Quantification of expectations for general economic situation on the basis of industrial production index with data revisions

• Authors: Tomczyk Emilia
• Languages of publication: EN

Abstracts

EN

Use of appropriate data vintages and taking data revisions into account have only recently became a staple of applied econometric analysis. In this paper, the topic of data vintage in regression quantification procedures is readdressed for survey data on general economic situation. From empirical analysis it follows that quantification of survey data on general economic situation on the basis of industrial production index does not present a significant improvement over the use of response balance. Additionally, results obtained for real-time and end-of-sample data are very similar and do not suggest superiority of any of these two data vintages as far as quantification of survey data on general economic situation is concerned

Keywords

EN

end-of-sample (EOS) data; real time (RTV) data; data revisions; survey data; general economic situation; expectations; quantification; regression method

• Publisher: Szkoła Główna Handlowa w Warszawie
• Journal: Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
• Year: 2015
• Volume: 97: Economic cycles and uncertainty
• Pages: 95-106

Dates

published

2015

Contributors

author

Tomczyk Emilia

• Szkoła Główna Handlowa w Warszawie, Instytut Ekonometrii

References

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Identifiers

ISSN

0866-9503