Endogeneity in quantile regression models: a control function approach

This paper considers a linear triangular simultaneous equations model with conditional quantile restrictions. The paper adjusts for endogeneity by adopting a control function approach and presents a simple two-step estimator that exploits the partially linear structure of the model. The first step consists of estimation of the residuals of the reduced-form equation for the endogenous explanatory variable. The second step is series estimation of the primary equation with the reduced-form residual included nonparametrically as an additional explanatory variable. This paper imposes no functional form restrictions on the stochastic relationship between the reduced-form residual and the disturbance term in the primary equation conditional on observable explanatory variables. The paper presents regularity conditions for consistency and asymptotic normality of the two-step estimator. In addition, the paper provides some discussions on related estimation methods in the literature and on possible extensions and limitations of the estimation approach. Finally, the numerical performance and usefulness of the estimator are illustrated by the results of Monte Carlo experiments and two empirical examples, demand for fish and returns to schooling

Efficient semiparametric estimation of a partially linear quantile regression model

This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear. The paper develops a simple estimator of the parametric component of the conditional quantile. The semiparametric efficiency bound for the parametric component is derived, and two types of efficient estimators are considered. Asymptotic properties of the proposed estimators are established under regularity conditions. Some Monte Carlo experiments indicate that the proposed estimators perform well in small samples

Estimating panel data duration models with censored data

This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty) with completely known error distributions. This class of duration models includes a panel data proportional hazards model with fixed effects. The proposed estimator is shown to be n1=2-consistent and asymptotically normal with dependent right censoring. The paper provides some discussions on extending the estimator to the cases of longer panels and multiple states. Some Monte Carlo studies are carried out to illustrate the finite- sample performance of the new estimator

Identification of a competing risks model with unknown transformations of latent failure times

This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional hazards, and accelerated failure time models. It is shown that covariate effects on latent failure times, cause-specific link functions, and the joint survivor function of the disturbance terms can be identified without relying on modelling the dependence between latent failure times parametrically nor using an exclusion restriction among covariates. As a result, the paper provides an identification result on the joint survivor function of the latent failure times conditional on covariates

Reduction of porosity in aluminum weldments

Method is described for elimination of porosity of aluminum weldments by replacing polyvinyl chloride tubing (used to connect welder to gas source, and is permeable to moisture at high humidity) with copper tubing. In addition liquid argon gas is used at weld stations

On the nonexistence of Smith-Toda complexes

Let p be a prime. The Smith-Toda complex V(k) is a finite spectrum whose BP-homology is isomorphic to BP_*/(p,v_1,...,v_k). For example, V(-1) is the sphere spectrum and V(0) the mod p Moore spectrum. In this paper we show that if p > 5, then V((p+3)/2) does not exist and V((p+1)/2), if it exists, is not a ring spectrum. The proof uses the new homotopy fixed point spectral sequences of Hopkins and Miller.Comment: 10 pages, AMSLate

An Assessment of the ICC Statute

The large number of signature States together with the current speed of ratification from various regions of the world seems to indicate the general acceptance of the treaty; many of the problems first identified have since been clarified and resolved. It seems reasonable to expect the Rome Statute to come into operation as early as next summer. While it is necessary to ensure effective criminal investigation and prosecution to counter serious human rights violations, we need also to develop additional ways and means for addressing the root causes that led to violations and impunity. Justice is important but justice alone cannot bring peace. We need both justice and peace. Criminal prosecution through courts and tribunals will not and cannot suit all situations, bring justice to all, or, still less, end all conflicts. Accountability and criminal responsibility are important and necessary. But the tribunals cannot deal adequately when massive cases are involved. Massive trials require large resources and are time-consuming, particularly when there are large numbers of defendants. In recent years, various measures of accountability have been employed for managing situations involving past serious violations of human rights. These measures include acknowledging and publicizing responsibility through truth commissions, dismissing or suspending officials connected with the abuses of the previous regimes, seizure of property and assets of the perpetrators, blocking financial sources of rogue organizations, and compensation for victims and their families. All these are intended to demonstrate that a sense of sanctions has been applied to misdeeds, though such sanctions may not be sufficient in all cases. The parties concerned must work out by themselves the best solution to suit their need

Hydrogel-Based Colorimetric Assay for Multiplexed MicroRNA Detection in a Microfluidic Device

Although microRNA (miRNA) expression levels provide important information regarding disease states owing to their unique dysregulation patterns in tissues, translation of miRNA diagnostics into point-of-care (POC) settings has been limited by practical challenges. Her; we developed a hydrogel-based microfluidic platform for colorimetric profiling of miRNAs, without the use of complex external equipment for fluidics and imaging. For sensitive and reliable measurement without the risk of sequence bias, we employed a gold deposition-based signal amplification scheme and dark-field imaging, and seamlessly integrated a previously developed miRNA assay scheme into this platform. The assay demonstrated a limit of detection of 260 fM, along with multiplexing of small panels of miRNAs in healthy and cancer samples. We anticipate this versatile platform to facilitate a broad range of POC profiling of miRNAs in cancer-associated dysregulation with high-confidence by exploiting the unique features of hydrogel substrate in an on-chip format and colorimetric analysis