The name is absent



come and household size in affecting household
beef expenditures may vary substantially among
different types of beef. Judging from the partial
R2s, household size was found to be a more sig-
nificant factor than income in determining ex-
penditures for ground beef and beef roasts, but
the opposite was true on expenditure for beef
steaks.

Although the analysis has been limited to beef
expenditures, the same procedure and principles
are applicable to other commodities. It would be
desirable to extend the investigation with a na-
tional data base and expand the model to incor-
porate not only the size of household, but also
the household composition and other related so-
cioeconomic variables.

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Econ. Statist. 58(1976):218-22.

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Buse, A. and L. Lim. “Cubic Splines as a Special Case OfRestricted Least Squares.” J. Amer. Statist.

Assoc. n(WlT)-.6A-(>Z.

Buse, R. C. and L. E. Salathe. “Adult Equivalent Scales: An Alternative Approach.” Amer. J. Agr.

Econ. 60(1978):460-68.

Cooley, T. and E. C. Prescott. “An Adaptive Regression Model.” Int. Econ. Rev. 14(1973):364-71.

Forsyth, F. G. “The Relationship Between Family Size and Family Expenditure.” J. Royal Statist.
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Gallant, A. R. and W. A. Fuller. “Fitting Segmented Polynomial Regression Models Whose Join Points
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Hassan, Z. A. and S. R. Johnson. Family Expenditure Patterns in Canada. Agriculture Canada, Ot-
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Huang, C. L. and R. Raunikar. “Estimating the Effect of Household Age-Sex Composition on Food
Expenditures.” 5.
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Maddala, G. S. Econometrics. New York: McGraw-Hill Book Co., 1977.

McGee, V. and W. T. Carleton. “Piecewise Regression.” J. Amer. Statist. Assoc. 65(1970):1109-24.

Poirier, D. J. “Piecewise Regression Using Cubic Splines.” J. Amer. Statist. Assoc. 68(1973):515-24.

Prais, S. J. and H. S. Houthakker. The Analysis of Family Budgets. Cambridge: Cambridge University
Press, 1955.

Price, D. W. “Unit Equivalent Scales for Specific Food Commodities.” Amer. J. Agr. Econ.
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Rogers, D. S. and H. L. Green. “Changes in Consumer Food Expenditure Patterns.” J. Mkt.
42(1978):14-19.

Smith, P. L. “Splines as a Useful and Convenient Statistical Tool.” Amer. Statistician 33(1979):57-62.

Suits, D. B., A. Mason, and L. Chan. “Spline Functions Fitted by Standard Regression Methods.”
Rev. Econ. Statist. 60(1978):132-39.

Wold, S. “Spline Functions in Data Analysis.” Technometrics 16(1974):1-11.

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