• Korea Trade Review
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• v.43 no.2
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• pp.69-86
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• 2018

The paper studies the degree of international price dispersion for 300 individual goods and services between cities of three country groups over 1999 and 2013, focusing on the role of oil prices in generating deviations from the law of one price. We find that while oil prices did not contribute to the trend in cross-country price dispersion, it does account for within-country price dispersion. Once the oil price effect is subtracted out, the remaining price dispersion between U.S. cities no longer exhibits a noticeable upward trend. If oil prices increase transportation costs, they should increase the deviations from the law of one price, raising price dispersion. Our findings indicate that this effect is more pronounced within a country, while factors such as elasticity of substitution and other trade barriers are likely to matter more in price dispersion across borders. We view our results as complementary to those that emphasize the role of time-varying factors in accounting for price dispersion.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.269-282
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• 1997

The purpose of this research is to analyze perceptions of consumers and willingness to play for high-priced food. The price dispersions of four food categories - soybean sprouts, tofu, milk, and egg - were analyzed through the market analysis, and the survey with the structured questionnaire was utilized to get information on the reason why consumers buy and don't buy the high-priced food. It tested whether a consumer would change the choice if the new product information on safety issues is offered and if the price of high-priced food is lowed. Results showed that generally consumers don't have the confidence on the level of safety and comparative advantages of quality of high-priced food, but they just purchase the high-priced food as long as they can afford it.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1239-1247
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• 2015

In this study, 64 administrative regions with high frequencies of apartment trade in Seoul, Korea are classified by the apartment sale price. To consider distributions of apartment price for each region as well as the mean of the price, the symbolic histogram-valued data approach is employed. Symbolic data include all types of data which have internal variation in themselves such as intervals, lists, histograms, distributions, and models, etc. As a result of the cluster analysis using symbolic histogram data, it is found that Gangnam, Seocho, and Songpa districts and regions near by those districts have relatively higher prices and larger dispersions. This result makes sense because those regions have good accessibility to downtown and educational environment.