The demand for a commodity is given by Q = β0 + β1P + u, whereQ denotes quantity, P denotes price, and u denotes factors other thanprice that determine demand. Supply for the commodity is given byQ = ϒ0 + ϒ1P + v, where v denotes factors other than price that determinesupply. Suppose that u and v both have a mean of zero, have variancesσ2u and σ2v, and are mutually uncorrelated.a. Solve the two simultaneous equations to show how Q and P dependon u and v.b. Derive the means of P and Q.c. Derive the variance of P, the variance of Q, and the covariancebetween Q and P.d. A random sample of observations of (Qi, Pi) is collected, and Qi isregressed on Pi. (That is, Qi is the regressand, and Pi is the regressor.)Suppose that the sample is very large. i. Use your answers to (b) and (c) to derive values of the regressioncoefficients. ii. A researcher uses the slope of this regression as an estimate of theslope of the demand function (β1). Is the estimated slope too largeor too small?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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The demand for a commodity is given by Q = β0 + β1P + u, where
Q denotes quantity, P denotes price, and u denotes factors other than
price that determine demand. Supply for the commodity is given by
Q = ϒ0 + ϒ1P + v, where v denotes factors other than price that determine
supply. Suppose that u and v both have a mean of zero, have variances
σ2u and σ2v, and are mutually uncorrelated.
a. Solve the two simultaneous equations to show how Q and P depend
on u and v.
b. Derive the means of P and Q.
c. Derive the variance of P, the variance of Q, and the covariance
between Q and P.
d. A random sample of observations of (Qi, Pi) is collected, and Qi is
regressed on Pi. (That is, Qi is the regressand, and Pi is the regressor.)
Suppose that the sample is very large.

i. Use your answers to (b) and (c) to derive values of the regression
coefficients. 
ii. A researcher uses the slope of this regression as an estimate of the
slope of the demand function (β1). Is the estimated slope too large
or too small? 

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