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On the performance of the Chow-Lin procedure for quarterly interpolation of annual data: Some Monte-Carlo analysis
Authors:Email author" target="_blank">Jose?Manuel?Pavía?MirallesEmail author  Luis-Eduardo?Vila?Lladosa  Roberto?Escuder?Vallés
Institution:(1) Departamento Economía Aplicada, Universidad de Valencia, Av. Los Naranjos, s/n, 46022 Valencia, Spain
Abstract:Most of the countries of the OECD offer quarterly estimates of their national growth or of their Gross National Product. Official Statistical Agencies in western countries have to deal with the problem of estimating Quarterly National Accounts series congruently with Annual National Accounts. In Spain, the Instituto Nacional de Estadística uses the Chow-Lin disaggregation method, which is based on information provided by a group of high-frequency related variables, to estimate the quarterly components of National Accounts from annual components. In this paper, we analyse the relative quality of the estimates obtained through the Chow-Lin procedure, under different sets of hypotheses.JEL Classification: C15, C43, M40We are grateful to Maria Amparo Ripoll for her assistance. The authors also wish to thank three anonymous referees and an editor for their constructive suggestions and comments. This research was partially made during the stay of the first author at the Universidad Carlos III de Madrid. It has been partially supported by the research project DGCYT PB98-1460.
Keywords:Quarterly accounts  simulation  Monte-Carlo  disaggregation  time series
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