• Journal of Korean Society of Forest Science
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• v.98 no.3
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• pp.284-289
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• 2009

This study estimated the fiberboard demand using VAR and econometric model, and compared the prediction accuracy of the two models. And the variance decomposition and impulse response were analyzed using VAR model, and predicted the fiberboard demand. The VAR model was specified with lagged dependent variable, lagged own price, lagged construction product, dummy. The econometric model was specified with own price, substitute price, construction product, dummy. The dummy variable reflected the abrupt decrease in fiberboard demand in the late 1990's. The results showed that the fiberboard demand prediction can be performed more accurately by VAR model than by econometric model. In the VAR model of fiberboard demand, after twelve months, the construction product change accounts for about fifty percent of variation in the demand, and the own price change accounts for about thirty percent of variation in the demand. On the other hand, the impact of a shock to the construction product is significant for about twelve months on the demand of fiberboard, and the impact of a shock to the own price is significant for about six months on the demand of fiberboard.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.43-51
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• 2012

The OLS(ordinary least squares) method is widely used in hedonic housing models. One of the assumptions of the OLS is an independent and uniform distribution of the disturbance term. This assumption can be violated when the spatial autocorrelation exists, which in turn leads to undesirable estimate results. An alterative to this, spatial econometric models have been introduced in housing price studies. This paper describes the comparisons between OLS and spatial econometric models using housing transaction prices of Busan, Korea. Owing to the approaches reflecting spatial autocorrelation, the spatial econometric models showed some superiority to the traditional OLS in terms of log likelihood and sigma square(${\sigma}^2$). Among the spatial models, the SAR(Spatial Autoregressive Models) seemed more appropriate than the SAC(General Spatial Models) and the SEM(Spatial Errors Models) for Busan housing markets. We can make sure the spatial effects on housing prices, and the reconstruction plans have strong impacts on the transaction prices. Selecting a suitable spatial model will play an important role in the housing policy of the government.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.1
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• pp.27-38
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• 2019

Purpose - Recently, the trade war between China and US has been escalating, which has also attracted worldwide attention. Based on this background, this paper sets China and US as an example to explore the determinants of bilateral trade between China and US. Research design, date, and methodology - A quarterly data from the 2000-Q1 to the 2017-Q4 will be used to perform an empirical analysis under some econometric approaches such as the fully modified least squares and the vector error correction estimates. Result - The results illustrate that the two economic entities of China and US have the greatest positive effect on bilateral trade between China and US. The real exchange rate has a positive effect on bilateral trade between China and US. The nominal exchange rate has a negative effect on bilateral trade between China and US in the short run. US's average price has a positive effect on bilateral trade between China and US in the short run. China's average price has a negative effect on bilateral trade between China and US in the short run. Meanwhile, the bilateral trade between China and US also suffers from the economic crisis happened in 2008. Even through the bilateral trade between China and US in the short run is deviate from the long-run equilibrium, there exist an error correction mechanism back to the long-run equilibrium. Conclusion - This paper provides some empirical evidences for both governments. Based on the results of this paper, both governments should take corresponding measures to promote the development of bilateral trade between China and US.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.139-147
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• 2020

This paper aims to explore the relationship between the quality of the audit and the level of stock return co-movement in the context of the Vietnamese emerging market. The empirical study is designed based on the quatitative method and deductive approach. The panel dataset includes 256 listed firms from different industries,with 1115 firm-year observations on Ho Chi Minh City Stock Exchange for the period from 2014 to 2018. In the research, we built the econometric regression model, using stock return synchronicity and audit quality as the dependent and independent variable, respectively. Some control variables are also added to the econometric regression models as they are well-documented in prior research to have an effect on stock price synchronicity. To improve the accuracy of the regression coefficients, beside the Ordinary Least Squares, we employ the Random Effects Model and the Fixed Effects Model for better statistical analysis of panel data set. The results show that the quality of the audit is positively correlated to stock price synchronicity. This finding suggests that stock returns of companies with higher quality of the audit are more synchronous with the market. Results for other control variables also support our reasoning for the main findings.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.731-740
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• 2021

This research aims to investigate the determinants of real effective exchange rate in emerging ASEAN countries, including Indonesia, Malaysia, Philippines, Thailand, and Vietnam. The research was conducted by using quarterly time series data set from 1980Q1 to 2020Q3. Cointegration and the error correction model (ECM) methods were applied to test the long run and short run relationship of the real effective exchange rate and its determinants. The results indicate that the ratio of foreign direct investment to GDP and the government spending have significantly positive impact on real effective exchange rate in the Emerging ASEAN countries. The trade opening had influencing real effective exchange rate in most the Emerging ASEAN countries, except Vietnam. In addition, the international reserve (INR) had significant long-run impacts variables on real effective exchange rate in Malaysia, Thailand and Vietnam. In the short run equilibrium, the error collection term suggest that Indonesia and Malaysia are the fastest speed adjustment to equilibrium. In addition, the term of trade influence the real effective exchange rate in Indonesia, Malaysia, and the Philippines but it is not in Thailand and Vietnam. However, FDI is a major factor of the real effective exchange rate in Vietnam, but not for other countries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6646-6651
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• 2014

This study was carried out to find the social welfare effects of agricultural outlook information service for fruit in Korea. The goals of an agricultural outlook information service are to improve the efficiency of the agricultural product market, and stabilize the farmer's income and consumer price. This paper introduces the results of econometric analysis for the effects of social welfare benefits. According to the results of econometric analysis for the citrus industry, the effects of the social welfare benefits were estimated to be 15,228 million KRW on apples (ratio of the total revenue, 1.5%), 3,154 million KRW on pears (ratio of the total revenue, 1.8%), 1,936 million KRW on peaches (ratio of the total revenue, 0.9%), 5,211 million KRW on grapes (ratio of the total revenue, 1.0%), 44,976 million KRW on citrus (ratio of the total revenue, 5.4%), and 2,590 million KRW on sweet persimmon (ratio of the total revenue, 0.8%) in 2012.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.141-148
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• 2019

Based on the theory of information ecology, this paper conducts a quantitative analysis on the research literature of e-commerce ecosystem in China, and clarifies the research hotspots and development trends, so as to provide reference for subsequent studies. With the key words related literatures collected by CNKI as the data source, and the software CiteSpaceIV is used to draw a visual knowledge map, the distribution of e-commerce ecosystem research papers in China is statistically analyzed by econometric analysis method, and literature research is summarized and evaluated. The research results show that previous studies mainly focus on the concept of e-commerce ecosystem, and there are relatively few research results on the construction and evolution mechanism of e-commerce ecosystem, so the depth and breadth of research should be expanded. Applying the concept of e-commerce ecosystem to solve the problems in cross-border e-commerce will be the future research trend.

• Journal of the military operations research society of Korea
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• v.8 no.2
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• pp.3-16
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• 1982

Under the assumption that the size of military expenditures is largely determined by economic potential and military requirements as well, this paper conducts an econometric analysis for the purpose of predicting Korea's military expenditures using a technique of pooling time-series data (1967-1976) and cross-section data(95 countries) on the percentage of military expenditures to GNP (Cross National Product) and economic growth rate.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.814-821
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• 2005

본 연구에서는 인터넷전화의 잠재 가입자를 대상으로 이들의 전화 사용 행태 및 사회-인구 통계적 특성 검토하여 이를 인터넷전화의 가입 확률로 연결하는 모형을 개발한다. 이때 가입 예측모형은 설문결과에 이산 프로빗 모형을 적용함으로써 구축하였다. 모형의 결과에 따르면 인터넷전화서비스 가입에 통계적으로 유의한 영향을 미치는 변수는 월 전화요금, 월 전화사용회수, 채택하고 있는 전화요금제, 현재 가입 중인 전화회사, 가구 의사결정자의 나이 등인 것으로 분석되었다. 또한 위의 각 요인의 부호는 관련 분야의 전문가들의 일반적인 견해 및 상식과 일치하는 것으로 나타났다.

• Journal of Korean Society of Transportation
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• v.34 no.1
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• pp.95-106
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• 2016

Air transportation demand is consistently increasing in Korea due to economic growth and low cost carriers. For this reason, airport expansion plans are being discussed in Korea. Therefore, it is essential to forecast reliable air transportation demand with adequate methods. However, most of the air transportation demand models in Korea has been developed by simple regression analysis with several dummy variables. Simple regression analysis without considering stationarity of time-series data can bring spurious outputs when a direct causal relationship between explanatory variables and dependent variable does not exist. In this paper, econometric model were developed for air transportation demand based on stationarity in time-series data. Unit root test and co-integration test are used for testing hypothesis of stationarity.