• Title/Summary/Keyword: Multinomial Logit Model

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Prediction of box office using data mining (데이터마이닝을 이용한 박스오피스 예측)

  • Jeon, Seonghyeon;Son, Young Sook
    • The Korean Journal of Applied Statistics
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    • v.29 no.7
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    • pp.1257-1270
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    • 2016
  • This study deals with the prediction of the total number of movie audiences as a measure for the box office. Prediction is performed by classification techniques of data mining such as decision tree, multilayer perceptron(MLP) neural network model, multinomial logit model, and support vector machine over time such as before movie release, release day, after release one week, and after release two weeks. Predictors used are: online word-of-mouth(OWOM) variables such as the portal movie rating, the number of the portal movie rater, and blog; in addition, other variables include showing the inherent properties of the film (such as nationality, grade, release month, release season, directors, actors, distributors, the number of audiences, and screens). When using 10-fold cross validation technique, the accuracy of the neural network model showed more than 90 % higher predictability before movie release. In addition, it can be seen that the accuracy of the prediction increases by adding estimates of the final OWOM variables as predictors.

A Review on Dynamic Changes of Consumer's Attributes and Marketing Mix Strategies of Cut Roses in Korea (장미에 대한 선호속성의 동태적 변화와 마케팅 믹스전략 탐색)

  • Kim, Bae-Sung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.10
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    • pp.4328-4336
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    • 2011
  • The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).

A Study on Bicycle Accident Patterns at Urban Intersections (도시부 교차로에서의 자전거 사고유형 분석에 관한 연구)

  • Kim, Do-Hoon;Cho, Han-Seon;Kim, Eung-Cheol
    • International Journal of Highway Engineering
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    • v.10 no.4
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    • pp.117-125
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    • 2008
  • Recently, users of bicycles as a green mode are rising sharply, but there are few efforts to increase bicycle safety and to decrease the number of accidents between vehicles and bicycle users. Therefore, this research seeks to improve bicycle safety at intersections by analysing causation factors of bicycle accidents pattern and providing optimal intersection design guidelines. For this study, real bicycle accident data of fifty six occurred in the Incheon metropolitan area in the year of 2005 were collected and field surveys were conducted. In addition, this research developed a bicycle accident pattern model with using multinomial logit model. The model results showed that presence of fatality, presence of traffic islands on the minor road, highway_type, weather, presence of traffic bus_stop on the major road, minor road lane width, victim induce factor are significant for bicycle safety.

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Modal Choice with Travel Time Reliability (통행시간 신뢰도를 고려한 통행수단선택모형에 관한 연구)

  • Nam, Doo-Hee;Park, Dong-Joo
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.7-16
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    • 2004
  • In mode choice decision, travelers consider not only travel time but also reliability of its modes. In this paper, reliability was expressed in terms of standard deviation and maximum delay that were measured based on triangular distribution. In order to estimate value of time and value of reliability, the Multinomial and Nested Logit models were used. The analysis results revealed that reliability is an important factor affecting mode choice decisions. Elasticity is used to estimate the impacts of the different policies and system improvements for water transportation mode. Among these policies, decision maker can assess and select the best alternative by doing the benefit and cost analysis based on a new market share, the value of time, and the value of reliability. Finally, a set of promising policies and system improvement of the water transportation were proposed.

Usefulness of In-store Spotting Survey in Developing a Supermarket Location Analysis Model (내점객 인터뷰에 근거한 슈퍼마켓 입지분석 모델의 실용성 평가)

  • 서성무;고윤배
    • Asia Marketing Journal
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    • v.1 no.1
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    • pp.5.1-5.11
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    • 1998
  • 이 연구는 2차자료가 부족한 우리나라 슈퍼마켓 업체의 여건을 감안하여 간편하게 활용할 수 있는 입지분석 모델의 가능성을 탐구하였다. 연구모델은 두 가지 기준을 근거로 모두 네가지 모델을 설정하고 비교검토했다. 먼저 표본추출방법에 의해 내점객표본과 지역할당표본으로 분류하고, 이것을 다시 포함하는 변수의 범위에 따라 축소모델과 확장모델로 구분하였다. 공간상호작용모델의 추정에는 MNL(Multinomial Logit)방식을 이용했다. 분석결과 내점객표본으로 조사해서 얻은 응답자의 주거지와 주로 찾는 점포, 그리고 사전적으로 입수한 경쟁점포의 매장면적, 인접점포까지의 거리에 대한 자료만을 이용해서 추정한 가장 간단한 모델이 비교적 만족스러운 결과를 나타냈다.

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Evaluating Proton Accelerator in Korea (양성자가속기시설의 편익분석)

  • Jeong, Kiho;Cho, Jinsam;Kim, Jeeyoung;Kim, Junyeon
    • Environmental and Resource Economics Review
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    • v.15 no.4
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    • pp.741-760
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    • 2006
  • As a part of the 21st Century Frontier Projects, Korea is building a proton linear accelerator complex. Using the discrete choice conjoint analysis method, this study evaluates the complex. Multinomial logit model is employed as an econometric model and Hicks' compensating variation is adopted as a welfare measure. The results show that an average willingness-to-pay (WTP) of a would-be user measured by the compensating variation is estimated by 1.93 million Korean won per hour for the specification of the complex being built.

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A Exploratory Study on the Determinants of Welfare Attitudes of Korean Youth: Focusing on Old Age Responsibility (한국 청소년의 복지의식 결정요인에 대한 탐색적 연구: 노후복지 책임주체를 중심으로)

  • Kim, Shin-Young
    • Survey Research
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    • v.9 no.1
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    • pp.23-42
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    • 2008
  • This study purports to examine the potential determinants of welfare attitudes of Korean Youth. In a sense, this study could be considered as exploratory since the independent variables for model are chosen in a somewhat arbitrary manner. The independent variables are mostly value orientation of Youth. The welfare attitude is measured by the question asking respondent's nonnative idea on the primary care-giver in the old age. Data has been collected by National Youth Policy Institute as a part of research project, named "Korean Youth Development Indicators". The analysis shows that the welfare attitudes of Korean youth is influenced. by a number of factors. such as parent's education, a proxy for the parents' SES, attitude toward equality. and state's responsibility in general. The author contends that although this is an exploratory kind of study, this study contributes not only to the research in the field, hut also to the welfare policy-makers by providing generalizable outcomes on the value and attitudes of Korean youth on welfare issues. After all, policy needs public supports to be sustained.

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Analysis of Vehicle Demand by Fuel Types including Hydrogen Vehicles (수소차를 포함한 연료유형에 따른 자동차 수요 분석)

  • Yuhyeon Bak;Jee Young Kim;Yoon Lee
    • Environmental and Resource Economics Review
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    • v.32 no.3
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    • pp.167-190
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    • 2023
  • This study analyzes the potential demand for automobiles based on fuel type using survey data in Korea. The dependent variable of the model is the future desired fuel type, including gasoline, diesel, hybrid, electricity, and hydrogen. The main explanatory variables are the respondent demographic characteristics, key reasons for choosing vehicle fuel type and environmental awareness extracted via principal component analysis (PCA). Using a multinomial logit (MNL) model, we find that respondents who consider fuel economy and infrastructure increase the demand for a hybrid car but decrease the demand for electric and hydrogen vehicles. The denial-types increase the demand for gasoline (petrol) and diesel (light oil), and decrease the demand for electric vehicles. The anxiety-types increase the demand of hybrid vehicles, and decrease the demand for electric vehicles. In contrast, in the case of pro-types, the demand for diesel (light oil) hydrogen vehicles decreased.

Analysis on Preceding Study of Consumer's Store-Choice Model: Focusing on Commercial Sphere Analysis Theories

  • Quan, Zhi-Xuan;Youn, Myoung-Kil
    • The Journal of Industrial Distribution & Business
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    • v.7 no.4
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    • pp.11-16
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    • 2016
  • Purpose - There are numerous theories for retail trade area analysis which are designed to select candidate locations for new stores. In this study, comparative analysis on the characteristics from those of the theories are shown, and the explanation for the power in consumers' store-choice behaviors and their limitations are examined. Also, plans for improving commercial sphere analysis are explored. Research design, data, and methodology - This study is based on literature reviews with normative research methodology. Among many researches regarding the analysis on the location and commercial sphere for launching a new store, researches relying on statistics are excluded in this study since they belong to the marketing research area,. Results - In the Law of retail gravitation, Huff's model multinomial logit model and etc. are mutual complementary mathematical techniques for analyzing commercial spheres and each of them has its own characteristics. These theories rely on the same hypothesis in which consumers are all believed to be behaving rationally under a similar behavioral system. However, the trial in explaining or estimating behavior of choosing a store with only a select size of the population that is objectively estimated by some major properties has limits in its credibility. Conclusion - Research on consumer's spatial behaviors can be fully illustrative and explainable when it has both quantitative approaches such as 'law of retail gravitation', 'logit model' and etc., and qualitative approaches like consumer's 'cognitive structure', 'learning status', 'image formation', 'attitude' and etc.

Study of the Determinants of R&D Cooperation : Empirical Evidence from Korean Manufacturing SMEs (기술협력 유형 결정요인에 관한 실증연구: 중소제조기업을 중심으로)

  • Kim, Hyung-Soo;Yang, Dong-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.11
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    • pp.6587-6598
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    • 2014
  • This study tested the hypothesis from the previous research issues and empirically investigated the determinants of cooperative strategy for technological innovation, using the multinomial logit model. The meaningful conclusions from this study are as follows. First, the characteristics of the company and product are not the significant determinants for cooperative strategy for technological innovation. Second, formal R&D organization characteristics are significant factors in determining the type of cooperative strategy for technological innovation. Third, the support of government is a significant determinant and if a company receives more government support, it is likely to accept public type cooperation. Fourth, the characteristics of industry are significant determinants and if a company belongs to a higher technology industry, it is likely to accept vertical type cooperation with private enterprises. This study analyzed the hypotheses raised in a variety of studies empirically. This paper presents the basis of various studies concerning technological cooperation strategies.