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ln ( q t ) = α 0 + α 1 ln ( p c t ) + α 2 ln ( y t ) + α 3 ln ( A t ) + α 4 D 64 t MathType@MTEF@5@5@+=feaagyart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLnhiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=xfr=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@61C9@

and

ln ( A t ) = β 0 + β 1 ln ( q t ) + β 2 ln ( p a t ) + β 3 m t + β 4 m t 2 . MathType@MTEF@5@5@+=feaagyart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLnhiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=xfr=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@5E7C@
Cigarette industry data, 1955-1967.
Year Cigarettes Sold per Person Over Age 15 Retail Price of Cigarettes Real Advertising per Person Over Age 15 Advertising Price Index Degree of Monopoly Disposable Personal Income in 1958 dollars
1955 3163.090 93.9693 0.96100 95.4775 18.595 1659
1956 3230.517 94.7049 1.09969 94.3800 19.207 1673
1957 3313.033 94.2535 1.22180 96.2125 20.165 1683
1958 3479.063 94.7712 1.40471 97.8300 21.736 1666
1959 3584.930 98.1779 1.45816 98.2800 22.042 1735
1960 3676.912 100.0000 1.37863 100.0000 22.04 1749
1961 3743.354 99.8677 1.31871 102.0400 22.465 1756
1962 3733.504 99.6761 1.35467 102.9725 22.226 1814
1963 3775.886 101.3630 1.51345 103.9525 22.848 1867
1964 3648.211 102.3110 1.73665 103.4775 23.168 1948
1965 3710.075 105.7510 1.59761 103.7225 23.598 2047
1966 3689.386 108.0450 1.71062 104.2200 25.085 2127
1967 3652.016 109.2490 1.71444 104.6125 26.310 2164

Answer the following six questions:

a) Which variables in the model are exogenous and which are endogenous?

b) Check and see if equations (18) and (19) are underidentified, exactly identified, or overidentified.

c) Estimate equations (21) and (22) using ordinary least squares.

d) Estimate equations (21) and (22) using two-stage least squares. Present the results in a table that for comparison reasons includes the results from the OLS estimation. Be sure to include the R 2 and the Durbin-Watson statistic.

e) Which side of the advertising-sales controversy do your results appear to support?

f) How well-specified does your model appear to be? Why?

Exercise 2. Demand and supply of commercial loans. We are interested in estimating the demand for commercial loans by business firms and the supply of commercial loans by banks. We have available in Table 6 monthly data from the U. S. commercial loan market for the period from January, 1979 through December, 1984 and available in the MS Excel file Exercise 2.xls . The model and data for this problem first appeared in Maddala, G. S. (1988) Introductory Econometrics (New York: Macmillan Publishing Company): 331-317. Define:

Q t = total commercial loans (billions of dollars)

R t = average prime rate charged by banks

RS t = 3-month Treasury bill rate (represents an alternative rate of return for banks)

RD t = Aaa corporate bond rate (represents the price of alternative financing to firms)

X t = industrial production index (represents firms’ expectation about future economic activity)

y t = total bank deposits (billions of dollars) (represents a scale variable).

The demand and supply equations to be estimated, respectively, are as follows:

Q t = β 0 + β 1 R t + β 2 R D t + β 3 X t + μ t MathType@MTEF@5@5@+=feaagyart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLnhiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=xfr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyuamaaBaaaleaacaWG0baabeaakiabg2da9iabek7aInaaBaaaleaacaaIWaaabeaakiabgUcaRiabek7aInaaBaaaleaacaaIXaaabeaakiaadkfadaWgaaWcbaGaamiDaaqabaGccqGHRaWkcqaHYoGydaWgaaWcbaGaaGOmaaqabaGccaWGsbGaamiramaaBaaaleaacaWG0baabeaakiabgUcaRiabek7aInaaBaaaleaacaaIZaaabeaakiaadIfadaWgaaWcbaGaamiDaaqabaGccqGHRaWkcqaH8oqBdaWgaaWcbaGaamiDaaqabaaaaa@508C@

and

Q t = α 0 + α 1 R t + α 2 R S t + α 3 y t + ε t . MathType@MTEF@5@5@+=feaagyart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLnhiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=xfr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyuamaaBaaaleaacaWG0baabeaakiabg2da9iabeg7aHnaaBaaaleaacaaIWaaabeaakiabgUcaRiabeg7aHnaaBaaaleaacaaIXaaabeaakiaadkfadaWgaaWcbaGaamiDaaqabaGccqGHRaWkcqaHXoqydaWgaaWcbaGaaGOmaaqabaGccaWGsbGaam4uamaaBaaaleaacaWG0baabeaakiabgUcaRiabeg7aHnaaBaaaleaacaaIZaaabeaakiaadMhadaWgaaWcbaGaamiDaaqabaGccqGHRaWkcqaH1oqzdaWgaaWcbaGaamiDaaqabaaaaa@50A5@

Questions

a) What are the endogenous and exogenous variables in this model?

b) Solve for the two “reduced form” equations of this model. Estimate these two equations using the data in Table 6.

c) Check the “order” condition for identification of each equation of the model.

d) Estimate equations (23) and (24) using ordinary least squares using the data in Table 6.

e) Estimate equations (23) and (24) using two-stage least squares. Report the results of the estimations for part 4 and 5 in a single table. Be sure to include the t-ratios, R 2 ’s, and Durbin-Watson statistics for each of the equations estimated.

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Source:  OpenStax, Econometrics for honors students. OpenStax CNX. Jul 20, 2010 Download for free at http://cnx.org/content/col11208/1.2
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