Warianty tytułu
Języki publikacji
Abstrakty
Importance of acknowledging data revisions - that is, corrections published after the initial announcement was made - has been repeatedly stressed in current economic literature. In this paper, I propose to test whether including information on data revisions infuences results of regression quantification procedures. Empirical analysis leads to the conclusion that end-of-sample data appears better suited for quantification of business tendency survey data on volume index of industrial production sold. (original abstract)
Słowa kluczowe
Rocznik
Numer
Strony
19
Opis fizyczny
Twórcy
autor
- Warsaw School of Economics, Poland
Bibliografia
- Abo-Zaid S. (2013) Revisions to US labor market data and the effects on the public's perception of the economy, "Economic Letters", http://dx.doi.org/10.1016 /j.econlet.2013.11.013.
- Arnold E. A. (2013) The role of revisions and disagreement in professional forecasts, National Bank of Poland Working Paper No. 153, Warsaw 2013.
- Campos R. G., Reggio I. (2013) Measurement error in imputation procedures, "Economic Letters", http://dx.doi.org/10.1016/j.econlet.2013.11.030.
- Croushore D. (2012) Forecast bias in two dimensions, Federal Reserve Bank of Philadelphia Working Paper No. 12-9.
- Franses P. H. (2013) Data revisions and periodic properties of macroeconomic data, "Economic Letters", 120:139-141.
- McCracken M. W., Clark T. E. (2007) Tests of equal predictive ability with real-time data, presentation at the 27th Annual International Symposium on Forecasting, New York.
- Nardo M. (2003) The quantification of qualitative survey data: A critical assessment, "Journal of Economic Surveys", 17:645-668.
- Pesaran M. H. (1989) The Limits to Rational Expectations, Basil Blackwell, Oxford.
- Syczewska E. M. (2013) Wpływ aktualizacji danych makroekonomicznych bazy AMECO na dokładność prognoz, Badania Statutowe nr KAE/S/07/13, KAE SGH, Warszawa.
- Tomczyk E. (2008) Racjonalność oczekiwań polskich przedsiębiorców: reguła czy wyjątek? Wnioski z testu koniunktury IRG SGH, in: E. Adamowicz (ed.) Koniunktura gospodarcza - 20 lat doświadczeń Instytutu Rozwoju Gospodarczego SGH, Prace i Materiały IRG SGH No 80, p. 375 - 388, Oficyna Wydawnicza SGH, Warszawa.
- Tomczyk E. (2013) End-of-sample vs. real time data: perspectives for analysis of expectations, w: K. Walczyk (red.) Expectations and Forecasting, Prace i Materiały IRG SGH No. 93, p. 45-69, Oficyna Wydawnicza SGH, Warszawa.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171312347