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  • Frequent revisions to GDP and its components cause policymakers to face considerable uncertainty about the current state of the economy. In this paper, we provide stylized facts about the magnitude of revisions to the Czech national accounts. Using data over the 2003-2012 period, we find that the revisions are rather large. Revisions to real GDP growth are on average 1.4 for the annualized quarterly growth rate and 0.7 percentage points for the annual growth rate. Revisions to other variables are even larger: the average size of the revisions ranges from 1 to 12 percentage points for annualized quarterly growth rates and from 0.5 to 4 percentage points for annual growth rates. We investigate whether the revisions could have been predicted using the information available at the time of announcement. We find evidence for in-sample predictability for most of the variables, suggesting that the first releases of these variables are not efficient predictors of the actual values. In a real-time out-of-sample exercise, however, we find that the revisions to real GDP, gross fixed capital formation, and government consumption are not predictable. Only revisions to the GDP deflator can be predicted with substantial gains relative to zero-revisions forecasts.
  • Frequent revisions to GDP and its components cause policymakers to face considerable uncertainty about the current state of the economy. In this paper, we provide stylized facts about the magnitude of revisions to the Czech national accounts. Using data over the 2003-2012 period, we find that the revisions are rather large. Revisions to real GDP growth are on average 1.4 for the annualized quarterly growth rate and 0.7 percentage points for the annual growth rate. Revisions to other variables are even larger: the average size of the revisions ranges from 1 to 12 percentage points for annualized quarterly growth rates and from 0.5 to 4 percentage points for annual growth rates. We investigate whether the revisions could have been predicted using the information available at the time of announcement. We find evidence for in-sample predictability for most of the variables, suggesting that the first releases of these variables are not efficient predictors of the actual values. In a real-time out-of-sample exercise, however, we find that the revisions to real GDP, gross fixed capital formation, and government consumption are not predictable. Only revisions to the GDP deflator can be predicted with substantial gains relative to zero-revisions forecasts. (en)
Title
  • Revisions to Czech National Accounts: Properties and Predictability
  • Revisions to Czech National Accounts: Properties and Predictability (en)
skos:prefLabel
  • Revisions to Czech National Accounts: Properties and Predictability
  • Revisions to Czech National Accounts: Properties and Predictability (en)
skos:notation
  • RIV/00216208:11230/13:10156075!RIV14-GA0-11230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP402/12/1993), S
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 102823
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11230/13:10156075
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • vintage data; revisions; national accounts (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [B7EF0BDC5815]
http://linked.open...i/riv/nazevZdroje
  • Finance a úvěr
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 63
http://linked.open...iv/tvurceVysledku
  • Rusnák, Marek
http://linked.open...ain/vavai/riv/wos
  • 000321815500002
issn
  • 0015-1920
number of pages
http://localhost/t...ganizacniJednotka
  • 11230
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