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15.3. In studying the purchase of durable goods Y(Y= 1 if purchased, Y= 0 if no purchase) as a function of several variables for a total of 762 house- holds, Janet A. Fisher* obtained the following LPM results:

 

Explanatory variable Coef?cient Standard error
Constant 0.1411

1957 disposable income, X1 0.0251 0.0118
(Disposable income = X1)2, X2 -0.0004 0.0004
Checking accounts, X3 -0.0051 0.0108
Savings accounts, X4 0.0013 0.0047
U.S. Savings Bonds, X5 -0.0079 0.0067
Housing status: rent, X6 -0.0469 0.0937
Housing status: own, X7 0.0136 0.0712
Monthly rent, X8 -0.7540 1.0983
Monthly mortgage payments, X9 -0.9809 0.5162
Personal noninstallment debt, X10 -0.0367 0.0326
Age, X11 0.0046 0.0084
Age squared, X12 -0.0001 0.0001
Marital status, X13 (1 = married) 0.1760 0.0501
Number of children, X14 0.0398 0.0358
(Number of children = X14)2, X15 -0.0036 0.0072
Purchase plans, X16 (1 = planned; 0 otherwise) 0.1760 0.0384

R2 = 0.1336

 

Notes:All ?nancial variables are in thousands of dollars.

Housing status: Rent (1 if rents; 0 otherwise) Housing status: Own (1 if owns; 0 otherwise)

Source:Janet A. Fisher, “An Analysis of Consumer Good Expenditure,” The Review of Economics and Statistics,vol. 64, no. 1, Table 1, 1962, p. 67.

 

a. Comment generally on the ?t of the equation.

b. How would you interpret the coef?cient of -0.0051 attached to checking account variable? How would you rationalize the negative sign for this variable?

c. What is the rationale behind introducing the age-squared and number of children-squared variables? Why is the sign negative in both cases?

d. Assuming values of zero for all but the income variable, ?nd out the conditional probability of a household whose income is $20,000 pur- chasing a durable good.

e. Estimate the conditional probability of owning durable good(s), given:

X1 = $15,000, X3 = $3000, X4 = $5000, X6 = 0, X7 = 1, X8 = $500, X9 =

$300, X10 = 0, X11 = 35, X13 = 1, X14 = 2, X16 = 0.

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