This paper introduces an easy to follow method for continuous time model estimation. It serves as an introduction on how to convert a state space model from continuous time to discrete time, how to decompose a hybrid stochastic model into a trend model plus a noise model, how to estimate the...

Although national accounts data provide the most comprehensive overview of economic activity, preliminary estimates are subject to much revision before they are regarded as reliable indicators. Oddly enough, the market acts on the preliminary estimates as though they were final and complete....

In this paper we build a hierarchically structured continuous-time model of Keynesian monetary growth. The model is sufficiently rich with respect to markets, sectors and agents and consistent with respect to budget constraints to capture sufficient broad details of actual macroeconomies and so...

In this study we present an alterntive approach to test whether the real estate and equity markets are cointegrated. We develop a nonlinear test which allows for a stochastic trend term as opposed to a deterministic drift term. This is a reasonable approach, because if the real estate market is...

In this paper we consider the 18D case model of applied disequilibrium growth whose extensive and intensive form dynamics we derived in earliier work. Here we analyze in particular the basic partial feedback mechanisms whose interaction drives the dynamics of the overall model. We relate these...

In this paper we reconsider extensions and modifications of earlier work on a disequilibrium model of AS-AD growth. Our dynamic model exhibits more or less sluggishly adjusting prices and quantities, Keynesian demand rationing and fluctuating capacity utilization for both labor and capital....

In this paper we consider the third-moment structure of a class of nonlinear time series models. Empirically it is often found that the marginal distribution of financial time series is skewed. Therefore it is of importance to know what properties a model should possess if it is to accommodate...

In this paper we propose a new multivariate GARCH model with time-varying conditional correlation structure. The approach adopted here is based on the decomposition of the covariances into correlations and standard deviations. The time-varying conditional correlations change smoothly between two...

This paper contributes to the development of recent literature on the explanation power and calibration issue of heterogeneous asset pricing models by presenting a simple stochastic market fraction asset pricing model of two types of traders (fundamentalists and trend followers) under a market...