..National Account- Descriptive Statistics, Applied Statistics

A country''s national accounts are assumed to look as follows:

GDP 1180
VAT and taxes 140
Commodity subsidies 60
Raw material and consumables 530

1. Calculate GVA
2. Calculate the output value (PV)
Posted Date: 3/26/2013 6:22:58 AM | Location : Denmark







Related Discussions:- ..National Account- Descriptive Statistics, Assignment Help, Ask Question on ..National Account- Descriptive Statistics, Get Answer, Expert's Help, ..National Account- Descriptive Statistics Discussions

Write discussion on ..National Account- Descriptive Statistics
Your posts are moderated
Related Questions
The Null Hypothesis - H0:  The random errors will be normally distributed The Alternative Hypothesis - H1:  The random errors are not normally distributed Reject H0: when P-v

To determine the proportion of people in your town who are smokers, it has been decided to poll people at one of the following local spots: (a) the pool hall; (b) the bowling alley

Write down the symbols and unit for the following: mass, molar mass, molar and molarity Write down the relationship between mass and molar mass and show that the units match.

The Harmonic Mean is based on the reciprocals of numbers averaged. It is defined as the reciprocal of the arithmetic mean of the reciprocal of the given individual observations. Th

real time applications on graphical representation of o-give curves

Correlation Analysis Correlation Analysis is performed to measure the degree of association between two variables. The measure is called coefficient of correlation. The coeffic

what is the the Latin Square design? What is its application in research? please explain this term with very simple but with detailed explanation for effective understanding. I hav

Agency revenues. An economic consultant was retained by a large employment agency in a metropolitan area to develop a regression model for predicting monthly agency revenues ( y ).

Theories of Business forecasting

Henry Kaiser suggested a rule for selecting a number of components m less than the number needed for perfect reconstruction: set m equal to the number of eigenvalues greater than I