نتایج جستجو برای: we have run some var models
تعداد نتایج: 6668803 فیلتر نتایج به سال:
abstract the current study set out to address the issue as to whether the implementation of portfolio assessment would give rise to iranian pre-intermediate efl learner autonomy. participants comprised 60 female in pre-intermediate level within the age range of 16-28.they were selected from among 90 language learners based on their scores on language proficiency test -key english test. then, t...
the main objective of this study was to evaluate the response of consumers to changes in income and prices of chicken meat in the short run and long run. in order to achieve this goal, vector auto regression (var) and vector error correction model (vecm) have been applied to data since 1974 to 2007. impulse response function (irf) calculation indicated that past and present consumption of chick...
We propose a canonical representation of the long run matrix, which can constitute a basis for non-causality testing. This representation requires to determine a sub-matrix rank, which can be done using a test procedure, whose properties are analysed with Monte-Carlo experiments. 2000 Elsevier Science S.A. All rights reserved.
methodology non-native participants in this study were sixty ba students majoring in english literature and teaching english as a foreign language at khayyam university of mashhad. they were senior students, between 21 to 24 years old, who had studied english for at least three and a half years and had passed several courses including grammar, reading, conversation, and writing. this was assum...
Various types of impulse responses have been used for interpreting nite order vector au-toregessive (VAR) models in the stationary as well as the nonstationary cointegrated case. In practice, nite order VAR processes are regarded as rough approximations to the actual data generation process at best. Therefore we derive some general asymptotic results for innnite order cointegrated VAR processes...
there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...
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