This paper studies functional coefficient regression models with nonstationary time series data, allowing also for stationary covariates. A local linear fitting scheme is developed to estimate the coefficient functions. The asymptotic distributions of the estimators are obtained, showing...

We suggest using a class of semiparametric dynamic panel data models to capture individual variations in panel data. The model assumes linearity in some continu ous/discrete variables which can be exogenous/endogenous, and allows for nonlinearity in other weakly exogenous variables. We propose a...

In this paper we survey some recent developments of nonparametric econometrics in the following areas: (i) Nonparametric estimation of regression models with mixed discrete and continuous data; (ii) Nonparametric models with nonstationary data; (iii) Nonparametric models with instrumental...

Cai, Li, and Park (<italic>Journal of Econometrics</italic>, 2009) and Xiao (<italic>Journal of Econometrics</italic>, 2009) developed asymptotic theories for estimators of semiparametric varying coefficient models when regressors are integrated processes but the smooth coefficients are functionals of stationary processes. Using...

We suggest using a class of semiparametric dynamic panel data models to capture individual variations in panel data. The model assumes linearity in some continuous/discrete variables that can be exogenous/endogenous and allows for nonlinearity in other weakly exogenous variables. We propose a...

We reexamine the empirical relevance of habit formation preferences with micro-data on households' portfolio choices. We first derive the analytical solution to the risky asset share in a theoretical model with both habits and time-varying labor income. Our analytical results indicate that (1)...

In this article, we explore whether relative risk aversion varies with wealth. First, we derive theoretical predictions on how risky shares respond to wealth uctuations in a portfolio choice model with both external habits and time-varying labor income. Our analytical results indicate that: (1)...

Varying-coefficient linear models arise from multivariate nonparametric regression, nonlinear time series modelling and forecasting, functional data analysis, longitudinal data analysis, and others. It has been a common practice to assume that the vary-coefficients are functions of a given...