• Title/Summary/Keyword: 패널자료모형

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Onion yield estimation using spatial panel regression model (공간 패널 회귀모형을 이용한 양파 생산량 추정)

  • Choi, Sungchun;Baek, Jangsun
    • The Korean Journal of Applied Statistics
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    • v.29 no.5
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    • pp.873-885
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    • 2016
  • Onions are grown in a few specific regions of Korea that depend on the climate and the regional characteristic of the production area. Therefore, when onion yields are to be estimated, it is reasonable to use a statistical model in which both the climate and the region are considered simultaneously. In this paper, using a spatial panel regression model, we predicted onion yields with the different weather conditions of the regions. We used the spatial auto regressive (SAR) model that reflects the spatial lag, and panel data of several climate variables for 13 main onion production areas from 2006 to 2015. The spatial weight matrix was considered for the model by the threshold value method and the nearest neighbor method, respectively. Autocorrelation was detected to be significant for the best fitted model using the nearest neighbor method. The random effects model was chosen by the Hausman test, and the significant climate variables of the model were the cumulative duration time of sunshine (January), the average relative humidity (April), the average minimum temperature (June), and the cumulative precipitation (November).

Panel data analysis with regression trees (회귀나무 모형을 이용한 패널데이터 분석)

  • Chang, Youngjae
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1253-1262
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    • 2014
  • Regression tree is a tree-structured solution in which a simple regression model is fitted to the data in each node made by recursive partitioning of predictor space. There have been many efforts to apply tree algorithms to various regression problems like logistic regression and quantile regression. Recently, algorithms have been expanded to the panel data analysis such as RE-EM algorithm by Sela and Simonoff (2012), and extension of GUIDE by Loh and Zheng (2013). The algorithms are briefly introduced and prediction accuracy of three methods are compared in this paper. In general, RE-EM shows good prediction accuracy with least MSE's in the simulation study. A RE-EM tree fitted to business survey index (BSI) panel data shows that sales BSI is the main factor which affects business entrepreneurs' economic sentiment. The economic sentiment BSI of non-manufacturing industries is higher than that of manufacturing ones among the relatively high sales group.

The Effect of Pollution Abatement Cost on Net Export of Korea's Manufacturing Industries Based on Heckscher-Ohlin Model (환경오염방지비용이 우리나라 제조업의 순수출에 미친 효과 분석 : 헥셔-오린 모형 중심으로)

  • Kim, Hong-Kyun;Youn, Se-Jin
    • Environmental and Resource Economics Review
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    • v.20 no.4
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    • pp.735-760
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    • 2011
  • This study examines the effect of pollution abatement cost on net export of Korea's manufacturing industries based on Heckscher-Ohlin model. We used the panel data on manufacturing industries for 1993~2007. The main findings are as follows. First, it was found that the pollution abatement cost had a significant negative effect on net export of Korea's manufacturing industries. In particular, the effect was stood out after 1997 IMF crisis. Second,skill labor was found to be very important in determining trade pattern among variables related to factor intensities.

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Dynamics of Consumer Preference in Binary Probit Model (이산프로빗모형에서 소비자선호의 동태성)

  • Joo, Young-Jin
    • The Journal of the Korea Contents Association
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    • v.10 no.5
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    • pp.210-219
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    • 2010
  • Consumers differ in both horizontally and vertically. Market segmentation aims to divide horizontally different (or heterogeneous) consumers into more similar (or homogeneous) small segments. A specific consumer, however, may differ in vertically. He (or she) may belong to a different market segment from another one where he (or she) belonged to before. In consumer panel data, the vertical difference can be observed by his (or her) choice among brand alternatives are changing over time. The consumer's vertical difference has been defined as 'dynamics'. In this research, we have developed a binary probit model with random-walk coefficients to capture the consumer's dynamics. With an application to a consumer panel data, we have examined how have the random-walk coefficients changed over time.

Developing Forest Recreation Forecasting Model Using Panel Date (패널자료를 이용한 산림휴양의 장기수급예측 모형의 개발)

  • Joo, Rin-Won;Han, Sang-Yoel;Lee, Seong-Youn;Park, Chan-Woo;Kim, Jae-Jun
    • Journal of Korean Society of Forest Science
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    • v.95 no.4
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    • pp.381-387
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    • 2006
  • This study tried to develop a model which can predict a long-term of forest recreation quantity corresponded with econometrics. Simultaneously this study was conducted with the aim of development of practical matrix which is able to apply forest recreation management with policy-control variables about forest supplement with some problem of former study using only a cross-section analysis. As the results of analyses, forest recreation quantity is affected (-) relation by distance, (+) relation by population of the origin area, the size of forest, and a destination's annual social expenditure. In addition, the distance variable is elastic, however, the other variables are inelastic. This results might correspond to a general gravity model theory about forest recreation quantity.

An Analysis of the Determinants of Employment Productivity in Korean Transportation Industry Using Korea Labor and Income Panel Study (한국노동패널자료를 활용한 국내 운송업 고용생산성 결정요인 분석)

  • So, Ae-rim;Shin, Seung-sik
    • Journal of Korea Port Economic Association
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    • v.35 no.1
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    • pp.57-76
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    • 2019
  • This study deals with the determinants of employment productivity of transportation labor, who are the main agents of the transportation industry that has made significant contributions to our country's industrial development. The study selected the determinants of employment productivity using the Korea Labor and Income Panel Study data, and analyzed the effects of various factors using panel logistic regression, panel OLS model, and panel robust regression. The results were as follows. First, a more positive effect was shown when employees held a regular job, had a "high level of education", "joining the labor union" and "experiencing vocational training". Second, in the case of job security, having a "high level of education" and "joining the labor union" showed a more positive effect; further, job security was higher for employees who worked in a "big company" or were "married". Third, in the case of higher income productivity, higher values of "age", "academic ability" and "company size" had a more positive effect, whereas larger values of "education" and "health condition except job training" had a negative one. Fourth, in the case of job satisfaction, "female", "joining the labor union" and having a higher "income" or "job security" led to higher satisfaction and a better "health condition compared to an average person". Further, a higher "overall life satisfaction" and "economic level" led to lower job satisfaction. The analysis of the determinants of employment productivity of transportation business and seeking for improvement plan is expected to improve the employment productivity in the transportation business.

The Impact of Parenting Styles on Emotional Problems of Adolescents

  • Kim, Kyung Ho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.145-151
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    • 2022
  • The purpose of the present study was to test the relationship between perceived parenting styles and emotional problems among adolescents, and to obtain basic informations in terms of preventing and reducing the emotional problems. Based on literature review, a structural equation model to explain the causal relationships between democratic parenting and emotional problems, and between controlling parenting and emotional problems respectively. This study analyzed the 6th and 7th data from Korean Children and Youth Panel Survey. The major results of the study are as follows. First, democratic parenting had a negative relationship with emotional problems. Second, controlling parenting had a positive relationship with emotional problems. Third, according to the gender and level of subjective health, there were significant differences in perceived parenting styles and emotional problems. Finally, in terms of improving parenting skills and reducing emotional problems, implications of the research findings and suggestions were discussed.

Panel attrition factors in Korean Labor and Income Panel Study (한국노동패널 탈락 분석)

  • Lee, Sang-Hyeop;Park, Chan-Yong;Hye-Mi, Sung-Suk Chung;Choi, Hye-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.1
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    • pp.1-8
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    • 2011
  • In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

Financial Profile of Capital Structures for the Firms Listed in the KOSPI Market in South Korea (국제 금융위기 이후 KOSPI 상장회사들의 자본구조 결정요인 분석)

  • Kim, Hanjoon
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.829-844
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    • 2013
  • This study performed comprehensive tests on the four hypotheses on the capital structures for the firms listed in the KOSPI during the period from 2006 to 2011. It may be of concern to find any financial profiles on firms' leverage across the book- and market-value bases since there was relatively little attention drawn to any financial changing profile of the leverage surrounding the period of the pre-and the post-global financial crises. The findings of this study may also be compared with those of the previous related literature, by which it may be expected to enhance the robustness and consistency of the results across the different classifications on capital markets. It was found that three explanatory variables such as PFT, SIZE, and RISK, were found to be the statistically significant attributes on leverage during the tested period. Moreover, the outcome by the Fisher Exact test showed that a firm belonging to each corresponding industry may possess its reversion tendency towards the industry mean and median leverage ratios.

An Analysis of Balassa-Samuelson Effect by Panel Cointegration Test (패널공적분검정을 통한 발라사-사무엘슨 효과 분석)

  • Choi, Yong-Jae
    • International Area Studies Review
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    • v.22 no.3
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    • pp.67-84
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    • 2018
  • The purpose of this paper is to investigate the Balassa-Samuelson effect that real exchange rate could deviate from its long-run equilibrium. To analyze this effect, I estimated the long-run relationship between real exchange and productivity using the dynamic panel ordinary least square(DOLS) and panel error correction model(ECM) after conducting the unit root and cointegration test. The results show that all variables except for the real exchange rate have the unit root. Then I conducted the cointegration test to find out whether there exist the stable long-run relationships. The results show that the variables are cointegrated and significant statistically. The DOLS and ECM methods are used to estimate the coefficient of the cointegrated variables. The major finding are that the estimates are statistically significant and that they show the same sign as the economic theory predicts.