This paper presents a simulation procedure that uses GIS technology for integrating accessibility to services and working places in order to improve modeling of houses values. Most real estate models use simple functions of distance to CBD in order to evaluate access to services and centrality....

This note gives a few practical guidelines for cointegration analysis. The focus is on testing the cointegration rank in a VAR model and on how an intercept and a trend should be incorporated in the model. Only two cases appear relevant for most economic data.

In this paper the issue of detecting and handling outliers in the GARCH(1,1) model is addressed. Simulation evidence shows that neglecting even a single outlier has a dramatic on parameter estimates. To detect and correct for outliers, we propose an adaptation of the iterative in Chen and Liu...

This paper is concerned with forecasting univariate seasonal time series data using periodic autoregressive models. We show how one should account for unit roots and deterministic terms when generating out-of-sample forecasts. We illustrate the models for various quarterly UK consumption series.

In practical applications of micro simulation models very little is usually known about the properties of the simulated values. This paper argues that we need to apply the same rigourous standards for inference in micro simulation work as in scientific worl generally. If not, then micro...

This paper compares the performance of simple inflation targeting (IT) and price-level path targeting (PLPT) rules to stabilize the macroeconomy, in response to a series of shocks, similar to those seen in Canada and the United States over the 1983 to 2004 period. The analysis is conducted in a...

This paper deals with the estimation and testing of conditional duration models by looking at the density and baseline hazard functions. More precisely, we focus on the distance between the aprametric density (or hazard rate) function implied by the duration process and its non-parametric estimate.

In this paper, we study several tests for the equality of two unknown distributions. Two are based on empirical distribution functions, three others on nonparametric probability density estimates, and the last ones on differences between sample moments.

While stochastic dominance has been employed in various forms, it has been (since 1969-1970) developed and extensively employed in the area of economics, finance and operations research. In this study the first, second and third order stochastic dominance rules are discussed for ranking...

In this paper, we introduce a new approach for volatility modeling in discrete and continuous time.