to Health Services under National Health Insurance System in Korea)

  • 장동민;문옥륜
    • 보건행정학회지
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    • 제6권1호
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    • pp.110-143
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    • 1996
  • The purpose of this study is to assess the extent of inequality in health outcomes and the distribution of health services according to health need under National Health Insurance System in Korea. For the empirical analysis, data were collected through an interview survey during one month of October, 1994. Interview were conducted with a total of 10, 875 of the employees and the self-employed selected through cluster, systematic sampling. The major findings of this research are as follows: 1. The analysis of the differentials in morbidity rates by socio-economic group showed that health inequality in the pro-higher groups existed in all self-reported morbidity indicators. 2. The findings of the conventional use measures showed that the lower socio-economic groups had more ambulatory and inpatient services than the higher groups. In contrast to the level of the medical care utilization, however, the higher socio-economic groups were more likely to use the high-quality source of care in terms of their treatment place compared to the lower groups. 3. By using the need-based use measures, the results were different from each use-disability ration indicator. Using the use-disability ration measured by physician visits per 100 restricted-activity days in the population, it was found that there was no evidence favoring the higher socio-economic groups. In contrast, the use-disability ration based on physician visits per a chronic patient in one year displayed that there was remarkable relative difference by income group as well as the evidence of the pro-higher income groups. 4. The results of logistic regression analysis and two-stage estimation method indicated that although the utilization is significantly affected by type and duration of insurance coverage, the use or nonuse of service and the volume of physician care consumed is determined by health need and demographic characteristics rater than economic status. In sum, these findings suggest that physician service is equitably distributed according to health need under national health insurance system in Korea. As there were some evidences of inequality including the differential in physician visits of chronic patients by income group, however, the government should strengthen the activities to guarantee the equity of health services utilization.

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한국의 소득수준 간 의료이용 차이의 계량적 분석: 2015 (Econometric Analysis of the Difference in Medical Use among Income Groups in Korea: 2015)

  • 오영호
    • 보건행정학회지
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    • 제28권4호
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    • pp.339-351
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    • 2018
  • Background: The purpose of this study is to estimate empirically whether there is a difference in medical use among income groups, and if so, how much. This study applies econometric model to the most recent year of Korean Medical Panel, 2015. The model consists of outpatient service and inpatient service models. Methods: The probit model is applied to the model which indicate whether or not the medical care has been used. Two step estimation method using maximum likelihood estimation is applied to the models of outpatient visits, hospital days, and outpatient and inpatient out-of-pocket cost models, with disconnected selection problems. Results: The results show that there was the inequality favorable to the low income group in medical care use. However, after controlling basic medical needs, there were no inequities among income groups in the outpatient visit model and the model of probability of inpatient service use. However, there were inequities favorable to the upper income groups in the models of probability of outpatient service use and outpatient out-of-pocket cost and the models of the number of length of stay and inpatient out-of-pocket cost. In particular, it shows clearly how the difference in outpatient service and inpatient service utilizations by income groups when basic medical needs are controlled. Conclusion: This means that the income contributes significantly to the degree of inequality in outpatient and inpatient care services. Therefore, the existence of medical care use difference under the same medical needs among income groups is a problem in terms of equity of medical care use, so great efforts should be made to establish policies to improve equity among income groups.

FDI Spillover Effects on the Productivity of the Indian Pharmaceutical Industry: Panel Data Evidence

  • DESAI, Guruprasad;SRINIVASAN, Palamalai;GOWDA, Anil B
    • The Journal of Asian Finance, Economics and Business
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    • 제9권8호
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    • pp.109-121
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    • 2022
  • The study empirically examines the horizontal spillover effects of foreign direct investment (FDI) on the productivity of Indian pharmaceutical firms. Robust least squares and the Generalized Method of Moments estimators are applied for the firm-level panel data of Indian pharmaceutical companies whose shares were traded on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). The information was collected from the Centre for Monitoring Indian Economy (CMIE) Prowess database from 2015 to 2019. Based on the regularity in data availability, the sample firms are limited to 112 companies, 100 of which are domestic firms and 12 international firms. Firms with more than 10 percent foreign equity are classified as FDI firms, while those with less than that are classified as domestic firms. Estimation results show that foreign ownership does not contribute to the productivity of domestic firms. Due to increased competition, the Indian pharmaceutical companies with foreign equity participation are not more productive than local ones. Moreover, the findings reveal a negative and insignificant horizontal spillover effect from FDI on the productivity of domestic enterprises. The absence of horizontal spillovers may be attributable to foreign enterprises' ability to prevent technological outflow to competitors in the same industry.

제품혁신이 기업의 수익 및 재무안정성에 미치는 영향 (The Impact of Corporate Product Innovation on the Firm's Revenue and Financial Stability)

  • 임동근;정진화
    • 기술혁신연구
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    • 제25권4호
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    • pp.239-261
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    • 2017
  • 본 연구는 제품혁신에 초점을 맞추어 기술혁신이 기업의 수익과 재무안정성에 미치는 영향을 분석하고 기업의 지속성장을 위한 전략적 시사점을 도출하는 데 목적이 있다. 제품혁신은 신제품개발 및 도입으로 정의한다. 기업의 수익은 종업원 1인당 매출액과 매출액 증가율로 측정하고, 재무안정성은 자기자본대비 부채비율과 유동비율로 측정한다. 실증분석은 제품혁신의 내생성을 고려하여 2단계 추정법을 사용하였고, 분석자료는 "인적자본기업패널(HCCP)"의 1차(2005년)~6차(2015년) 자료와 한국신용평가(주)의 기업재무자료를 병합한 자료이다. 분석결과에 의하면, 제품혁신은 기업의 지식자본스톡과 인적자원투자, 시장선도전략 등에 영향을 받으며, 제품혁신이 활발히 이루어지는 기업일수록 1인당 매출액과 매출액 증가율이 높고 부채비율은 낮으며 유동비율이 높다. 이러한 분석결과는 기술혁신투자와 이를 통한 제품혁신이 기업의 단기수익 창출 및 장기적인 재무안정성을 촉진하는 중요한 전략이라는 것을 의미한다.

Barrier Option Pricing with Model Averaging Methods under Local Volatility Models

  • Kim, Nam-Hyoung;Jung, Kyu-Hwan;Lee, Jae-Wook;Han, Gyu-Sik
    • Industrial Engineering and Management Systems
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    • 제10권1호
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    • pp.84-94
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    • 2011
  • In this paper, we propose a method to provide the distribution of option price under local volatility model when market-provided implied volatility data are given. The local volatility model is one of the most widely used smile-consistent models. In local volatility model, the volatility is a deterministic function of the random stock price. Before estimating local volatility surface (LVS), we need to estimate implied volatility surfaces (IVS) from market data. To do this we use local polynomial smoothing method. Then we apply the Dupire formula to estimate the resulting LVS. However, the result is dependent on the bandwidth of kernel function employed in local polynomial smoothing method and to solve this problem, the proposed method in this paper makes use of model averaging approach by means of bandwidth priors, and then produces a robust local volatility surface estimation with a confidence interval. After constructing LVS, we price barrier option with the LVS estimation through Monte Carlo simulation. To show the merits of our proposed method, we have conducted experiments on simulated and market data which are relevant to KOSPI200 call equity linked warrants (ELWs.) We could show by these experiments that the results of the proposed method are quite reasonable and acceptable when compared to the previous works.

종합전문병원 간호사 확보수준에 영향을 미치는 요인 (Analysis of the factors that influence on the RN staffing level in the Specified general Hospitals)

  • 김윤미
    • 간호행정학회지
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    • 제6권1호
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    • pp.147-159
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    • 2000
  • This paper studied the factors that influence on RN staffing level in the 43 Specialized general hospitals. Market structure was analysed using the monopsony model. The degree of competition was estimated by Herfindal Index and market was defined as Great medical zone. As the result of the estimation, in the more competitive hospital market hospitals employed the higher level of RN staffing, so monopsony model was supported. Hospitals with above 1001bed employed more RN than hospitals with below 700bed did. Hospital type, hospital union and the number of medical doctor did not affect the level of RN staffing. There was positive correlation between the level of RN staffing and the number of nurse's aid. The structure of RN market in Specified general hospitals was proved monopsony market, it seems that government regulation will be needed to improve social efficiency and equity.

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브랜드 선택확률 분석을 위한 구조방정식 모형 (Estimation of a Structural Equation Model Including Brand Choice Probabilities)

  • 이상호;이혜선;김윤대;전치혁
    • 대한산업공학회지
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    • 제36권2호
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    • pp.87-93
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    • 2010
  • The partial least squares (PLS) method is popularly used for estimating the structural equation model, but the existing algorithm may not be directly implemented when probabilities are involved in some constructs or manifest variables. We propose a structural equation model including the brand choice as one construct having brand choice probabilities as its manifest variables. Then, we develop a PLS-based algorithm for the structural equation model by utilizing the multinomial logit model. A case is introduced as an application and simulation studies are performed to validate the proposed algorithm.

Model Averaging Methods for Estimating Implied and Local Volatility Surfaces

  • Kim, Nam-Hyoung;Lee, Jae-Wook;Han, Gyu-Sik
    • Industrial Engineering and Management Systems
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    • 제8권2호
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    • pp.93-100
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    • 2009
  • In this paper, we review widely used methods to extract local volatility surfaces (LVSs) from implied volatility surfaces (IVSs) and suggest a model averaging method for constructing implied and local volatility surfaces weighted by trading volumes. It makes use of model averaging method by means of bandwidth priors, and then produces a robust LVS estimation. The method is shown to provide the information about the confidence interval of estimators as well as a rather less variable weighted mean value for the IVS and LVS. To show the merits of our proposed method, we conduct simulations on equity-linked warrants (ELWs) with reasonable and acceptable results.

SEO공시 전후의 주가변화에 대한 실증분석 (A Empirical Analysis on the Effect of Seasoned Equity Offering on the Stock's Price)

  • 신연수
    • 산업융합연구
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    • 제1권1호
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    • pp.127-142
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    • 2003
  • This Study examines the implications for event studies using the daily stock data. The output present the event study results. The event period is defined from 30 days before through 30 days after the event date, and is broken into four "windows" for abnormal return cumulation: the pre-event period, days -30 through -2; dajys -1 and 0, a period commonly investigated for the immediate impact of the event; and the post-event period, days +1 through +30. It shows how firm's information offerings affect the price process and consequent issues. The Patell Z test is an examples of a standardized abnormal return approach, which estimate a separate standard error for each security-event and assumes cross-sectional independence. The generalized sign test adjusts for the fraction of positive abnormal returns in the estimation period instead of assuming 0.5.

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