01180naa a2200217 a 450000100080000000500110000800800410001910000190006024500860007926000090016552006090017465000170078365000130080065000120081365000160082565300130084165300110085465300190086570000190088477300590090317954971999-04-30       1985    bl ---       0--  u    #d1 aEPSTEIN, L. G.  aNon-parametric hypoyhesis testing procedures and applications to demand analysis.  c1985  aThis paper proposes a test of the hypothesis that a (possibly vector-valued) regression function g lies in a particular compact family of functions, where is not necessarily a finite-dimensional parametric family. Under the assumption of a known covariance matrix of the errors, the test is shown to be consistent for a broad range of alternatives and an upper bound on the significance level is established. It is shown how the test may be used to test the utility maximization hypothesis and homotheticity, and the paper indicates how to apply the test a broad range of other non-parametric hypotheses.  aeconometrics  aAnálise  aDemanda  aEconometria  aAnalysis  aDemand  aNon-parametric1 aYATCHEW, A. J.  tJournal of Econometricsgv.30, n.1/2, p.149-169, 1985.