Question

In: Economics

Assume that both Paraguay and Poland are unskilled-labour abundant countries. Using he correlation coefficient between Openness...

Assume that both Paraguay and Poland are unskilled-labour abundant countries. Using he correlation coefficient between Openness and the GINI Index for each country, explain in up to 200 words whether your data agree or disagree with the Stolper-Samuelson theorem.

The correlation coefficient between Openness and the GINI Index

Poland = -0.599 Paraguay = -0.275

Solutions

Expert Solution


Related Solutions

Explain in 200 words the relationship between Openness and economic development by calculating the correlation coefficient...
Explain in 200 words the relationship between Openness and economic development by calculating the correlation coefficient between GDP per capita (proxy for economic development) and Openness for Paraguay and Poland, respectively. Country Name Country Code Series Name Series Code 2001 [YR2001] 2002 [YR2002] 2003 [YR2003] 2004 [YR2004] 2005 [YR2005] 2006 [YR2006] 2007 [YR2007] 2008 [YR2008] 2009 [YR2009] 2010 [YR2010] 2011 [YR2011] 2012 [YR2012] 2013 [YR2013] 2014 [YR2014] Paraguay PRY Exports of goods and services (current US$) NE.EXP.GNFS.CD 3459319570 3402825624 3625989129...
The correlation coefficient between GDP per capita and openness from 2003 to 2015 for Italy is...
The correlation coefficient between GDP per capita and openness from 2003 to 2015 for Italy is 0.534. The correlation coefficient between GDP per capita and openness from 2003 to 2015 for Sweden is 0.5927. Using the data above, explain in up to 200 words the relationship between openness and economic development for each of the two countries
Assume that both Italy and Sweden are skilled-labour abundant. 1. First, define Stolper-Samuelson theorem with figure....
Assume that both Italy and Sweden are skilled-labour abundant. 1. First, define Stolper-Samuelson theorem with figure. 2. Then, check whether your data findings are in line with the Stolper-Samuelson theorem. DATA have been attached. Correlation coefficient between GDP per capita and openness Correlation Coefficient between Openness and the GINI Index Italy 0.408 0.2594 Sweden 0.632 0.4998
Using the data from 15 automobile accidents, the correlation coefficient between the combined speeds of the...
Using the data from 15 automobile accidents, the correlation coefficient between the combined speeds of the cars (x) in an accident and the amount of damage done (y) is 0.7831. The regression equation for the two variables is y = 801.518 + 162.845x. a. Is this a significant correlation? b. If the answer to last part is YES, then predict the amount of damage done in an accident in which the combined speeds of the car involved was 100 mph.
Part (a)Using the Experience and Income xlsx file, determine the sample correlation coefficient between the annual...
Part (a)Using the Experience and Income xlsx file, determine the sample correlation coefficient between the annual salary and the job market experience variables. Part (b)Interpret the sample correlation coefficient you found in part (a) Part (c)If we regressed income on experience, what share of the variation in income could be explained by the variation in experience? Explain how you found your answer. Individuals' Annual Salaries and Job Market Experience Annual Salary Years of Job Market Experience 83601 18 29736 47...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT