The Mahalanobis distance between pairs of multivariate observations is used as a measure of similarity between the observations. The theoretical distribution is derived, and the result is used for judging on the degree of isolation of an observation. In case of spatially dependent data where...

This paper proposes an innovative statistical matching method to combine the advantages of large national surveys and time diary data. We use data from two UK datasets that share stylised time-use information, crucial for the matching process. In particular, time-diary information of an...

In this paper we present a multivariate analysis of the Federal Reserve’s forecasts. First, we evaluate the Fed’s forecasts of the ten major expenditure categories of real GDP. Second, we present a new methodology for evaluating multivariate forecasts. Finally, we use the same methodology to...

This paper presents a new approach to evaluating multiple economic forecasts. In the past, evaluations have focused on the forecasts of individual variables. However, many macroeconomic variables are forecast at the same time and are used together to describe the state of the economy. It is,...

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This paper treats the problem of estimating individual Mahalanobis distances (MD) in cases when the dimension of the variable p is proportional to the sample size n. Asymptotic expected values are derived under the assumption p/n-c, 0=c1 for both the traditional and the leave-one-out estimators....

In this paper we present an evaluation of forecasts of a vector of variables of the German economy made by different institutions. Our method permits one to evaluate the forecasts for each year and then if one is interested to combine the years. We use our method to determine an overall winner...

This paper presents a recently developed approach for evaluating economic forecasts. Previously, univariate methods were used to evaluate the forecasts of individual variables. However, many macroeconomic variables are forecast at the same time to describe the state of the economy. It is,...