• Title/Summary/Keyword: 성향점수매칭

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The Effect of On-the-Job Training on Employment Status and Employee Retention (재직자 직업훈련이 취업 및 이직에 미치는 영향)

  • Yang, Yonghyun;Choi, Koangsung;Choe, Chung
    • Journal of Labour Economics
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    • v.42 no.3
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    • pp.75-98
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    • 2019
  • This paper examines the impact of on-the-job training (OJT) programs on turnover rates and employment status in the labor market. Exploiting the administrative data (the Employment Insurance Database), we apply the propensity score matching method to investigate 1) whether OJT participation increases the probability of remaining in the labor market after the job training, and 2) whether trainees are more likely to transition to a new employer. Our findings reveal positive effects of OJT on the continuous employment (2.4~5.3%p). We also observe that trainees show lower rates of turnover for some part of the study period, from 2008 to 2015.

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정보의 제공은 판매자에게 도움이 되는가? 전자상거래에서의 판매 보조 도구 효과성 실증 분석

  • Park, Jae-Sang;Yu, Byeong-Jun
    • 한국벤처창업학회:학술대회논문집
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    • 2021.04a
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    • pp.143-146
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    • 2021
  • 전자상거래는 긴 역사에도 불구하고, 최근의 기술적 발달과 함께 COVID-19로 촉발된 사회경제적 변화로 인해 다시 한번 급속한 성장과 더불어 많은 주목을 받고 있다. 이러한 과정에서 소상공인들을 비롯한 판매자들은 전자상거래에 참여하여 판매를 하고자 노력하고 있다. 하지만 오프라인 상거래와는 달리, 온라인에서의 판매는 디지털 데이터를 비롯하여 정보통신(IT)에 대한 이해가 수반되어야 용이한 특징을 지닌다. 이에, 본 연구는 판매자를 돕기 위해 개발된 판매 보조 도구가 실제로 온라인에서 판매자들의 실적을 돕는지 알아보고, 이에 따라 전자상거래 플랫폼 운영사는 판매자의 판매를 어떤 방식으로 도와 성공적으로 플랫폼을 운영할뿐만 아니라 사회 전체적인 경제 효익을 증대시킬 수 있는지에 관한 시사점을 주고자 한다. 본 연구에서는 전자상거래에서 판매자에게 의사결정에 도움이 되는 도구들이 제공되어 이를 사용할 경우에 판매액(매출)를 비롯한 다양한 성과 측정 척도에서 유의미한 개선이 이루어지는가를 실증적으로 분석하고자 한다. 엄밀한 분석을 위해 성향점수매칭법과 이중차분법을 활용하여 판매자들의 데이터를 분석할 것이다. 이를 통해 의사결정 지원 시스템이 전자상거래 판매자에게도 유효한지 실증적으로 알아보고, 나아가 전자상거래 플랫폼 운영사에게도 경영 측면에서의 시사점을 줄 수 있을 것이다.

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Effects of the Continuity of Care on Hospital Utilization : Convergence A Propensity Score Matching Analysis (진료지속성이 의료이용에 미치는 영향 : 융복합 성향점수매칭 방법 적용)

  • Ahn, Lee-Su
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.323-332
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    • 2015
  • This paper examines the level of the primary care continuity for patients with high blood pressure and the effects of the primary care continuity on their convergence health outcomes. We conducted a retrospective cohort study. A total of 315,791 patients who had received new diagnoses of hypertension. We determined standard indices of continuity of care-MFPC, MMCI, and COC and evaluated their association with study outcomes over three years of follow-up. Outcome measures included hospitalization and emergency room visits. The result of the primary care continuity levels and hazard ratios of health outcome showed that, comparing continuity group, non-continuity group had higher rates of hospitalization by 1.655(95% CI: 1.547-1.771) and emergency room visits by 1.669(95% CI: 1.465-1.903). This paper argues that medical costs of chronic diseases will reduce if low continuity of care turns into high continuity of care.

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.

Analysis on the Effect of EITC(Earned Income Tax Credit) on Work Incentive -Focus on the second policy that was revised in 2011- (근로장려세제(EITC)의 근로유인 분석 -2차 개정안 근로시간 증감 비교-)

  • Kim, Gun-Tai;Kim, Yun-Young
    • The Journal of the Korea Contents Association
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    • v.17 no.8
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    • pp.382-395
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    • 2017
  • This study tries to analyze whether the Earned Income Tax Credit (EITC), which was modified in 2011, has the effect of work incentive. In this sense, by establishing the 8th Wave of Korea Welfare Panel Study (2013) and the 9th Wave (2014), Furthermore, in order to overcome the methodological limit, the results of two-party analysis method will be compared by firstly carrying out multiple regression analysis and then performing propensity score matching analysis. The 535 households out of 6,025 were selected. The following are the results of multiple digression analysis and propensity score matching analysis. First, there was no statistically meaningful relationship with regard to the perception of the EITC. Second, there was a statistically meaningful result in the reduction of working hours with regard to whether a household received labor incentive or not. The study found that the revised EITC is not providing incentives which stimulates the will to work.

The Effects of Government Financial Support on the Performance of Industry-University Cooperation: Focus on LINC Program (정부 재정지원이 산학협력 성과에 미치는 영향 분석: 산학협력 선도대학 육성사업을 중심으로)

  • Moon, Hyungjin;Lee, Heesang
    • Journal of Technology Innovation
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    • v.24 no.3
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    • pp.29-52
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    • 2016
  • As Industry-University Cooperation (IUC) has been emphasized for securing national competitiveness in a knowledge-based economy, the South Korean government has promoted related policies, including a financial support program for facilitating IUC activities. This study examines the effects of Leaders in INdustry-university Cooperation (LINC) program, which is one of the government financial support programs for IUC, on the performance of IUC by propensity score matching. The results show that LINC program positively influences the number of technology transfers and the number of faculty that participated in start-ups. The results of this study are expected to provide implications for improving IUC policies and the financial support program.

Analysis of the Effect of Farmers' Use of Information Devices on the Sales of Agricultural Products (농가의 정보화 기기 활용이 농산물 판매에 미치는 효과 분석)

  • Seong-Hyuk Hwang;Jongin Kim
    • Journal of Industrial Convergence
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    • v.21 no.9
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    • pp.133-142
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    • 2023
  • The use of digital information technology has become important in order to effectively respond to changes in production conditions in Korean agriculture, which are continuously worsening due to a decrease in the rural population, deepening aging, and climate change. Accordingly, this study analyzed the factors affecting farmers' adoption of information devices use and the effect of information devices use on agricultural product sales using the propensity score matching method. As a result of the analysis, it was found that low-age farmers, high-education farmers, and leading farmers are highly likely to adopt use of information devices. For farms with similar characteristics such as age, management size, and farming type, it has been confirmed that farms that have adopted information devices use in agricultural management have higher sales of agricultural products. Therefore, increasing farmers' access to information and the ability to use information devices provides implications that farm income can be improved. The government's informatization support project in the agricultural and rural sectors is important so that farmers can have the ability to distribute informatization devices and utilize agricultural information, and active investment should also be made in information infrastructure.

The effect of policy on Korean personal assistance service for persons with disabilities of labor market participation (장애인활동지원서비스제도의 노동시장 참여에 대한 정책효과)

  • Kim, Song Sook;Kim, Yoo-Min;Na, Ga-Yeon;Baek, Seung-Hee;Lee, Kun-Chul
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.267-274
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    • 2021
  • This study used data from the 6rd and 12th year of the Korean Welfare Panel to evaluate the effects of the Personal Assistance Service(PAS) system on the labor market of PAS users' participation. For the purpose of this study, 64 program groups using the Korean PAS and 344 control groups not using the Korean PAS were selected using Caliper matching among the propensity score matching. A chi-square test was used for the difference in characteristics between groups, and a simple difference-in-differences (DID) model and a double-difference multiple regression analysis of DID were performed to estimate the effect of thepolicy before and after the Korean PAS. As a result of the study, it was found that statistically, PAS had no significant effect on the labor market. This is due to the low number of system users, resulting in low post-hoc power, incomplete matching and limited availability of PAS Assistants for Disabled People. Therefore, In order to demonstrate the effectiveness of the Personal Assistance Service(PAS) system, specialized services and systems that meet the needs of the disabled and household members should be implemented.

Analysis of Employment Effect on Assistive Technology Program for the Disabled Using Propensity Score Matching (성향점수 매칭을 이용한 보조공학기기 지원사업의 고용효과 분석)

  • Jun, Y.H.;Rhee, K.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.7 no.2
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    • pp.133-138
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    • 2013
  • This study was aimed to examine effects of the assistive technology program that has purpose to maintain and promote employment of persons with disabilities. An administrative data constructed by the Korea Employment Agency for the Disabled(KEAD) was utilized. Propensity score matching were used as analysis methods to minish sample selection bias caused by nonrandom sampling. As a result, turnover rate of people with disabilities who used assistive technology device was lower compared to persons with disabilities did not use assistive technology device. Also, in terms of company, for employment promotion effect on the persons with disabilities, company that provided assistive technology device was higher than that of company did not provide assistive technology device. Finally, assistive technology devices were effective in the employment area was confirmed.

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