• Title/Summary/Keyword: Time-Lag Hypothesis

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Numerical Analysis of Nonlinear Combustion Instability Using Pressure-Sensitive Time Lag Hypothesis (시간지연 모델을 이용한 비선형 연소불안정 해석기법 연구)

  • Park Tae-Seon;Kim Seong-Ku
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.30 no.7 s.250
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    • pp.671-681
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    • 2006
  • This study focuses on the development of numerical procedure to analyze the nonlinear combustion instabilities in liquid rocket engine. Nonlinear behaviors of acoustic instabilities are characterized by the existence of limit cycle in linearly unstable engines and nonlinear or triggering instability in linearly stable engines. To discretize convective fluxes with high accuracy and robustness, approximated Riemann solver based on characteristics and Euler-characteristic boundary conditions are employed. The present procedure predicts well the transition processes from initial harmonic pressure disturbance to N-like steep-fronted shock wave in a resonant pipe. Longitudinal pressure oscillations within the SSME(Space Shuttle Main Engine) engine have been analyzed using the pressure-sensitive time lag model to account for unsteady combustion response. It is observed that the pressure oscillations reach a limit cycle which is independent of the characteristics of the initial disturbances and depends only on combustion parameters and operating conditions.

A Study on the Distributed Lag Model by Bayesian Decision Making Method (분포시차모형의 Bayesian 의사결정법에 관한 연구)

  • 이필령
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.8 no.11
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    • pp.27-34
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    • 1985
  • Recently the distributed lag models for time series data have been used in several quantitative analyses. But the analyses of time series which have the serial correlations in error terms and the lagged values of dependent variables violate the hypothesis of OLS method. This paper suggests that the approach technique of distributed lay model with serial correlation should be applied by the Bayesian inference to estimate the parameters. For the application of distributed lag model by Bayesian analysis, the data for monthly consumption expenditure per household by items of commodities from 1972 to 1981 are used in order to estimate the lagged coefficient of processed food and the regression coefficient of the food and beverage.

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R&D and Environmental Kuznets Curve Hypothesis: CO2 Case (R&D 투자와 환경쿠즈네츠 곡선 가설: CO2 사례 분석)

  • Kang, Heechan;Hwang, Sangyeon
    • Environmental and Resource Economics Review
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    • v.25 no.1
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    • pp.89-112
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    • 2016
  • In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

An Analysis for the Adjustment Process of Market Variations by the Formulation of Time tag Structure (시차구조의 설정에 따른 시장변동의 조정과정 분석)

  • 김태호;이청림
    • The Korean Journal of Applied Statistics
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    • v.16 no.1
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    • pp.87-100
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    • 2003
  • Most of statistical data are generated by a set of dynamic, stochastic, and simultaneous relations. An important question is how to specify statistical models so that they are consistent with the dynamic feature of those data. A general hypothesis is that the lagged effect of a change in an explanatory variable is not felt all at once at a single point in time, but The impact is distributed over a number of future points in time. In other words, current control variables are determined by a function that can be reduced to a distributed lag function of past observations. It is possible to explain the relationship between variables in different points of time and to estimate the long-run impacts of a change in a variable on another if time lag series of explanatory variables are incorporated in the model specification. In this study, distributed lag structure is applied to the domestic stock market model to capture the dynamic response of the market by exogenous shocks. The Domestic market is found more responsive to the changes in foreign market factors both in the short and the long run.

Transmission Effect of Price Variations (가격변동의 전이효과)

  • Kim, Tae-Ho;Ann, Ji-Hee
    • Communications for Statistical Applications and Methods
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    • v.17 no.2
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    • pp.241-253
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    • 2010
  • As standard unit root tests are empirically proved to fail to reject the null hypothesis of a unit root for many economic and business time series, it is doubtful that most of those series are informative about the existence of a unit root or that those tests are powerful against relevant alternative hypotheses. This study attempts to perform tests of the null hypothesis of stationarity as well as tests of the null hypothesis of a unit root using the time series data of housing prices in the major metropolitan areas. The results of the additional analyses such as lead-lag, cross-correlation and impulse response for testing the statistical interrelationships between the prices are generally found to be consistent.

Identifying the Chickens-Eggs Statistical Lead-Lag Dilemma (닭-달걀 간 통계적 인과성 논란의 판별)

  • Kim, Tae Ho;Kim, Min Jeong;Lee, Jeen Woan
    • The Korean Journal of Applied Statistics
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    • v.26 no.3
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    • pp.401-411
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    • 2013
  • This study investigates the controversial chickens-eggs dilemma and empirically performs statistical tests to examine if there exists a causality between them. Granger and Hsiao tests are applied to both level and stationary variables to identify the lead-lag relationships. Each of these test is found to have the robust result where the causality runs from eggs to chickens; in addition, the explanatory power of one variable in variations of the other appears to remain time invariant. The outcome is proved to be valid as the hypothesis test for no structural change in their relationship fails to be rejected.

The Negative Impact Study on the Information of the Large Discount Retailers

  • Kim, Jong-Jin
    • Journal of Distribution Science
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    • v.13 no.7
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    • pp.33-40
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    • 2015
  • Purpose - This study aims to find out what impacts large retailers' behaviors appearing when they promote the strengthening of their market dominating power in the trade relations with small and medium suppliers or in the market can have on consumers. Research design, data, methodology - This study analyzed negative information (news) on large retailers (Lotte Mart, E-Mart and Homeplus) based on the monthly data over the past five years from 2008 to 2012 and also analyzed the correlation between dependent variables that are likely to affect sales through large retailer economic index, Results - This study conducted a correlation analysis on the time lag of the factors that have an impact on the negative information and sales of large retailers in order to analyze how consumers respond to the choice of large retailers' store (store sales) when they perceived negative information about the un- ethical behaviors of large retailers. Conclusions - Unfair and negative information on large retailers appeared significant for the hypothesis that sales will be affected by the image of large retailers and change of consumer attitudes.

The study on the characteristics of the price discovery role in the KOSPI 200 index futures (주가지수선물의 가격발견기능에 관한 특성 고찰)

  • 김규태
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.2
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    • pp.196-204
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    • 2002
  • This paper examines the price discovery role of the KOSPI 200 futures index for its cash index. It was used the intrady data for KOSPI 200 and futures index from July 1998 to June 2001. The existing Preceding study for KOSPI 200 futures index was used the data of early market installation, but this study is distinguished to use a recent data accompanied with the great volume of transaction and various investors. We established three hypothesis to examine whether there is the price discovery role in the KOPSI 200 futures index and the characteristics of that. First, to examine whether the lead-lag relation is induced by the infrequent trading of component stocks, observations are sorted by the size of the trading volume of cash index. In a low trading volume, the long lead time is reported and the short lead time in a high volume. It is explained that the infrequent trading effect have an influence on the price discovery role. Second, to examine whether the lead-lag relation is different under bad news and good news, observations are sorted by the sign and size of cash index returns. In a bad news the long lead time is reported and the short lead time in a good news. This is explained by the restriction of"short selling" of the cash index Third, we compared estimates of the lead and lag relationships on the expiration day with those on days prior to expiration using a minute-to-minute data. The futures-to-spot lead time on the expiration day was at least as long as other days Prior to expiration, suggesting that "expiration day effects" did not demonstrate a temporal character substantially different form earlier days. Thus, while arbitrage activity may be presumed to be the greatest at expiration, such arbitrage transactions were not sufficiently strong or Pervasive to alter the empirical price relationship for the entire day. for the entire day.

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A Study on the Effects of Forms of R&D Strategy on Corporate Financial Performance (R&D 전략의 형태가 기업 재무성과에 미치는 영향에 관한 연구)

  • Mun, Hee-Jin;Lee, Joo-Sung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.1
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    • pp.67-81
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    • 2010
  • In Schumpeterian competition, superior profit arises from successful innovation created by firm's R&D strategy. Such R&D strategy diverges as time passes. This study examines empirically the effects of diverged forms of R&D strategy such as technological assets, technological diversity, and technological similarity on firm performance in Korean pharmaceutical industry. With the financial and patent data of 96 firms for 14 years from 1994 to 2007, we measured variables. And then we performed panel analysis with 3 years lag between dependent variable and other variables. The result shows that firm performance increases as technological asset and technological diversification increase. But technological similarity positively affects on firm performance in opposition to our hypothesis. We interpret and discuss these results and highlight the theoretical and practical implications of our findings.

Effects Of Atmospheric Pressure And Wind Stress On Daily Mean Sea Level In The Bay Of Biscay. Analysis Of Continental Shelf Waves

  • Lie, Heung-Jae
    • 한국해양학회지
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    • v.14 no.2
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    • pp.45-53
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    • 1979
  • The barometric factor is estimated at five stations in the Bay of Biscay from the linear regression between daily mean sea level and atmospheric pressure. The results show that the adjusted sea level change is important in amplitude in spite of the barometric response of the sea level to the atmospheric pressure. The cross-correlations between adjusted sea levels and the two components of wind stress suggest that the adjusted sea level is highly related to the longshore wind stress. The observed phase and the time lag between adjusted sea levels at adjacent stations aree consistent with the hypothesis of the northward travelling continental shelf waves.

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