• The Journal of Fisheries Business Administration
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• v.44 no.1
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• pp.59-70
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• 2013

The purpose of this paper is to integrate various models of price formation and let the data choose the most proper model. After the data choose the proper model, one can analyze the price formation process and demand structures for fishery resources under the restriction of Korean fisheries regulations. This study suggests the integrated model including quasi-linear price formation model, Translog price formation model, AIDS price formation model and Lewbel price formation model as level variables. It also suggests another integrated model including AIDS price formation model, Rotterdam price formation model, Latinen-Theil price formation model and Neves price formation model as difference variables. The empirical results show that the AIDS price formation model is the most preferred in both level and difference variables of fishery resources. The estimated parameters show that all sample species have (-) sign of price flexibilities, thus following the law of demand. The scale flexibilities of all species are estimated as (-) sign, thus being adapted to the theory. The contribution and results are summarized as follows. First, the integrated model of fishery market demand has been developed and the data can choose the proper model without arbitrary choice of the researcher. Second, the fishery market demand structure could be analyzed in a way different from the ordinary demand analysis, which is based upon price flexibility and scale flexibility. Third, the integrated model for fishery resources can be used easily when catching restrictions are imposed by policies.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1115-1117
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• 2003

The information about transactions of real estate has tended to be not open. Therefore, it has been difficult for individuals to judge the proper price of each real estate. In the course of time several studies have been conducted on proposing criterions for judging the proper price of real estates. As to office buildings and apartments, it is proved techniques required for making criterions have been achieved to a certain extent. Therefore, this research aims to make methods that propose to consumers reliable criteria for judging the proper price of detached houses. The methods are based on hedonic price method and micro-level spatial elements peculiar to detached houses are considered.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.1
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• pp.133-143
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• 2021

In government procurement programs, cost estimation and analysis support funding decisions and are the basis for other major decisions, too. Such estimating and analyzing the cost of the weapon systems are crucial in execution of the defense budget. However, existing cost estimations and analyses have focused on domestic R&D projects, thus those are not valid in application to foreign weapon acquisitions. This study aims at foreign weapon systems that are acquired from Direct Commercial Sales. Because the data for price estimation of a foreign weapon is usually not available, we suggest a price estimation model based on performance factors of the weapon. In this study, the proper price of the weapon system is estimated using the parametric cost estimating model. Using the data of helicopter-launched anti-tank guided missiles worldwide, we analyze the effect of each performance factor on the weapon system price by regression analysis, and use step-wise and ridge regression analysis to remove multi-collinearity. This study hopefully contributes to more reasonable decision making on proper price of weapons.

• Journal of the military operations research society of Korea
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• v.27 no.1
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• pp.10-27
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• 2001

This paper deals with the application of PRICE model in estimating the proper acquisition cost for weapon budgeting phase. The PRICE(Parametric Review of Information for Costing and Evaluation) Hardware model is a computerized method for deriving cost estimates of electronic and mechanical hardware assemblies and systems. The model can be used in obtaining not only initial cost estimates in conceptual phase, but also detailed cost estimates in budgeting phase depending on available historical and empirical data. We analyzed first step cost estimate parameters and derived cost equations using PRICe output dta. Using weight and complexity, We can find cost variation. Sensitivity analysis shows that cost increases exponentially as complexity increases exponentially as complexity increases. We estimated KAAV\`s (Korea Amphibious Assault Vehicle) production cost using the PRICE model and compare with engineering cost estimates which is based on actual production data submitted by the production company. The result shows that tow estimates are close within $\pm2%$ differences.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.115-130
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• 2009

The price hike of university meal service hasn't increased as much as the rise in prices. Accordingly, it is necessary to make the school meal service better and make its image students think of improved, and it needs a proper increase. This study examines the permission evaluation of price hike of university meal service by analyzing students' behavior of using school meal service, restaurants they use, the price range of the meal service. It also investigates how the management of university meal service influences its price hike rate. The result of the study is as follows. Students are sensitive to price increase of school meal service because it hasn't been improved compared with its price. As a result of the evaluation of satisfaction with price in school meal service, its quality is bad compared with the restaurants outside school even though there isn't much difference between their prices. In addition, the cross tabulation analysis shows that there is significant difference between the restaurants students use and the price hike rate; there isn't significant difference between the price range of the meal service and the price hike rate; there is significant difference between the proper management of the meal service and the price hike rate. This study has a limit because it analyzes proper price and the quality of the restaurants comparing school cafeterias and the restaurants outside a university; however, it should be basic information for the improvement of university meal service in that the second most important reason why university students use a school cafeteria is price.

• Journal of the Korean Home Economics Association
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• v.45 no.6
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• pp.49-59
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• 2007

The purposes of this study were to determine the price elasticities of foodcourt-styled university foodservice, and to identify the attributes that affect these price elasticities. Questionnaires were distributed to 700 students at the K University in Masan, from September 21-27, 2006. 478 questionnaires were ultimately included in the final analysis(response rate: 68.3%). For statistical analysis, SPSS(12.0) was used to conduct the descriptive analysis, t-test, and ANOVA. The results of this study were as follows. The average meal price for in-campus foodservice was \ 2,196 and the average meal price for an off-campus restaurant was \3,044. The university students recognized that the proper price for in-campus foodservice and an off-campus restaurant were, respectively, \2,127 and \ 2,884. The price elasticities for foodcourt-styled university foodservice were 4.20(Kko-Bul-Kko-Bul), 3.83(Il-Poom-Hyang), and 4.10(Ne-Mo-Baek_Ban). The factors that affected price elasticity included the frequency of visiting foodservice, foodservice satisfaction, price satisfaction, and customer's responses to increased meal prices. The recommended price strategy for foodcourt-styled university foodservice was to lower meal price, which would attract more students and increase the sales volume. Simultaneously, foodservice managers should attempt to improve and increase customer satisfaction and the customer's perceived value for meal price. Overall, price elasticity may prove helpful in predicting the customer's behaviors on price changes, and may provide useful basic data for foodservice managers when establishing price strategy.

• Korean Journal of Community Nutrition
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• v.4 no.4
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• pp.587-593
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• 1999

The purpose of this study were to : (a) analyzed price elasticity of university students in foodservice operations and (b)provide insight for price decision-making. Questionnaires were composed of price elasticity, the utilization and opinions of students on university foodservice operations, and demographic information regarding respondents. The questionnaires were distributed to 600 university students of 6 universities located in Seoul. Statistical data analysis was completed using the SAS package for descriptive analysis, t-test, ANOVA, and Pearson’s correlation. The results of this study can be summarized as follows: The average price for lunch was ￦1,663 for campus food, and ￦2,965 for off-campus restaurants. The frequency of utilizing the university cafeteria was fairly high. Students felt that the proper price for lunch was ￦1,446, presenting a lower price than the actual average price for lunch. The price elasticity was investigated in relation to the change in utilization rate when these was a price increase. The price elasticity was 2.03, with significant differences between sex, age, and major. The groups utilizing the university cafeteria frequently, taking longer time to go to off-campus or that were satisfied with the university cafeteria, had a lower price elasticity than those that did not. The results of this study suggest that predicting the price elasticity of the target market would assist the pricing policy, and the fact that the same students have different price elasticity by place and atmosphere can be used in marketing strategies.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.721-733
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• 2011

We consider the state price densities that are implicit in financial asset prices. In the pricing of an option, the state price density is proportional to the second derivative of the option pricing function and this relationship together with no arbitrage principle imposes restrictions on the pricing function such as monotonicity and convexity. Since the state price density is a proper density function and most of the shape constraints are caused by this, we propose to estimate the state price density directly by specifying candidate densities in a flexible nonparametric way and applying methods of regularization under extra constraints. The problem is easy to solve and the resulting state price density estimates satisfy all the restrictions required by economic theory.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.51
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• pp.133-158
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• 2011

The purpose of this study is to analyze one of CIETEC(China International Economic and Trade Arbitration Commission) Award on the dispute arising from Cotton Sale Contact which deals with damages and reduction of the price. Especially this case focused on the effect of reduction of the price to damages. The purpose of damages is to place the aggrieved party in as good a position as if the other party had properly performed the contract. So court costs and attorney's fee should be regarded as the loss, because these are caused by consequence of the breach which is recoverable. With the same reason, overpaid taxes should also regard as the loss. It is not impossible, however, to claim both damages and reduction of the price for same loss at the same time. It means buyer could not claim damages for the same loss, once he already claimed reduction of the price. So Korean companies should consider which remedy is proper to himself under the circumstances. He should choose reduction of the price when market price is down. In case of rising market price, he should consider follows: first, it is better to choose damages based on current price(Art.76), if upswing of non-conformity price is higher then upswing of market price. Second, it is better to choose general rule for measuring damages(Art.74), if upswing of market price is higher then upswing of non-conformity price.

• Journal of the Korean Data and Information Science Society
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• v.18 no.4
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• pp.945-953
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• 2007

In this paper, we propose a smoothing and thus noise-reducing method of data sequences for stock price prediction with hidden Markov models, HMMs. The suggested method just uses simple moving average. A proper average size is obtained from forecasting experiments with stock prices of bank sector of Korean Exchange. Forecasting method with HMM and moving average smoothing is compared with a conventional method.