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...

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...

<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>

In this paper, we develop moment-based tests for parametric discrete distributions. Momentbased test techniques are attractive as they provide easy-to-implement test statistics. We propose a general transformation that makes the moments of interest insensitive to the parameter estimation...