We analyze the identification and estimation of parameters β satisfying the incomplete linear moment restrictions E(zT (xβ−y)) = E(zT u(z)) where z is a set of instruments and u(z) an unknown bounded scalar function. We first provide empirically relevant examples of such a set-up. Second, we...

Let, y, a binary outcome, v a continuous explanatory variable and x some other explanatory variables. We study inference on the parameter b of the semiparametric binary regression model y=1(xb+v+e0). We show that the set-up introduced by Lewbel (2000) that is, an uncorrelated-error restriction...

<p>We analyze the identification and estimation of parameters β satisfying the incomplete linear moment restrictions E(z ^T(x β−y)) = E(z^Tu(z)) where z is a set of instruments and u(z) an unknown bounded scalar function. We first provide empirically relevant examples of such a set-up. Second, we...</p>

We analyze the identification and estimation of parameters β satisfying the incomplete linear moment restrictions E(z T(x β-y)) = E(zTu(z)) where z is a set of instruments and u(z) an unknown bounded scalar function. We first provide empirically relevant examples of such a set-up. Second, we...