• Title/Summary/Keyword: 패널추정

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Analysis on Affecting Factors for the Income and Farming Scale Using the Panel Model (패널모형을 이용한 농업계 대학 졸업생의 소득과 영농규모에 영향을 미치는 요인 분석)

  • Jung, Da-Eun;Kang, Chang-Soo;Yang, Sung-Bum;Park, Yong-Soo
    • Smart Media Journal
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    • v.11 no.4
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    • pp.56-61
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    • 2022
  • The purpose of this study is to analyze affecting factors on the income, farming scale, and farming implementation of graduates of the Korea National College of Agriculture and Fisheries using panel model. For this, we used a generalized estimation equation among the panel analysis methods. The factors that have a positive (+) effect on income were men, married people, and successive farmers. In the case of parents' cooperative farming, dairy farming or poultry farming, matching the major at the time of graduation with the main items, the income was also high. Factors that have a positive (+) effect on farming scale were unmarried people, parents' cooperative farming, aquaculture cultivation, and poultry farming. The factors that implemented the mandatory farming implementation well were men, married people, parents' cooperative farming, aquaculture cultivation, and pig farming. Through the results of this study, it will be possible to help manage and support graduates and enrolled students.

Analysis of medical panel binary data using marginalized models (주변화 모형을 이용한 의료 패널 이진 데이터 분석)

  • Chaeyoung Oh;Keunbaik Lee
    • The Korean Journal of Applied Statistics
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    • v.37 no.4
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    • pp.467-484
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    • 2024
  • Longitudinal data are measured repeatedly over time from the same subject, so there is a correlation from the repeated outcomes. Therefore, when analyzing this correlation, both serial correlation and between-subject variation must be considered in longitudinal data analysis. In this paper, we will focus on the marginalized models to estimate the population average effect of covariates among models for analyzing longitudinal binary data. Marginalized models for longitudinal binary data include marginalized random effects models, marginalized transition models, and marginalized transition random effect models, and in this paper, these models are first reviewed, and simulations are conducted using complete data and missing data to compare the performance of the models. When there were missing values in the data, there is a difference in performance depending on the model in which the data was generated. We analyze Korea Health Panel data using marginalized models. The Korean Medical Panel data considers subjective unhealthy responses as response variables as binary variables, compares models with several explanatory variables, and presents the most suitable model.

Estimating Carbon Sequestration in Forest using KOMPSAT-2 Imagery (KOMPSAT-2 영상을 이용한 산림의 이산화탄소 흡수량 추정)

  • Kim, So-ra;Lee, Woo-kyun;Kwak, Han-bin;Choi, Sung-ho
    • Journal of Korean Society of Forest Science
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    • v.98 no.3
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    • pp.324-330
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    • 2009
  • The objective of this study is to estimate the carbon sequestration in forest stands using KOMPSAT-2 imagery. For estimating the amount of carbon sequestration, the stand biomass of forest was estimated with the total weight, which was the sum of individual tree weight. Individual tree volumes could be estimated by the crown width extracted from KOMPSAT-2 imagery. In particular, the carbon conversion index and the ratio of the $CO_2$ molecular weight to the C atomic weight, reported in the Intergovernmental Panel on Climate Change (IPCC) guideline, was used to convert the stand biomass into the amount of carbon sequestration. Thereafter, the KOMPSAT-2 imagery was classified with the segment based classification (SBC) method in order to quantify carbon sequestration by tree species. This approach, estimating the amount of carbon sequestration for certain species in stand, can be available to extend plot-based carbon sequestration to stand-based carbon sequestration.

The Impact of Bilateral Free Trade Agreements on International Trade Volume of Bulk Shipment at the Port of Korea: Focusing on Korea's FTA with Singapore, India, and United States (한·단일국가 FTA체결에 따른 우리나라 벌크물동량 영향분석 : 싱가포르, 인도, 미국을 중심으로)

  • Lee, Kyong-Han;Choi, Nayoung-Hwan
    • Journal of Navigation and Port Research
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    • v.40 no.6
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    • pp.485-494
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    • 2016
  • The primary purpose of this study is to analyze the impact and determinants of bilateral Free Trade Agreements on international total bulk shipment trade volume at the port of Korea using the Panel Gravity Model. The model estimates the aggregated panel data of exports and imports (excluding transshipment) as a dependent variable during the period from 1996 to 2015. GDP, GDP per capita, distances between bilateral countries, and FTA dummies are included as independent variables. And the economic integration of FTAs including ASEAN+3 and NAFTA3 countries were used as dummy variables. Study results show that GDP and GDP per capita have positive impacts on bulk shipment trade volume at the port of Korea. In addition, Korea's bilateral FTAs with Singapore, India and the United States have positive effects on total bulk trade volume in Korea. This is the so called trade creation effect. On the other hand, ASEAN+3 and NAFTA have negative effects on the total bulk trade. This is the so called trade diversion effect. Also, the distance between Korea and its trade partners has a negative impact. These findings provide insights for: further academic research, site operators who work in related trade and maritime sectors, and policy makers engaged in port and maritime operations. The results can be used to develop strategies for maximizing bulk port throughput.

The Impact of Industrial Diversity to Unemployment and Employment Instability: An Analysis of Regional Economy Using Panel Regression Model (산업구조의 다양성이 실업과 고용불안정에 미치는 영향: 패널회귀모형을 이용한 지역경제 분석)

  • Ryu, Suyeol;Choi, Ki-Hong;Ko, Seung-Hwan;Yoon, Seong-Min
    • Journal of the Economic Geographical Society of Korea
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    • v.17 no.1
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    • pp.129-146
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    • 2014
  • This paper investigates how industrial diversity affects unemployment and employment instability from the perspective of the regional economy. Through this analysis, we examine how the industry-specific policy to promote some industry strategically in most of areas affects the stability of the regional economy. We measure Herfindahl indexes using the 1993-2010 data of 16 regions in Korea, and use panel regression model for empirical analysis. The main results from this empirical analysis are summarized as follows. First, we confirm that the industrial structure of most regions has been changed to the direction of specialization in 1990s and to the direction of diversification in 2000s through analyzing the changes in the values of Herfindahl indexes during the given period. Second, we find from the estimation results of panel regression model that the higher industrial diversity in most of regions is, the lower the unemployment rate is. However, a statistically significant relationship between industrial diversity and employment instability only partially confirmed. Third, there exist high unemployment rate and employment instability in most metropolitan areas, but it is hard to say that this relationship is highly statistically significant. From the results of the empirical analysis, it is likely that the industry-specific policies such as the regional strategic industry development policies unlike policy goals make the unemployment rate to rise and economic instability to increase. From the viewpoint of employment aspects, the strategies to increase industrial diversity would be desirable rather than those to specialize in the industrial structure.

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The determinants of the youth employment rate using panel tobit model (패널 토빗모형을 이용한 청년채용비율 결정요인 분석)

  • Park, Sungik;Ryu, Jangsoo;Kim, Jonghan;Cho, Jangsik
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.4
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    • pp.853-862
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    • 2017
  • In this study, we analyse the determinants of the youth employment rate of public agencies and local public enterprises. On the other hand the youth employment rate contains information of the youth employment rate and the size of the youth employment. We use pooled tobit model and panel tobit model since dependent variable is a censored form observed only in a certain area. The results of the analysis are summarized as follows. First, the panel tobit model is more statistically significant as compared to the combined tobit model. Second, the youth employment rate is more statistically significantly higher in 2014 and 2015 than in 2011. Third, the youth employment rate in public enterprises is more statistically significantly higher than that in local public agencies. Finally, the higher the average wage is, the lower the youth employment ratio is.

An Analysis on the Employment Relationship of Domestic and Foreign Workers in the Regional Labor Market Using Instrumental Variable Method (도구변수법을 이용한 지역 노동시장의 내외국인근로자 고용관계 분석)

  • Cho, Eunji;Lee, Chanyoung
    • Journal of Labour Economics
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    • v.44 no.2
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    • pp.33-69
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    • 2021
  • This study estimates the employment relationship of domestic and foreign workers by establishing 16 municipal and provincial panel data for the period 2010-2018. It attempts to analyze industry-specific (manufacturing and construction), scale-specific (5-29, 5-29, 5-299 and 5 above) and uses the foreign worker's national share (foreigner's concentration index) as an instrumental variable to control the endogeneity of foreign workers. Finally, it compares the results of panel GLS, which does not consider the endogeneity of foreign workers, with the results using instrumental variable method that considers it. As a result of the analysis, the complementary relationship between domestic and foreign workers was confirmed in the panel GLS analysis. However, although the employment relationship between domestic and foreign workers was not statistically significant in the instrumental variable method, the analysis of the combination of manufacturing and construction industry showed a statistically significant substitute relationship. This study is highly regarded for the first time in Korea that an instrumental variable method was created to identify and control the endogeneity of foreign workers in estimating employment relationships between domestic and foreign workers.

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A Dynamic Panel Approach to Examining the Effects of Local Fiscal Expenditures on Water Quality (동태적 패널접근을 활용한 지방 재정지출의 수질개선 효과분석)

  • Hyonyong Kang;Dong Hee Suh
    • Environmental and Resource Economics Review
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    • v.33 no.2
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    • pp.159-178
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    • 2024
  • This study aims to assess the direct and indirect impacts of local fiscal expenditures on water quality. Panel data spanning from 2010 to 2018 for 173 cities and districts in Korea are assembled, and a two-stage dynamic panel model is utilized for our estimation. The empirical findings reveal several key insights. Firstly, local fiscal expenditures on water quality are effective in ameliorating both Biological Oxygen Demand (BOD) and Total Phosphorus (T-P). Notably, the direct impact on T-P surpasses that on BOD in the short and long run. Secondly, expenditures dedicated to water quality improvement demonstrate a positive effect on local economic growth, and an inverted U-shaped relationship is observed between BOD and local economic growth. Due to the positive linkage, the indirect effect on BOD suggests, on average, a deterioration in water quality during local economic growth. Thirdly, concerning BOD, the direct effect of government expenditure on water quality improvement outweighs the indirect effect, but in the case of T-P, the indirect effect is not significant, and the total effect is solely determined by the direct impact. Despite local fiscal expenditures potentially exacerbating water quality through regional economic growth, the study finds that the direct enhancement of water quality remains a more substantial factor in the short and long run.

Subjective Mismatch Determinants and Wage Effect of Youth Employees (청년취업자의 주관적 미스매치 결정요인 및 임금효과 분석)

  • Hwang, Kwanghoon
    • Korean Journal of Labor Studies
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    • v.24 no.2
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    • pp.181-214
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    • 2018
  • This study uses the youth panel survey (YP2007 2th ~ 9th) data of the Korea Employment Information Service to examine the phenomenon of subjective mismatch arising from the youth labor market and analyzed the determinants and wage effects of subjective mismatch. Overall, the analysis showed that the over-education and over-technology of both educational background and technical skill level in the Miss Match significantly decreased, while the lack of education and technology increased rather gradually. Next, the analysis of the determinants of downward employment(Excess of education and technology) showed that males were less likely to be downwardly employed(Excess of education and technology) than females, and in the status of workers, the probability of downward employment of regular and non-wage workers was lower than that of temporary/daily workers. Finally, as a result of estimating the wage effect of the mismatch based on the pooled OLS model and the Panel Fixed Effect model, the mismatch which has the greatest effect on the wage was found to be excessive education, and it has been estimated that youth employees who are over-educated have an average 6.7% lower wages than those who are not. After controlling for the unobserved individual characteristics, they were found to receive a lower wage of 3.2%, and it is estimated that 2.9% for the technical excess mismatch and 2.3% for the major mismatch receive lower wages than the reference group.

Maximum-Likelihood Estimation using a Variance-Covariance Relationship of Stochastic elements within a panel (패널내 추계적 요인들의 공분산 관계에 의한 최우추정)

  • 이회경;이진우
    • Korean Management Science Review
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    • v.11 no.2
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    • pp.29-41
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    • 1994
  • This paper analyses the stochastic nature of the Permanent Income Hypothesis (PIH) by specifying the variance-covariance structure of PIH based on Hall and Mishkin[3]. Maximum likelihood is employed to estimate the model by explicitely incorporating the heteroscedastic nature of the data into the likelihood. The data used are individual Korean household consumption and income data. The results indicate that the data are generally consistent with the Permanent Income Hypothesis, and about 11 percent of the total variation in consumption may be attributable to the excess sensitivity of consumption to income.

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