The local linear trend and global linear trend models embody extreme assumptions about trends. According to the local linear trend formulation the level and growth rate are allowed to rapidly adapt to changes in the data path. On the other hand, the Glaobal linear trend model makes no allowance...

We present a local linear estimator with variable bandwidth for multivariate nonparametric regression. We prove its consistency and asymptotic normality in the interior of the observed data and obtain its rates of convergence. This result is used to obtain practical direct plug-in bandwidth...

The stochastic volatility model enjoys great success in modeling the time-varying volatility of asset returns. There are several specifications for volatility including the most popular one which allows logarithmic volatility to follow an autoregressive Gaussian process, known as log-normal...

This paper proposes a class of stochastic volatility (SV) models which offers an alternative to the one introduced in Andersen (1994). The class encompasses all standard SV models that have appeared in the literature, including the well known lognormal model, and allows us to empirically test...

This paper compares and generalizes some testing procedures for structural change in the context of cointegrated regression models.

This paper examines the relationship between the female labour force participation rate and total fertility rate for the G7 countries over the period 1960 to 2004 using panel unit root, panel cointegration, Granger causality and long-run structural estimation. The paper's main findings are that...

While national and international statistical agencies spend much resource on calculating purchasing power parity (PPP) between countries, relatively little attention is given to PPP calculations within countries. Yet, for large and heterogeneous countries, such as the US and India, intra country...

We reconsider the replication problem for contingent claims in a complete market under a general framework. Since there are various limitations in the Black-Scholes pricing formula, we propose a new method to obtain an explicit self-financing trading strategy expression for replications of...

In this paper, we study parametric nonlinear regression under the Harris recurrent Markov chain framework. We first consider the nonlinear least squares estimators of the parameters in the homoskedastic case, and establish asymptotic theory for the proposed estimators. Our results show that the...

This paper extends the recent literature on spatial price differences within a country to provide evidence on the Australian experience during the past two decades. While much of the existing evidence on spatial price variation within a country relates to large heterogeneous countries such as...