In this paper we study time-varying coefficient models with time trend function and serially correlated errors to characterize nonlinear, nonstationary and trending phenomenon in time series. Compared with the Nadaraya-Watson method, the local linear approach is developed to estimate the time...

This paper gives a selective review on the recent developments of nonparametric methods in continuous-time finance, particularly in the areas of nonparametric estimation of diffusion processes, nonparametric testing of parametric diffusion models, and nonparametric pricing of derivatives. For...

In this article, we propose a new class of semiparametric instrumental variable models with partially varying coefficients, in which the structural function has a partially linear form and the impact of endogenous structural variables can vary over different levels of some exogenous variables....

Modeling the joint tails of multiple nancial time series has important implications for risk management. Classical models for dependence often encounter a lack of t in the joint tails, calling for additional exibility. In this paper we introduce a new nonparametric time-varying mixture copula...

This paper develops a new framework and statistical tools to analyze stock returns using high-frequency data. We consider a continuous-time multifactor model via a continuous-time multivariate regression model incorporating realistic empirical features, such as persistent stochastic volatilities...

We document the nature of structural changes in employment to understand jobless growth in Irish Manufacturing in the aftermath of EEC/EU membership, 1972-2003. By 1972, forty years of protectionism and fifteen years of export promotion induced the coexistence of large exporting plants with...

Over the last several years, highly accurate methods of sex selection before conception have been developed. Given that strong preferences for sex variety in off- spring have been documented for the U.S., we ask what the demographic conse- quences of sex-selection technology could be. Lacking...

We argue that the interaction between mobility and wealth provides a view that rationalizes low geographic migration rates, despite migration costs being lower than currently thought. We reach this conclusion by developing and solving a quantitative dynamic spatial equilibrium model with...

This paper investigates the differential impact of monetary policy on homeownership and housing returns among Black, Hispanic and White households. Using data on 13 million repeat sales from 1993 to 2020, we construct and analyze race-specific entries and exits of homeownership and housing...

This paper develops a nonparametric method to estimate a conditional quantile function for a panel data model with an additive individual fixed effects. The proposed method is easy to implement, it does not require numerical optimization and automatically ensures quantile monotonicity by...