<u>Answer:</u> The rate of interest is 7.18 %
<u>Explanation:</u>
To calculate the rate of interest, we use the equation used for the interest compounded monthly follows:
A = Amount after time period 'T' = $100,000
P = Principal amount = $50,000
R = rate of interest = ?
n = Number of times interest applied per time period = 1 (annually)
T = time period = 10 years
Putting values in above equation, we get:
Calculating the rate of interest in percentage:
Hence, the rate of interest is 7.18 %
Answer:
the answer is (d) euro. might be wrong tho i dont know
sry...
Answer:
Binding
$100
200
200
Shortage
Explanation:
A price ceiling is when the government or an agency of the government sets the maximum price for a good.
A price ceiling is binding when the price ceiling is below the equilibrium price.
To find the equilibrium price, equate qs to qd because at equilibrium, quantity supplied is equal to quantity demanded.
2P = 300 - P
3P = 300
P = 100
Equilibrium price is $100.
$100 > $90. Therefore, price ceiling is binding.
To find quantity supplied, plug in the value of P into the equation for quantity supplied
QS = 2(100) = 200
To find quantity demanded, plug in the value of P into the equation for quantity demanded
QD = 300 - 100 = 200
when price is below equilibrium price, quantity demanded increases while the quantity supplied decreases. This leads to a shortage.
I hope my answer helps you
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
