Title of article :
Information theoretic measures of the income distribution in food demand
Author/Authors :
LaFrance، نويسنده , , J.T. and Beatty، نويسنده , , T.K.M. and Pope، نويسنده , , R.D. and Agnew، نويسنده , , G.K.، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2002
Pages :
23
From page :
235
To page :
257
Abstract :
A new method to nest, estimate and test the rank and functional form of the income terms in an incomplete system of demand equations is developed. Information theory is employed to infer the U.S. income distribution from data on quintile and top five percentile income ranges and intra-quintile and top five percentile mean incomes. Maximum entropy income distributions are combined with data on the U.S. demand for 21 food items to estimate U.S. food demand over the period 1919–1995, excluding 1942–1946.
Keywords :
Incomplete demand systems , Functional form , Information theory , Maximum Entropy , Rank of demand models
Journal title :
Journal of Econometrics
Serial Year :
2002
Journal title :
Journal of Econometrics
Record number :
1558135
Link To Document :
بازگشت