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Real‐Time Data, Revisions and the Predictive Ability of DSGE Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F25%3A00140951" target="_blank" >RIV/00216224:14560/25:00140951 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/obes.12677" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/obes.12677</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/obes.12677" target="_blank" >10.1111/obes.12677</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real‐Time Data, Revisions and the Predictive Ability of DSGE Models

  • Original language description

    We evaluate the impact of real-time macroeconomic data and data revisions on the forecasting performance of DSGE models in the US and the euro area. We identify significant differences in data revisions between the two world regions: Negative revisions (due to overestimation in early data releases) are prevalent in the US, while the euro area data tends to be dominated by positive revisions. These biases are most significant in consumption growth, output growth, and hours worked. Parameter estimates in small-sized DSGE models are not strongly affected by the use of real-time data, while larger models exhibit substantial differences depending on the data used, especially during large economic downturns. Revisions significantly affect the predictive accuracy of the DSGE model for output growth in the US and for inflation and interest rates in the euro area. Our findings highlight the central role of data revisions as a determinant of predictive accuracy in macroeconomic models and thus of the quality of such specifications as an instrument to inform evidence-based policy-making.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Oxford Bulletin of Economics and Statistics

  • ISSN

    0305-9049

  • e-ISSN

    1468-0084

  • Volume of the periodical

    87

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    22

  • Pages from-to

    1059-1080

  • UT code for WoS article

    001459843700001

  • EID of the result in the Scopus database

    2-s2.0-105001132791