• 제목/요약/키워드: Explanatory variable

검색결과 428건 처리시간 0.023초

An Economic Analysis of the Determinants of Studio Apartment Prices in Seoul

  • Jeong, Seung-Young;Son, Jin-A
    • 유통과학연구
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    • 제12권9호
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    • pp.47-52
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    • 2014
  • Purpose - There has been little research on the variables influencing studio apartment values. This study aims to identify variables affecting the value of studio apartments in Seoul by empirically examining the interaction between sale prices and characteristics studio apartment characteristics. Research design, data, and methodology - We have analyzed data pertaining to 142 studio apartments in September 2010. A regression analysis model is constructed to test the significance of the variables in relation to the studio apartment sale prices per m2 in Seoul. Results - The age of the building is comparatively more significant than land use as the explanatory variable. Land price is the key variable affecting studio apartment sale prices and investors are willing to pay high implicit sale prices for locations that are associated with high land prices. Conclusions - The age of buildings explains a significant portion of the variability of the sale prices of studio apartment. Higher land prices result in higher sale prices for studio apartments. The older the buildings, the lower the sale prices of the studio apartments.

Partially linear multivariate regression in the presence of measurement error

  • Yalaz, Secil;Tez, Mujgan
    • Communications for Statistical Applications and Methods
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    • 제27권5호
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    • pp.511-521
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    • 2020
  • In this paper, a partially linear multivariate model with error in the explanatory variable of the nonparametric part, and an m dimensional response variable is considered. Using the uniform consistency results found for the estimator of the nonparametric part, we derive an estimator of the parametric part. The dependence of the convergence rates on the errors distributions is examined and demonstrated that proposed estimator is asymptotically normal. In main results, both ordinary and super smooth error distributions are considered. Moreover, the derived estimators are applied to the economic behaviors of consumers. Our method handles contaminated data is founded more effectively than the semiparametric method ignores measurement errors.

고등학교 가정과교육과정에서 컴퓨터 보조수업(CAI)에 대한 학생의 요구분석 (High School Girls' Need Assessment about the Computer Assisted Instruction(CAI) in the Home Economics Curriculums)

  • 서정희;김순자
    • 대한가정학회지
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    • 제37권5호
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    • pp.31-48
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    • 1999
  • This research was to assess the high school girls' need about the computer assisted instruction(CAI) in the Home Economics Curriculum. In One-way ANOVA, the high school girls' need about the CAI differs in the educational level of the father and the mother, the preference for the Home Economics, the involvement with the Home Economics and the preference for a teaching method of Home Economics. MCA was done to assess the independent explanatory power of predictory variables. The educational level of father and mother were included separately in different model. The MCA that the educational level of father was included in, The most influential variable was the preference for the Home Economics and the involvement with Home Economics was the second. The MCA that the educational level of mother was included in, The most influential variable was the preference for the Home Economics and the educational level of mother was the second.

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Integration of Technology Acceptance Model (TAM), Marketing Relationships, and Sharia Compliance in Indonesia's Islamic e-banking

  • USMAN, Hardius;PROJO, Nucke Widowati Kusumo
    • Asian Journal of Business Environment
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    • 제12권4호
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    • pp.25-34
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    • 2022
  • Purpose This research develops the expanded Technology Acceptance Model (TAM) to investigate the relationship between perceived usefulness and perceived ease of use with satisfaction and loyalty by considering the role of sharia compliance, commitment, and trust. Research design, data and methodology: A data source is 300 respondents from a self-administered survey. The target population is Muslims who are customers of Islamic banks, with age at least 18 years, and used e-banking to make payment transactions. The analysis methods are MANOVA and Multiple Linear Regression. Results: The results suggest that intention to use and actual behavior variables are replaced with satisfaction and loyalty. Commitment is not recommended, while trust is an explanatory variable that can be used as an external variable. Conclusions: It is important to increase satisfaction and commitment also concentrate to various aspects of sharia compliance to increase customer's loyalty to use e-banking. The fulfillment of sharia compliance by Islamic banks will increase the Islamic bank customers loyalty.

다변량 분할 역회귀모형에 관한 연구 (A study on the multivariate sliced inverse regression)

  • 이용구;이덕기
    • 응용통계연구
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    • 제10권2호
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    • pp.293-308
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    • 1997
  • 일변량 분할 역회귀 방법은 일반화 회귀모형에서 효과적인 차원축약방향과 공간을 추정하는 방법이다. 본 논문에서는 두 일반화 회귀모형을 동시에 고려하여 효과적인 차원축약방향과 공간을 추정하는 방법으로 이변량 분할 역회귀를 제안한다. 이러한 이변량 분할 역회귀 방법은 모형식이 선형, 이차형, 삼차형, 비선형 등의 여러 모형식에서 효과적인 차원축약방향을 추정하며, 일변량 분할 역회귀에 비하여 모형에 존재하는 오차에 크게 영향을 받지 않고 효과적인 차원축약방향을 추정한다. 특히 모형식이 대칭의 이차형인 경우에 일변량 분할 역회귀 방법이 효과적인 차원축약방향을 추정하지 못하는 문제를 해결할 수 있다.

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내재된 인자회귀모형의 베이지안 분석법 (Bayesian analysis of latent factor regression model)

  • 경민정
    • 응용통계연구
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    • 제33권4호
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    • pp.365-377
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    • 2020
  • 선형모형에서 두개 이상의 설명변수들 사이에 존재하는 다중공선성 문제를 변수들 간에 내재되어 있는 공통의 구조인 인자를 구성하고, 인자들을 회귀변수로 사용하여 해결하는 인자회귀모형에 대하여 논의한다. 무한개로 가정 가능한 내재된 인자 중 유의미한 인자적재행렬을 구성하기 위하여 벌점모수의 값이 큰 LASSO 사전분포를 적용하는 베이지안 추정법을 사용한다. 결정된 인자적재행렬과 다른 모수들의 추정값을 각 설명변수의 선형모수로 역변환 하여, 새로운 관측값에 대한 예측 모형으로도 사용한다. 제안한 방법을 제품 서비스 관리 자료에 적용하여 정해진 인자의 개수에 대한 인자가 일반적인 공통인자회귀모형과 동일한 결과를 나타냄을 확인하였고, 일반적인 공통인자회귀모형과 비교를 위해 계산한 평균 제곱 오차값이 더 작다는 것을 알 수 있었다.

아버지의 자녀 양육참여도와 부모역할만족도에 관한 연구 (A study on Paternal Child Rearing Involvement and Parental Satisfaction)

  • 양미경
    • 대한가정학회지
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    • 제34권4호
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    • pp.86-101
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    • 1996
  • The purpose of the study was to investigate whether there were differences between the Paternal child rearing Involvement and the Parental Satisfaction according to child's sex, father's age and the birth order of child. The subjects surveyed were 271 fathers 132 in their thiries and 139 in their forties who live in Kwang-ju. And the children considered are 128 boys and 143 girls. Among them, first-born children are 143 members, second-born are 103, and third-born are 25. Factor analysis, frequencies, mean, standard deviation, Cronbach's α, one way-ANOVA, Pearson's correlation coefficient, and step-wise regression are used for data-analysis. The main results were as follows : (1) There were some significant differences in the Paternal child rearing Involvement according to the child's sex, while there was no difference as related the father's age and the birth-order of child. (2) The were some significant differences in the father's Parental Satisfaction which is involved child's sex and the father's age, but there was no difference as to the birth-order of child. (3) There were some significant differences between the Paternal Child rearing Involvement and the Parental Satisfaction, and between its subfactor and the Parental Satisfaction, too. (4) The result of the step-wise regression, which analyses the Paternal child rearing Involvement and the background variables as to father's Parental Satisfaction, shows the Parent-child relationship variable (accounted for about32% of the general variation), spouse support, support of children, general satisfaction, and parent's role conflict at intensity in order. Of the above mentioned five fields, house-activities were the first factor in determining this order. And the personal interaction plays an important role in fulfilling general satisfaction and the support of children. The leisure-action factor was the second explanatory factor in establishing the parent-child relationship. Finally father's age was the fourth explanatory factor in assessing the parent-child relationship variable considering the background variables.

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The Effect of Bribery on Firm Innovation: An Analysis of Small and Medium Firms in Vietnam

  • NGUYEN, Toan Ngoc
    • The Journal of Asian Finance, Economics and Business
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    • 제7권5호
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    • pp.259-268
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    • 2020
  • This study aims to provide empirical evidence on the causal relationship between bribery and firm innovation. To this end, we use a micro-dataset of small and medium firms in Vietnam surveyed in 2015. Given the binary nature of the dependent variable, a simple probit regression model is employed. However, as bribery variable is potentially endogenous, a simple probit regression may give biased estimates. We deal with the potential endogeneity by making use of the bivariate probit model. A property of the bivariate probit model is that it can produce efficient estimates of a typical probit model with endogenous binary explanatory variable. A Hausman-like likelihood ratio test is implemented following the estimation to test the existence of endogeneity. We find that bribery significantly undermines firm innovation. Also, firms run by household appear less innovative. The probability of innovation diminishes significantly if firm owners or managers have previous experience in firm products. As expected, larger firms seem to be more innovative. Exporters tend to be more innovative compared to non-exporters. Our findings provide support to the hypothesis that bribery is detrimental to firm innovation and, thus, innovation may be a mediating channel, through which, bribery impedes firm long-term performance.

부분선형모형에서 LARS를 이용한 변수선택 (Variable selection in partial linear regression using the least angle regression)

  • 서한손;윤민;이학배
    • 응용통계연구
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    • 제34권6호
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    • pp.937-944
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    • 2021
  • 본 연구는 부분선형모형에서 변수선택의 문제를 다룬다. 부분선형모형은 평활화모수 추정과 같은 비모수 추정과 선형설명변수에 대한 추정의 문제를 함께 포함하고 있어 변수선택이 쉽지 않다. 본 연구에서는 빠른 전진선택법인 LARS 를 이용한 변수선택법을 제시한다. 제안된 방법은 LARS에 의하여 선별된 변수들에 대하여 t-검정, 가능한 모든 회귀모형 비교 또는 단계별 선택법을 적용한다. 제안된 방법들의 효율성을 비교하기 위하여 실제데이터에 적용한 예제와 모의실험 결과가 제시된다.

An Analysis of the Exchange Rate Regime of Nepal: Determinants and Inter-Dynamic Relationship with Macroeconomic Fundamentals

  • DAHAL, Suresh Kumar;RAJU, G. Raghavender
    • The Journal of Asian Finance, Economics and Business
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    • 제9권7호
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    • pp.27-39
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    • 2022
  • The exchange rate is an important macroeconomic variable that influences internal and external balances. Nepal follows a dual exchange rate such that the Nepali rupee (NPR) is pegged with the Indian rupee (INR) but floats with the United States dollar (USD) and all other currencies. There have been very few studies on the exchange rate of Nepal, of which the majority focus on the bivariate relationship between exchange rate and another variable. However, this paper analyses the multivariate relationship between the USD-NPR exchange rate and major macroeconomic variables. Determinants of Nepal's exchange rate have been derived with multiple regression using the ordinary least square (OLS) approach. Since the explanatory variables could not significantly capture the movement of the dependent variable, a long-run relationship between Nepal and India's exchange rate has been analyzed using Engle-Granger cointegration to establish a relationship as suggested by a graphical representation. This explains that Nepal's exchange rate long run is determined by India's exchange rate than its own fundamentals. In addition, the macro-linkages of Nepal's macroeconomic variables have been analyzed using Standard Vector Autoregressive models followed by impulse response analysis which is useful for policy decisions. Some policy implications indicating the sustainability of Nepal's pegged regime have been drawn based on the empirical analysis.