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Contributions to Consumer Demand and Econometrics: Essays in Honour of Henri Theil de Ronald Bewley

Contributions to Consumer Demand and Econometrics: Essays in Honour of Henri Theil

Autor Ronald Bewley
en Limba Engleză Paperback – 1992
Contains essays on consumer demand and econometrics written in honour of Professor Henri Theil. The essays report the results of current pioneering research work and cover a variety of topics including inequality tests, mixing forecasts and dynamic panel data models.
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Livrare economică 03-17 februarie 25

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Specificații

ISBN-13: 9781349122233
ISBN-10: 1349122238
Pagini: 271
Ilustrații: XIV, 271 p.
Dimensiuni: 140 x 216 x 17 mm
Greutate: 0.37 kg
Ediția:1st ed. 1992
Editura: Palgrave Macmillan UK
Colecția Palgrave Macmillan
Locul publicării:London, United Kingdom

Cuprins

Part 1 Consumer demand analysis: maids under additive preferences, Nisha Agrawal and Alan A.Powell; a test of normality in non-linear systems of consumer demand equations, William A.Barnett; the estimation of mixed demand systems, Anton P.Barten; accounting for non-stationarity in demand systems, Ronald Beweley and Graham Elliott; Henri Theil's contributions to demand analysis, Kenneth W.Clements, E.A.Selvanathan and Saroja Selvanathan; economic inequality and consumer demand - theory and applications, Tran Van Hoa. Part 2 Econometric methods: efficiency of alternative estimators in generalized seemingly unrelated regression models, Robert Bartels and Denzil G.Fiebig; one-sided and inequality tests for a pair of means, Arthur S.Goldberger; decomposition of least squares estimators and covariance matrices, Teun Kloeck; mixing forecasts in linear simultaneous equations under quadratic loss, Esfandiar Maasoumi; Edgeworth approximations to the distribution of the likelihood ratio and F statistics in the null and nonnull cases, A.L.Nagar and Charu Chandrika; the perils of underestimation of standard errors in a random-coefficients model and the bootstrap, Baldev Raj; simple estimators for dynamic panel data models with errors in variables, Tom Wansbeek and Arie Kapteyn.