scholarly journals An Examination of Inverse Demand Models: An Application to the U. S. Crawfish Industry

2008 ◽  
Vol 37 (2) ◽  
pp. 243-256 ◽  
Author(s):  
Youngjae Lee ◽  
P. Lynn Kennedy

This study analyzes quantity impacts of imported crawfish tailmeat on Louisiana crawfish tailmeat prices, and demonstrates the statistical validity and proper interpretation of cross substitution within inverse demand systems. Among five inverse demand systems, the Differential Inverse National Bureau of Research (DINBR) model shows no violation of econometric assumptions for the data analyzed. By using Allais coefficients proposed by Barten and Bettendorf (1989), we show substitutability among the five fish species.

1993 ◽  
Vol 25 (1) ◽  
pp. 217-227 ◽  
Author(s):  
Kuo S. Huang

AbstractA set of ordinary and inverse demand systems for U.S. quarterly meat consumption is estimated for use to measure the effects of U.S. meat trade on consumers' welfare. The approach is useful to incorporate all direct- and cross-commodity effects into price forecasting and the Hicksian compensating variation measurement.


1995 ◽  
Vol 20 (3) ◽  
pp. 519-530 ◽  
Author(s):  
Mark G. Brown ◽  
Jonq-Ying Lee ◽  
James L. Seale

2001 ◽  
Vol 83 (1) ◽  
pp. 230-245 ◽  
Author(s):  
Robert H. Beach ◽  
Matthew T. Holt

2001 ◽  
Vol 91 (3) ◽  
pp. 611-618 ◽  
Author(s):  
Arthur Lewbel

Revealed preference theory assumes that each consumer has demands that are rational, meaning that they arise from the maximization of his or her own utility function. In contrast, econometric or statistical demand models assume that each consumer's demands equal a rational systematic component derived from a common utility function, plus an individual-specific, additive error term. This paper reconciles these differences, by providing necessary and sufficient conditions for rationality of statistical demand models given individual consumer rationality. (JEL D11, D12, C30, C43)


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