This paper is devoted to the empirical analysis of the dynamic behaviour of the FF/DM parity during the September 1987-July 1993 period. By explicitly allowing the strength of adjustment to vary with the extent of equilibrium error, we successively perform parametric, semiparametric and...

In this paper we investigate empirical specification of smooth transition error correction models (STECMs). These models can be used to describe linear long-run relationships between nonstationary variables where adjustment towards equilibrium is nonlinear and can depend on exogenous variables....

In this paper we investigate empirical specification of smooth transition error correction models (STECMs). These models can be used to describe linear long-run relationships between nonstationary variables where adjustment towards equilibrium is nonlinear and can depend on exogenous variables....

This paper analyzes a model of investment with fixed investment costs and capital market imperfections. In this model finance influences the level of capital firms hold, as well as the frequency at which they invest. In consequence investment reacts nonlinearly with respect to shocks to...

Literature has documented tremendous changes in classical regression analysis techniques since 1980s. The drawbacks of simple and multiple parametric regression analyses on model specifications and the non-robust assumption of error terms followed by the introduction of a series of diagnostic...

We develop a method for estimating the functional surface of a regression coefficient that varies over a complex spatial domain with irregular boundaries, peninsulas and interior holes. The method is motivated by, and applied to, data on housing markets, where the central object of inference is...

This article considers the effects of age, period, and cohort in social studies and chronic disease epidemiology through age–period–cohort (APC) analysis. These factors are linearly dependent; thus, the multiple classification model, a regression model that takes these factors as...

Among nonparametric smoothers, there is a well-known correspondence between kernel and Fourier series methods, pivoted by the Fourier transform of the kernel. This suggests a similar relationship between kernel and spline estimators. A known special case is the result of Silverman (1984) on the...

This article presents a novel shape-invariant modeling approach to quasi-periodic data. We propose a dynamic semiparametric method that estimates the common cycle shape in a nonparametric way and the individual phase and amplitude variability in a parametric way. An efficient algorithm to...