still more appealing in many situations in terms of consistency and efficiency in estimation and computation burden. The … a simple class of latent variable models, the structural measurement error models, to first tackle the problem. We … structural measurement error models analytically to gain insight into the sensitivity of inference to latent-model assumptions …

error is ignored, and how the methods perform accounting for it. It was found that the bias induced by measurement error …) because the values of the parameters are of interest. The yearly counts are subject to measurement error, which inevitably … assumptions are imposed, readily available estimated measurement error variances are not utilized, or the measurement error is …

on the type of bias that the interest group contract incorporates. In particular, when the interest group contract … incorporates an inflationary bias the outcome depends on the principals' relative concern of the incentive schemes' costs. When the … interest group contract incorporates an expansionary bias, however, it always dominates the government contract. A corollary of …

, and, therefore, a substantial overstatement of inflation resulting in a serious downward bias in growth rate estimates for …Measurement of quality changes has proven to be an especially difficult aspect of calculating unbiased rates of … inflation. We propose a new methodology of capturing quality improvements based on consumer focus groups and apply this …

choice of viewpoint from which to assess outcomes, time horizon, choice of normative system, measurement properties of the …

subsectors, at least not given the used identification strategy. This could be due to the fact that this theory regards the …

standard and international trade. The estimation results allow us to formulate some interesting policy conclusions. …

, technical change, and capital deepening. Kernel density estimation methods are used to investigate the evolution of the entire …