• The Korean Journal of Financial Management
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• v.8 no.2
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• pp.131-164
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• 1991

주식시장에 체계적으로 영향을 미칠 수 있는 거시경제변수(巨視經濟變數)들과 국민경제의 중요한 한 부분인 주식시장(株式市場)의 관계를 구체적으로 규명하는 것은 투자자에게 유용한 정보를 제공하는 동시에 주식시장이 건전한 방향으로 발전할 수 있도록 유도하는 의미 있는 일이다. 본 연구의 목적은 주식수익률의 횡단면적 차이를 설명할 수 있는 경제적으로 유의적인, 즉 '가격화(價格化)'된 거시경제변수(巨視經濟變數)를 발견하는데 있다. 이를 위하여 주식평가모형과 기존의 연구결과를 토대로 주식수익률에 체계적으로 영향을 미칠 수 있는 31개의 거시경제변수를 선정한 후, 실증적 연구방법을 사용하여 우리나라 주식시장에서 '가격화(價格化)'된 거시경제변수가 무엇인지를 확인하였다. 먼저 주식수익률(株式收益率)에 체계적으로 영향을 미칠 수 있는 31개의 거시경제변수(巨視經濟變數)들을 요인분석하여 6개의 공통적 특성으로 압축 요약한 후, 각 차원(요인)을 가장 잘 대표하는 6개의 거시경제변수(대용변수)(巨視經濟變數(代用變數))를 추출하였다. 그리고 요인분석에 의해서 추출된 6개의 거시 경제변수와 주식수익률로 Fama & MacBeth(1973) 방법과 유사한 2단계회귀분석을 실시하여 주식수익률에 유의적인 영향을 미치는 '가격화'된 거시경제변수를 발견하였다. 그 결과, 6개의 거시경제변수 중 산업생산지수증가률(産業生産指數增加率), 회사채류통수익율(會社債流通收益率) 그리고 종합주가지수수익률(綜合株價指數收釜率)등 3개의 거시경제변수가 주식수익률의 횡단면적 차이를 설명할 수 있는 유의적인 또는 '가격화'된 경제변수임을 확인할 수 있었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.905-914
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• 2017

We examine 554 state basic districts and 1832 householders in Busan metropolitan city to see whether the physical and walkable characteristics of housing influence apartment housing prices. We use two-level models modeling for a more accurate analysis. Walkable characteristics in level 2 state basic districts potentially explain 77% of the variation in housing values, with the highest impact on crime safety characteristics. Overall, our spatial multi-level analysis based on new state basic districts in Korea explained price variation better than previous studies, which considered each householder. The results provide policy opportunities for planners and citizen groups to pursue strategies that encourage the development of walkable and sustainable neighborhoods.

• Journal of the Korean Regional Science Association
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• v.34 no.1
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• pp.3-17
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• 2018

This paper empirically investigates time-varying regression parameter of hedonic price model for Seoul office rental market in distinct periods of a market cycle. Office rental index is constructed and the index indicates that the global financial crisis differentiates the analysis period into decline stage and recovery stage. Pre-crisis period is classified into decline stage and post-crisis is classified into recovery stage. Structural break-point test suggests structural change of hedonic model of rent determinants occurred in 2008. Evidence indicates that individual regression parameters of hedonic price model for decline stage are significantly different from those for recovery stage. Changes in the regression parameters of land price, distance to metro, building size, building age, and conversion rate are consistent. In recovery stage, the effect of locational advantage on office rent decreases whereas the effect of building characteristics on the rent increases.

• Knowledge Management Research
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• v.21 no.4
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• pp.89-108
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• 2020

This study investigates key factors influencing customers' repurchase intention in the context of Airbnb. Positive and negative emotions formed after customer's first-hand experience are identified as vital antecedents in determining consumer's repurchase intention. This study posits authentic experience, amenities, and price fairness as the key characteristics of Airbnb. It clarifies the role of subjective norms and trend-seeking tendency in repurchase decisions. The proposed research model was analyzed for 306 customers with experience in using Airbnb via structural equation model. The analysis results showed that both positive and negative emotions have a significant effect on customer's repurchase intention. The results clarified the role of Airbnb's characteristic components on repurchase decisions. Finally, subjective norms and trend-seeking tendency had no significant impact on customer's repurchase intention. The results of this study are expected to help establish effective strategies for customer experience and marketing to achieve sustainable growth of Airbnb.

• Environmental and Resource Economics Review
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• v.25 no.4
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• pp.495-516
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• 2016

This study empirically examines how asymmetric price adjustment of the retail gas price happens differently for various oil products, such as high-grade gasoline, regular gasoline, and diesel, by employing asymmetric error correction model within weekly data set from 2010~2015. Our estimation results show that the price adjustment, across the all oil types, predicated on shifting crude oil and wholesale oil prices is asymmetric. In addition, the duration of asymmetry was shorter in high-grade gasoline case than in other oil types. This took place by rapid price adjustment of high-grade gasoline price when faced with both cost increases and decreases, in comparison with regular gasoline and diesel cases. There results were attributed by characteristics of the consumer group and a high retail-wholesale margin of high-grade gasoline.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.4B
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• pp.234-245
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• 2007

There are lots of controversies over the introduction of MVNO(Mobile Virtual Network Operator) policy to Korean mobile telecommunications market. MVNO is a kind of service-based competition in mobile market. This paper attempts to analyze the ripple effect of MVNO regulation and also desirable ways of implementing the policy. Based on Laffont, Rey and Tirole(1998), Armstrong (1998) model, theoretical MVNO model is defined and derived implications of price, quantity in the market. According to the model, the fact that MNOs have one-way access profit leads the static efficiency by lowering its market price. In regarding the most desirable way to enhance social welfare is revealed as 'two MNOs conduct MVNO' other than 'One MNO does' or 'Structurally divided network'.

• Korea Real Estate Review
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• v.28 no.1
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• pp.79-90
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• 2018

The purpose of this study was to estimate the pricing factors of residential lands in new cities by estimating the pricing model of residential lands. For this purpose, hedonic equations for each quantile of the conditional distribution of land prices were estimated using quantile regression methods and the sale price date of Jangyu New Town in Gimhae. In this study, a quantile regression method that models the relation between a set of explanatory variables and each quantile of land price was adopted. As a result, the differences in the effects of the characteristics by price quantile were confirmed. The number of years that elapsed after the completion of land construction is the quadratic effect in the model because its impact may give rise to a non-linear price pattern. Age appears to decrease the price until certain years after the construction, and increases the price afterward. In the estimation of the quantile regression, land age appears to have a statistically significant impact on land price at the traditional level, and the turning point appears to be shorter for the low quantiles than for the higher quantiles. The positive effects of the use of land for commercial and residential purposes were found to be the biggest. Land demand is preferred if there are more than two roads on the ground. In this case, the amount of sunshine will improve. It appears that the shape of a square wave is preferred to a free-looking land. This is because the square land is favorable for development. The variables of the land used for commercial and residential purposes have a greater impact on low-priced residential lands. This is because such lands tend to be mostly used for rental housing and have different characteristics from residential houses. Residential land prices have different characteristics depending on the price level, and it is necessary to consider this in the evaluation of the collateral value and the drafting of real estate policy.

• Journal of the Korean Regional Science Association
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• v.35 no.1
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• pp.59-72
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• 2019

This study focused on low fertility and population decline which threaten national competitiveness. Therefore, a comprehensive analysis was attempted on the impact of housing characteristics and residential area characteristics of newlyweds on their birth plan. To this end, the hierarchical linear model(HLM) was implemented using '2016 Korea Newlyweds' Housing Survey' data. The main findings of this study are as follows. First, the birth plan of newlyweds is affected not only by housing characteristics, but also residential area characteristics such as the average housing price, average private education expenses and the number of local child centers. Second, the use of housing loans and the housing tenure have an interaction effect with the average housing price and the number of local child centers among the residential area characteristics. In other words, the use of housing loans has a negative effect on the birth plan if the housing price is high in the area, and being renter household has a positive effect on the birth plan if the number of local child centers is high in the area. These findings suggest that governmental effort to raise the birthrate of newlyweds should take into account their housing characteristics as wells as residential area characteristics.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.835-847
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• 2016

To analyze lattice or areal data, a conditionally autoregressive (CAR) model has been widely used in the eld of spatial analysis. The spatial neighborhoods within CAR model are generally formed using only inter-distance or boundaries between regions. Kyung and Ghosh (2010) proposed a new class of models to accommodate spatial variations that may depend on directions. The proposed model, a directional conditionally autoregressive (DCAR) model, generalized the usual CAR model by accounting for spatial anisotropy. Properties of maximum likelihood estimators of a Gaussian DCAR are discussed. The method is illustrated using a data set of median property prices across Greater Glasgow, Scotland, in 2008.

• Journal of the Korean Regional Science Association
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• v.32 no.1
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• pp.67-82
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• 2016

This study aims to test the spatial mismatch hypothesis by exploring the relationship between income and commuting time in Seoul, Korea. For this purpose, we analyze the commuting times of individuals who commute to Seoul, using the data for the metropolitan household survey. We employed a hierarchial linear model(HLM) to capture the effects of both individual attributes and regional attributes, and their interactions. The results show that the commuting time decreases with household income controlling for the regional attributes, and the effect of income increases with the housing price of the location of a commuter's firm. This implies that the spatial mismatch holds for Seoul as follows: Lower personal income and housing affordablility extend individuals' commuting times, and the destinations' characteristics such as housing type and land use also have impacts on commuting time. These results have some policy implications for achieving social equity in terms of spatial structure of the city.