1,721,412 research outputs found

    Pooling-Based Data Interpolation and Backdating

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    Pooling forecasts obtained from different procedures typically reduces the mean square forecast error and more generally improve the quality of the forecast. In this paper, we evaluate whether pooling-interpolated or-backdated time series obtained from different procedures can also improve the quality of the generated data. Both simulation results and empirical analyses with macroeconomic time series indicate that pooling plays a positive and important role in this context also. Copyright 2007 The Author Journal compilation 2007 Blackwell Publishing Ltd.

    Introduzione all'Econometria Applicata

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    Forecast pooling for short time series of macroeconomic variables

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    In this paper we compare the relative performance of alternative pooling methods, using a very large dataset of about 500 macroeconomic variables for the countries in the European Monetary Union

    Applied econometrics : an introduction

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    Aggregazione di processi I(2)

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