نتایج جستجو برای: granger

تعداد نتایج: 3636  

2005
Paresh Kumar Narayan Russell Smyth

This article employs cointegration and error-correction modelling to test the causal relationship between real income, exports and human capital stock using data for China over the period 1960 to 1999. We find that real exports, human capital and real income are cointegrated when real exports is the dependent variable, but are not cointegrated when human capital or real income are the dependent...

2002
Eric Renault

We provide a structural approach to disentangle Granger versus instantaneous causality effects from transaction durations to transaction prices. So far, in the literature, instantaneous causality effects have either been excluded or cannot be identified separately from Granger type causality effects. By giving explicit moment conditions for observed returns over (random) transaction duration in...

Journal: Iranian Economic Review 2014

This paper examines the causality between concentration in banking industry and economic growth by using data across 15 countries named in "Iran outlook in 2025", over the period 2004-2011. Our aim is to assess whether the economy grows more or less rapidly in areas where the banking sector is more concentrated. The topic is motivated by the fact that the causality between concentration in bank...

Journal: :Journal of Applied Statistics 2015

Journal: :Nature Sciences Sociétés 2001

Journal: :اقتصاد و توسعه کشاورزی 0
شاه آبادی شاه آبادی محمودی محمودی

abstract in this paper, we examine relationship between financial intermediary development variables and values added of agricultural sector in iran during 1352 to 1385. the five indices derived from the banking system as a financial intermediary development indicators, that define in related to the agricultural sector, and with the introduction of statistic methods of factor analysis and its a...

Journal: :Journal of neuroscience methods 2014
Lionel Barnett Anil K Seth

BACKGROUND Wiener-Granger causality ("G-causality") is a statistical notion of causality applicable to time series data, whereby cause precedes, and helps predict, effect. It is defined in both time and frequency domains, and allows for the conditioning out of common causal influences. Originally developed in the context of econometric theory, it has since achieved broad application in the neur...

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