Sentence examples for moment condition from inspiring English sources

This paper examines the problem of identification and inference on a conditional moment condition model with missing data, with special focus on the case when the conditioning covariates are missing.

This moment condition implies that the value of the τth conditional quantile of ln(w) − XβSP is zero, an equality that is the main equation for identification.

We verify these conditions under primitive conditions for moment condition models.

We provide general results under high-level conditions that can be applied to moment condition, likelihood, and minimum distance models, among others.

In this article we consider partitioning and nearest neighbor estimates and show that by replacing the boundedness assumption on X by a proper moment condition the same rate of convergence can be shown as for bounded data.

In this article we consider the kernel estimate and show that by replacing the boundedness assumption on X by a proper moment condition the same (optimal) rate of convergence can be shown as for bounded data.

Clamped boundary conditions provide the necessary moment conditions.

We stack up the data and construct the best linear and quadratic moment conditions.

For the other moderately soft potentials, we assume additionally some moment conditions on the initial data.

An alternative approach is to use separate moment conditions for each period, which gives rise to many moments estimation.

Convergence towards Gamma and Beta distributions under moment conditions is also discussed.