Tests of Independence in Separable Econometric Models: Theory and Application
A common stochastic restriction in econometric models separable in the latent variables is the assumption of stochastic independence between the unobserved and observed exogenous variables. Both simple and composite tests of this assumption are derived from properties of independence empirical processes and the consistency of these tests is established. As an application, we stimulate estimation of a random quasilinear utility function, where we apply our tests of independence.
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- Donald Brown & Caterina Calsamiglia, 2007.
"The Nonparametric Approach to Applied Welfare Analysis,"
Springer;Society for the Advancement of Economic Theory (SAET), vol. 31(1), pages 183-188, April.
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