Answer:
a. Classical theory
b. Monetarist school.
Explanation:
Classical theory assumes that the fall in aggregate demand will create temporary affect on employment and ;later in the long run economy will adjust itself and will be at full employment automatically. Keynesian theory believes that demand is the factor which drives the economy. If the economy is at recession then efforts should be made to increase demand which will turn the economy growth upright.
Answer:
Total salary expense in week 1 = $440 x 150 = $66,000
Total deductions due to taxes = $121.66 x 150 = $18,249
Actual direct deposit of payroll in week is $66,000 minus $18,249 = $47,751
Explanation:
Number of employees = 150
Hourly wage = $11
Weekly hours worked = 40 hours
Weekly wage = 40 x 11 = $440 per employee
Taxes deduction:
Federal - 15% of gross earnings = $66
State - 5% of gross earnings = $22
FICA - 7.65% of first #128,400 = $33.66
Total deductions = $121.66
Net Earnings = $318.34
Answer:
forward rates are determined by investors' expectations of future interest rates.
Explanation:
The expectations theory of the term structure of interest rates states that forward rates are determined by investors' expectations of future interest rates. It suggests that the predicted holding period rate of return of a bond of "x" number of time is equal to the short-term interest rate irrespective of its maturity.
The Expectations theory gives us the opportunity to predict the future outcome of short-term interest rates based on current long-term interest rates.
It would be "Meat to cook for dinner at home" that a consumer expect to find in a retail store since retail stores market to individuals and families, not large-scale projects.
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
