An MBA student has proposed the following demand equation for good Y. QdY = a + b PY + c M
where: QdY = quantity demanded of good Y in millions of tons per year PY = Price of good Y in dollars per ton M = Average consumer income in thousands of dollars
What sign should this student expect a, b, and c to have? Explain.
The regression output from the computer is as follows:
Dependent Variable:
QdY R-Square F-ratio p-value on F
Observations: 90 .4 12.84 0.015
Variable Parameter Estimate Standard Error T-ratio P-Value
Intercept 60.00 5468.32 3.12 0.0082
PY -1.00 0.65 -1.27 0.2145
M 0.02 3.29 5 .12 0.0121
This economist is confortable using parameter estimates that are statistically significant at the 10 percent level or better.
Does PY have a statistically significant effect on the quantity demanded of good Y? Explain, using the appropriate p-value.
Does M have a statistically significant effect on the quantity demanded of good Y? Explain, using the appropriate p-value.
What fraction of the total variation in the quantity demanded of good Y remains unexplained? What can the student do to increase the explanatory power of his demand equation? What other variables might he add to his demand equation?
What is the expected quantity demanded of good y when PY = 200 and M = 10,000?
If demand decreases and supply increases simultaneously then for sure a. Prices will increase b. Prices will decrease c. Quantities will increase d. Quantities will decrease e. None of the above
Which of the following will increase the demand for chicken? a. An increase in the price of red meats b. A decrease in the price of red meats c. An increase in the price of chicken d. A decrease in the price of chicken e. None of the above