• 제목/요약/키워드: Panel Data

검색결과 3,613건 처리시간 0.027초

패널자료를 이용한 지구별·업종별 수산업협동조합의 수익에 영향을 미치는 요인 분석 (Empirical Analysis on the Factors Affecting the Net Income of Regional and Industrial Fisheries Cooperatives Using Panel Data)

  • 김철현;남종오
    • 수산경영론집
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    • 제51권1호
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    • pp.81-96
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    • 2020
  • The purpose of this paper is to analyze factors affecting the net income of regional and industrial fisheries cooperatives in South Korea using panel data. This paper utilizes linear or GLS regression models such as pooled OLS model, fixed effects model, and random effects model to estimate affecting factors of the net income of regional and industrial fisheries cooperatives. After reviewing various tests, we eventually select random effects model. The results, based on panel data between 2013 and 2018 year and 64 fisheries cooperatives, indicate that capital and area dummy variables have positive effects and employment has negative effect on the net income of regional and industrial fisheries cooperatives as predicted. However, debt are opposite with our predictions. Specifically, it turns out that debt has positive effect on the net income of regional and industrial fisheries cooperatives although it has been increased. Additionally, this paper shows that the member of confreres does not show any significant effect on the net income of regional and industrial fisheries cooperatives in South Korea. This study is significant in that it analyzes the major factors influencing changes in the net income that have not been conducted recently for the fisheries cooperatives by region and industry.

The Impact of Housing Price on the Performance of Listed Steel Companies Evidence in China

  • Huang, Shuai;Shin, Seung-Woo;Wang, Run-Dong
    • 아태비즈니스연구
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    • 제11권2호
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    • pp.27-43
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    • 2020
  • Purpose - This study explores the impact of the real estate industry on related industries for the perspective of Chinese steel companies. Design/methodology/approach - The impact of housing prices on the 41 listed steel companies' performance was analyzed by using the panel data model. We used two kinds of housing price indexes that are set in the panel data models to estimate the range of the real estate market, driving the performance growth of steel listed companies. Moreover, the net profit of steel companies is used as the dependent variable. To test the stability of the model, ROA used as a dependent variable for the robustness test. Also, to avoid the time trend of housing prices, this paper selects the growth rate of housing prices as the primary research variable. After Fisher-type testings, there is no unit root problem in both independent and dependent variables. Findings - The results indicated that the rise in the housing price has a positive influence on the steel company performance. When the housing price increases by 1%, the net profit of steel enterprises will increase by 5 to 20 million yuan. Research implications or Originality - In this paper, empirical data at the micro-level and panel model are used to quantify China's real estate industry's driving effect on the iron and steel industry, providing evidence from the microdata level. It helps us to understand further the status and role of China's real estate industry in the economic structure.

AEO 인증이 기업성과에 미치는 영향 : 패널데이터 분석 (The Effects of AEO Certification on Firm's Performance : Panel Data Analysis)

  • 하의현
    • 무역학회지
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    • 제41권4호
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    • pp.91-110
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    • 2016
  • 본 연구는 AEO 인증이 기업성과에 긍정적인 영향을 미칠 수 있을 것이며, 이로 인해 우리나라 기업이 국제경쟁력을 갖추기 위한 방안을 제시하기 위해 AEO 인증이 기업성과에 미치는 영향을 패널데이터를 이용하여 분석하였다. 변수간 내생성의 문제를 해결하는데 효율적인 Hausman-Taylor 추정법을 사용하여 AEO 인증이 기업성과에 미치는 영향을 분석한 결과, AEO 인증은 기업성과를 대표하는 주요 변수인 기업의 국내 매출액과 해외 매출액에 긍정적인 영향을 미치며, 특히 AEO 인증의 직접적인 혜택과 업무 프로세스 개선은 수출입 물류흐름을 향상시켜 매출액 증대에 긍정적인 영향을 미치는 것으로 나타났다. 결론적으로 본 연구는 AEO 인증이 기업성과에 미치는 영향을 보다 효율적인 패널데이터를 이용하여 분석함으로써 우리나라의 AEO 인증 정책에 대한 해법을 제시하였다.

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Analysing Korean Residential House Tenure Choice by Mixed Logit Panel Model

  • Jeong, Ki-Ho;Lee, Sang-Ho
    • Journal of the Korean Data and Information Science Society
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    • 제19권2호
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    • pp.559-568
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    • 2008
  • This paper analyzes Korean residential tenure choice for house which is the most important in Korean households' assets. Data used in the analysis is the data of Korean Labor and Income Panel Study for the period from 1998 to 2006 and with 2341 households. In this paper, a household chooses a housing tenure mode, either by renting or by owing house. We use a mixed-logit panel model as an estimation model to take into consideration household's heteroscedasticity of preference in tenure choice. It turns out that the heteroscedasticity is significant in households' tenure choice behavior, implying that Korean housing policy emphasizing supply side should consider the demand side.

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Oil consumption and economic growth: A panel data analysis

  • Lim, Kyoung-Min;Lim, Seul-Ye;Yoo, Seung-Hoon
    • 에너지공학
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    • 제23권3호
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    • pp.66-71
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    • 2014
  • Oil is obviously vital for economic growth and industry development. This paper attempts to explore whether or not there is a inverted-U relationship between oil consumption and economic growth. To this end, we employ a panel data analysis with fixed effect or random effect models using the set of data from 61 countries for the year 1990-2008. In conclusion, a statistically significant inverted-U relationship between per capita consumption of oil and per capita GDP is found. However, the level of per capita GDP at the peak point of per capita oil consumption is estimated to be 65,072 in 2005 international constant dollars, which is much larger than economic scales of sampled countries. Thus, as per capita GDP grows, per capita oil consumption is predicted to increase until eventually reaching the peak.

패널회귀모형에서 예측량의 효율에 관한 비교 (A Comparison of Predictors in a Panel Data Regression Model)

  • 정병철;조민화;송석헌
    • 응용통계연구
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    • 제14권1호
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    • pp.121-135
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    • 2001
  • 본 논문에서는 이원오차성분을 가지는 패널회귀모형에서 미래시점에 대한 다양한 예측량들을 유도하고, 예측량들의 효율성을 모의실험을 통하여 비교하였다. 모의실험 결과, FGLS추정량을 이용한 예측량들은 참 GLS를 이용한 예측량과 효율성에서 서로 큰차이를 보이지 않았다. 또한 계산상 매우 복잡한 ML과 REML을 이용한 예측량과도 거의 비슷한 효율성을 보여주었다.

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The Impact of Broadband Access on Unemployment Rate in Indonesia 2016-2019

  • SALSABILA, Roghibah;OKTORA, Siskarossa Ika
    • Asian Journal of Business Environment
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    • 제12권3호
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    • pp.23-30
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    • 2022
  • Purpose: This study aims to determine the effect of broadband access, education level, population numbers, and investment on the unemployment rate in Indonesia. Research design, data, and methodology: This study uses panel data from 34 provinces from 2016 to 2019. The analysis uses the fixed-effect model for panel data with the Feasible Generalized Least Square (FGLS) estimation method. Results: Broadband access has a negative and significant effect on the unemployment rate. Mean years of school, population, and foreign direct investment also have a negative and significant impact on the unemployment rate. In contrast, the domestic direct investment variable has a positive and significant effect. Conclusion: The availability of broadband access in an area allows easier and faster access to information. The ease of access to such information can affect producing goods and services, encouraging innovation and employment growth, and reducing the unemployment rate. This research recommends that the government intensify the Indonesia Broadband Plan policy to accelerate the development and equitable distribution of broadband access in all regions of Indonesia.

A spatial heterogeneity mixed model with skew-elliptical distributions

  • Farzammehr, Mohadeseh Alsadat;McLachlan, Geoffrey J.
    • Communications for Statistical Applications and Methods
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    • 제29권3호
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    • pp.373-391
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    • 2022
  • The distribution of observations in most econometric studies with spatial heterogeneity is skewed. Usually, a single transformation of the data is used to approximate normality and to model the transformed data with a normal assumption. This assumption is however not always appropriate due to the fact that panel data often exhibit non-normal characteristics. In this work, the normality assumption is relaxed in spatial mixed models, allowing for spatial heterogeneity. An inference procedure based on Bayesian mixed modeling is carried out with a multivariate skew-elliptical distribution, which includes the skew-t, skew-normal, student-t, and normal distributions as special cases. The methodology is illustrated through a simulation study and according to the empirical literature, we fit our models to non-life insurance consumption observed between 1998 and 2002 across a spatial panel of 103 Italian provinces in order to determine its determinants. Analyzing the posterior distribution of some parameters and comparing various model comparison criteria indicate the proposed model to be superior to conventional ones.

자동차 판넬 금형의 NC 가공을 위한 공구 경로 생성 (Tool-Path Generation in NC Machining of Automobile Panel Die)

  • 이철수
    • 한국자동차공학회논문집
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    • 제2권5호
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    • pp.74-84
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    • 1994
  • This paper discusses a method to generate the tool path for NC machining of automobile panel dies. The source data representing a panel die may be generated from digitizing machines, other CAD/CAM systems via IGES files, of compound surface models. From the source data, three types of interferencefree tool paths are generated automatically ; a parallel (Cartesian), an isometric, and a pencil cutting tool path. For the interference-free tool path, a polyhedral model composed of several triangles, and an 'offset triangle' approach are exploited. Finally, some practical examples are illustrated.

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외국인 직접투자의 기술확산 효과에 대한 실증분석 : 비안정적 패널자료를 이용하여 (An Empirical Research on Relation between FDI and Technology Diffusion: Using Nonstationary Panel Data)

  • 김홍기;김종운
    • 기술혁신학회지
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    • 제8권3호
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    • pp.1225-1249
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    • 2005
  • This study aims at investigating whether foreign direct investment plays a role as a channel of international technology diffusion. We used the annual panel data from 1980 to 2002. The nonstationary panel techniques, in particular group mean panel FMOLS(fully modified OLS) was exploited as an empirical methodology in order to tackle the heterogeneity between members and low frequency. The empirical results show that inflow direct investments lead to an increase in total factor productivity and economic growth. Also outflow direct investments contribute to an higher total factor productivity and economic growth. These results confirms that both inflow and outflow direct investments are important channels for international technology diffusion or spillover.

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