this paper investigates the relationship between total energy consumption and gdp in six countries of the middle east , including iran,pakistan,saudi arabia,oman,bahrain and the united arab emirates. the data are annual and spanning the period 1980-2012.we employed hsiao’s (1981) methodology to examine causality relation between total energy consumption and gdp.the empirical findings show a uni...

This paper investigates the relationship between total energy consumption and GDP in six countries of the Middle East , including Iran,Pakistan,Saudi Arabia,Oman,Bahrain and the United Arab Emirates. The data are annual and spanning the period 1980-2012.We employed Hsiao’s (1981) methodology to examine causality relation between total energy consumption and GDP.The empirical findings show a uni...

the economy's dependence on oil revenues and derivatives of these products make the country's economy heavily influenced by the volatility and instability of the pricing of these products. therefore, it seems necessary to develop non-oil exports. this paper examines the causality relation and the effect of foreign direct investment, economic openness and real exchange rate on non-oil ...

It is proven thatK-causality coincides with stable causality, and that in a K-causal spacetime the relation K coincides with the Seifert’s relation. As a consequence the causal relation “the spacetime is strongly causal and the closure of the causal relation is transitive” stays between stable causality and causal continuity.

This paper focuses on the causality relation between US and the several Asia-pacific markets (Japan, China, Hong Kong, Taiwan, Singapore, Korea, and Indonesia). We check the causality of the co-movement among the markets across Pacific by using Granger-Causality test, VAR, and event studying on unexpected high volatile period. Our tests show that U.S. and Japan have strong influence to other As...

This paper develops a minimally supervised approach, based on focused distributional similarity methods and discourse connectives, for identifying of causality relations between events in context. While it has been shown that distributional similarity can help identifying causality, we observe that discourse connectives and the particular discourse relation they evoke in context provide additio...

This paper is about causality, defined as a specific relation between eventualities on an event-state chain, called a ‘causal chain’. Though causality is a dynamic temporal relation, the expression of causality in discourse contrasts with temporal discourses, in which temporal order between eventualities is parallel to the sequential order of linguistic segments in discourse. Causal discourses ...

Causal message logging has many good properties such as nonblocking message logging and no rollback propagation. However, it requires a large amount of information to be piggybacked on each message, which may incur severe performance degradation. This paper presents an efficient causal logging algorithm based on the new message log structure, LogOn, which represents the causal interprocess depe...