We develop a new semiparametric Bayes instrumental variables estimation method. employ the form of regression function reduced-form equation and disturbances are modelled nonparametrically to achieve better preditive power endogenous variables, whereas we use parametric formulation in structural equation, which is interest inference. Our simulation studies show that under small sample size prop...

Efforts to control medical care costs depend critically on how individuals respond to prices. I estimate the price elasticity of expenditure on medical care using a censored quantile instrumental variable (CQIV) estimator. CQIV allows estimates to vary across the conditional expenditure distribution, relaxes traditional censored model assumptions, and addresses endogeneity with an instrumental ...

Using instrumental variable methods to estimate the parameters of dynamic errors-in-variables systems with a periodic input signal is the focus in this report. How to choose suitable instrumental variable vectors is the key point. Four variants are proposed; all of them can generate consistent estimates. An analysis shows that the best accuracy is achieved by using a specific overdetermined ins...