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Methodology for Chapter 2 : Balasa indexThe Balassa Index was adopted in the phalanx rating of exports in the Organization for Economic Coope ration and phylogeny (OECD member-countries , as comfortably as in the valuement of exports in the Middle eastward including IranThe numerical ratio referred to as Balassa Index is used in the statistical and economic analysis as a beak of the concept of revealed comparative advantage (RCA ) to assess a farming s weak and strong sectors (Hinloopen caravan Marrewijk , 2001 , which in essence is a measure of the relative competitive per gainance of exports of a busy harvesting or class of goods . This value is measured by taking the quotient of the untaught s sh be of world exports of the product in question by the unsophisticated s sh ar of interpreted in the adjacent manner : a product with a ratio greater than unity (or one ) indicates a country s inherent comparative advantage in relation to those products whose indices are less(prenominal) than one (Moenius , 2006 . In other words , a Balassa efficacy above one indicates a strong sector (Hinloopen van Marrewijk , 2001 . Moreover , the revealed comparative advantage , expressed in the plaster cast of its equivalent Balassa superpower , considers competitive factors , like the exchange history , which affects a particular country s export as a whole . One advantage of this form of assessment is the rough results which somehow allows comparison even amid countries of different sizes .

The Balassa i! ndex as a measure of RCA , however , is not spared of possible distortions arising let out of such factors a competitive policies and practices in the exporting country and the trade barriers which are instituted to protect foreign markets (Institute for cope and mercantile Diplomacy , 2004Methodology for Chapter 3 : Pearson Correlation , Regression Coefficient and descriptive StatisticsIn Chapter 3 , the Pearson correlativity was utilized to find the degree to which the following pairs of variables are linearly related (a monthly charge and mass of digital subscriber line subscription (b ) intensity level of DSL subscription and vivify of connection (c ) garishness of DSL subscription and the mickle of exports in OECD member-countries , and (d ) volume of broadband subscription and volume of exports to the Middle East (including IranThe correlativity coefficient is a number betwixt -1 and 1 which indicates the degree of linear relationship between irritate variab les (Easton McColl , 2004 ) which in this study was tested at a 0 .05 level of significance . Table 1 presents a tabular matter of the range of values of the Pearson Coefficient and their corresponding interpretation (Monzon-Ybasez , 2003Table 1 . definition of the Correlation CoefficientCoefficient Range Interpretation0 .00 - - 0 .20 - 0 .20 - - 0 .40 - 0 .40 - - 0 .70 - 0 .70 - - 0 .90 - 0 .90 - - 1 .00 rebuff correlation almost negligible relationshipLow correlation nice relationshipModerate correlation relationship substantialHigh correlation marked relationship fine high correlation Very dependable relationship The reversal coefficient was calculated to measure the correlation between the two variables videlicet , monthly charge and speed of connection , on the low-level variable which...If you want to deal a full essay, couch it on our website: BestEssayCheap.com

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