• 제목/요약/키워드: panel fixed effects model

검색결과 135건 처리시간 0.025초

한.ASEAN FTA가 광양항 수출에 미치는 영향: 패널중력모형과 전향적 이동회귀의 적용 (Effects of Korea-ASEAN FTA on Export via Gwangyang Port: Application of the Panel Gravity Model and Rolling Regression)

  • 박홍균;김창범
    • 한국항만경제학회지
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    • 제30권2호
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    • pp.133-143
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    • 2014
  • 우리나라는 주요 선진국들이 지역주의를 확산시키고, FTA 체결 회원국 전체의 경제적 부가가치를 증대시킬 수 있다는 점에서 FTA를 적극적으로 추진하고 있다. 우리나라의 현재 FTA 추진 현황은 발효 9건, 타결 3건, 협상진행 6건, 협상재개 여건조성 3건, 협상준비(공동연구 포함) 4건으로, 한 중 FTA이 체결된다면 우리나라의 FTA 교역 비중은 조만간 전체 교역의 50%를 넘어설 것으로 예상된다. 그리고 우리나라 무역의 대부분이 해상을 통해서 이루어짐을 감안할 때 항만을 통한 무역패턴과 수출효과를 파악할 필요가 있다. 최근에는 전통적인 교역이론에서 고려되지 않았던 거리적 위치, 운송비용, 인구 수, 문화적 요인이 교역패턴에 영향을 미친다는 중력모형의 적용이 많이 늘어나고 있다. 이러한 배경 하에서 본고는 패널중력모형을 이용하여 광양항의 주요 교역 상대국의 수출결정요인을 식별하고, FTA가 광양항 수출에 미치는 영향의 크기를 분석하였다. 분석결과, 패널 수준변수들은 불안정적이고 1차 차분 후 안정성을 회복하였다. 다음 단계로 패널 공적분 검정을 통해 패널 수준변수들의 장기적 균형 관계가 존재함을 알 수 있었으며, 하우스만 검정을 통하여 고정효과 모형이 적합함을 밝힐 수 있었다. 패널중력모형 분석결과, 중력모형의 기본전제가 양호하게 성립하고, 지역무역협정의 수출증대 효과가 존재하는 것을 확인할 수 있었다.

패널자료를 이용한 사업의 효과성 분석 : 산업융합원천기술개발사업을 중심으로 (Evaluation of Program Effectiveness Using Panel Data : Focused on Fusion Technology Program)

  • 김흥규;강원진;배진희
    • 산업경영시스템학회지
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    • 제37권3호
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    • pp.122-128
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    • 2014
  • When evaluating effectiveness of a program, there is a tendency to simply compare the performances of the treated before and after the program or to compare the differences in the performances of the treated and the untreated before-after the program. However, these ways of evaluating effectiveness have problems because they can't account for environmental changes affecting the treated and/or effects coming from the differences between the treated and the untreated. Therefore, in this paper, panel data analysis (fixed effects model) is suggested as a means to overcome these problems and is utilized to evaluate the effectiveness of fusion technology program conducted by Ministry of Trade, Industry and Energy, Korea. As a result, it turns out that the program has definitely positive impacts on the beneficiary in terms of sales, R&D expenditure, and employment.

The EU-South Korea FTA: Which Sector Benefits the Most?

  • Evert, Janik;Oh, Jinhwan
    • Journal of Korea Trade
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    • 제23권2호
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    • pp.76-87
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    • 2019
  • Purpose - This study empirically analyzes the effects of the European Union-South Korea Free Trade Agreement on Korean exports in major sectors. Design/Methodology - This study is based on the augmented gravity model with a panel data set covering 51 countries between the years 2000 and 2015. Findings - Main findings of the present study is that the agreement has affected the chemical sector the most. Fixed effects estimation predicted a positive trade effect of 38.3%, while Poisson maximum likelihood estimation predicted an impact of 4.75% in the chemical export sector. Regression results for the other sectors only show insignificant effects. Originality/value - The findings imply that the effects of the EU-South Korea free trade agreement on the Korean exports are quite specific compared to the European ones, meaning that the Korean government should focus on sector-specific programs to maximize the welfare benefits of the free trade agreement.

Bayesian Inference for Censored Panel Regression Model

  • Lee, Seung-Chun;Choi, Byongsu
    • Communications for Statistical Applications and Methods
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    • 제21권2호
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    • pp.193-200
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    • 2014
  • It was recognized by some researchers that the disturbance variance in a censored regression model is frequently underestimated by the maximum likelihood method. This underestimation has implications for the estimation of marginal effects and asymptotic standard errors. For instance, the actual coverage probability of the confidence interval based on a maximum likelihood estimate can be significantly smaller than the nominal confidence level; consequently, a Bayesian estimation is considered to overcome this difficulty. The behaviors of the maximum likelihood and Bayesian estimators of disturbance variance are examined in a fixed effects panel regression model with a limited dependent variable, which is known to have the incidental parameter problem. Behavior under random effect assumption is also investigated.

2008-2017 패널분석 결과에 나타난 개인-직무 적합성과 직무만족 간의 관계 (A Study on the Relationship between Person-Job Fit and Job Satisfaction shown in the Panel Data for 2008-2017)

  • 취칭칭;이정현
    • 아태비즈니스연구
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    • 제10권4호
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    • pp.87-118
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    • 2019
  • The purpose of this study is to examine the effects of person-job fit, which consists of educational fit and skill fit, on employees' intrinsic job satisfaction. To the end, the 10-year balanced panel data of the Korean Labor and Income Panel Study(KLIPS) by the Korea Labor Institute (KLI) for 2008-2017 are utilized. This study analyzes 12,730 observations by 1,273 employees by using fixed effect model, random effect model, and pooled OLS estimation method. The empirical results are as follows: First, it is founded that educational fit and skill fit seem affect job satisfaction positively. Second, the negative effects of over-education are clear and the negative effects of under-education are unclear, while the effects of over-skilled and under-skilled are insignificant statistically. Third, the results imply that the size of effect of over-education on intrinsic job satisfaction is larger than that of the effect of over-skilled. Forth, it is shown that the use of fixed effect model is more effective and trustworthy than that of random effect model and pooled OLS estimation method, implying that the effect size of coefficients which are estimated by pooled OLS method and random effect model are likely over-estimated. The empirical results above imply that firms and employees should focus on solving over-education issue before all in order to enhance employees' job satisfaction and it is needed to monitor regularly whether systemic job assignment process is done based on the employees' educational attainment and skill level and to provide more chances for job re-allocation and job rotation.

한방외래의료 이용의 사회경제적 결정요인 연구: 의료패널자료를 이용한 고정효과모형과 합동 Ordinary Least Square 모형의 비교 (Socioeconomic Determinants of Korean Medicine Ambulatory Services: Comparing Panel Fixed Effect Model with Pooled Ordinary Least Square)

  • 박민정;권순만
    • 보건행정학회지
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    • 제24권1호
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    • pp.47-55
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    • 2014
  • Background: Korea is considered to have an integrative health system where both western medicine and Korean (traditional) medicine are officially recognized and provided. Although Korean medicine has been covered by National Health Insurance over 20 years, equity in the utilization of Korean medical care has rarely been examined. Methods: We examined medical care utilization and expenditure of outpatient Korean medicine using panel fixed effects model to remove selection bias. Then we compared it with pooled ordinary least square (OLS) model. This study used Korea Health Panel data, which provides accurate information on out-of-pocket health care payment, including non-covered medical services. Results: Principal findings indicate that the frequency of the utilization of Korean medicine is related with unobservable individual choices different from western medicine, so the panel fixed effect model is appropriate. But pooled OLS model is better fitted for the expenditure of Korean medicine, after controlling for western medical care expenditure. After adjusting for the selection bias, socioeconomic status (income, education) was significantly associated with the expenditure of Korean medicine, but not with the frequency of the utilization of Korean medicine. Conclusion: This study shows that expenditure of Korean medicine utilization is inequitable across socioeconomic groups, which implies that health insurance coverage of Korean medicine is not sufficient.

Korean Welfare Panel Data: A Computational Bayesian Method for Ordered Probit Random Effects Models

  • Lee, Hyejin;Kyung, Minjung
    • Communications for Statistical Applications and Methods
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    • 제21권1호
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    • pp.45-60
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    • 2014
  • We introduce a MCMC sampling for a generalized linear normal random effects model with the ordered probit link function based on latent variables from suitable truncated normal distribution. Such models have proven useful in practice and we have observed numerically reasonable results in the estimation of fixed effects when the random effect term is provided. Applications that utilize Korean Welfare Panel Study data can be difficult to model; subsequently, we find that an ordered probit model with the random effects leads to an improved analyses with more accurate and precise inferences.

Panel Data 분석을 통한 홍수피해와 복구비 관계분석 (Panel Data Analysis between Flood Damage and Recovery Cost)

  • 박두호;김선영
    • 한국수자원학회논문집
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    • 제44권1호
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    • pp.1-8
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    • 2011
  • 본 연구는 패널자료(15개 시도의 20년간 자료)를 이용하여 홍수피해 비용과 복구비와의 상관관계에 대한 분석을 시도하였다. 패널 분석은 자료의 성격에 따라 고정효과모형 또는 확률효과모형을 사용하지만 본 분석은 두 모형을 함께 추정하였다. 예상대로 모든 변수들은 복구비와 정의 상관관계를 보였지만 사망자수와 이재민 수는 유의하지 않거나 오히려 음의 상관관계를 보이기도 하였다. 그리고 공공시설의 피해가 가장 중요한 인자였다. 무엇보다 중요한 것은 우리나라의 경우 복구비가 피해액이나 투자액에 비해 항상 높다는 것이다. 우리나라와는 반대로 일본의 경우 복구비가 가장 낮고 투자비가 가장 높다는 점을 미루어 볼 때 결국 적절한 투자가 향후 홍수피해는 물론 복구비도 낮출 수 있다는 점을 확인할 수 있었다.

2012년 화장품법 개정의 제품혁신 효과 (The Effect of 2012 Cosmetics Act Amendment on Product Innovation)

  • 최동욱
    • 산업진흥연구
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    • 제9권1호
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    • pp.81-87
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    • 2024
  • 본 연구는 기업의 자율성을 강화하는 내용은 담은 2012년 화장품법 전면 개정이 화장품 산업에 가져온 혁신 효과를 실증적으로 검증해보고자 한다. 2008년-2014년 식품의약품안전처의 화장품 생산실적 자료를 이용하여 패널고정효과 모형을 추정한 결과, 법 개정 이후 화장품 제조업체 당 평균 생산액과 생산량 등 생산실적이 유의하게 증가함을 확인하였다. 또한 법 개정에 따라 화장품 제조업체의 제품혁신 성과, 즉 품목 수와 신제품 수가 모두 유의하게 증가하는 것도 확인할 수 있었다. 추가적으로 혁신을 유발하는 하나의 경로로서 잠재시장의 확대를 살펴보았다. 분석 결과, 화장품법의 개정과 화장품 시장의 잠재적인 규모가 양의 상관관계를 가지며, 잠재시장규모의 증가는 기업의 혁신 활동을 증가시킴을 확인할 수 있었다. 본 연구의 결과는 정부의 제도 개선이 산업의 혁신과 진흥에 긍정적인 영향을 줄 수 있다는 점을 보여준다.

Macroeconomic and Bank-Specific Variables and the Liquidity of Jordanian Commercial Banks

  • AL-QUDAH, Ali Mustafa
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.85-93
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    • 2020
  • This study aimed to explore the impact of macroeconomic (Real GDP growth (GDPG), Inflation rate (INF)) and bank -specific variables (profitability (ROA), capital adequacy (CADEQ), non-performing loans (NPL), deposit growth (DEPG)) on the liquidity (lIQ) of 13 listed Jordanian commercial banks for the period 2011-2018. Panel data analysis, Pooled least square, fixed effects model and random effects model, Lagrange multiplier test, and Hausman test were used. The random effects model output shows that, macroeconomic variables have a significant impact on Jordanian commercial banks liquidity since inflation has a positive impact while GDPG has a negative impact on banks (LIQ). On the other hand among the bank-specific variables capital adequacy and deposit growth have a positive significant impact on banks (LIQ), while (NPL) and (SIZE) have a negative significant impact on Jordanian commercial banks liquidity. But ROA has a negative insignificant impact on (LIQ). The findings of the study suggest that commercial banks departments need to pay attention to the economic and internal variables of banks in order to maintain acceptable levels of liquidity.