<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-27T12:26:20Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/49003" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/49003</identifier><datestamp>2023-11-14T07:17:43Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_17</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Chang, Chia-Lin</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Franses, Philip Hans</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>McAleer, Michael</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2023-06-20T09:13:10Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2023-06-20T09:13:10Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2011-04</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/49003</mods:identifier>
   <mods:identifier type="relatedurl">https://www.ucm.es/icae</mods:identifier>
   <mods:abstract>Macroeconomic forecasts are often based on the interaction between econometric models and experts. A forecast that is based only on an econometric model is replicable and may be unbiased, whereas a forecast that is not based only on an econometric model, but also incorporates expert intuition, is non-replicable and is typically biased. In this paper we propose a methodology to analyze the qualities of individual and means of non-replicable forecasts. One part of the methodology seeks to retrieve a replicable component from the non-replicable forecasts, and compares this component against the actual data. A second part modifies the estimation routine due to the assumption that the difference between a replicable and a non-replicable forecast involves measurement error. An empirical example to forecast economic fundamentals for Taiwan shows the relevance of the methodological approach using both individuals and mean forecasts.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">https://creativecommons.org/licenses/by-nc/3.0/es/</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:accessCondition type="useAndReproduction">Atribución-NoComercial 3.0 España</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Evaluating Individual and Mean Non-Replicable Forecasts</mods:title>
   </mods:titleInfo>
   <mods:genre>technical report</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>