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Accuracy and reliability of Spanish regional accounts (CRE-95)

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  • Verónica Cañal-Fernández

Abstract

Are estimates accurate? Are these data reliable? Can we evaluate whether successive revisions of the first estimate bring additional information, or whether they are due to the correction of earlier inaccuracies of bias, which does not add any useful information to economic analysts? The response is that a statistical technique, known in economic literature as news versus noise analysis can be used to answer these questions. These concepts were first introduced in ground breaking articles by Mankiw et al. ( 1984 ) on revisions to money stock and Mankiw and Shapiro ( 1986 ) on revisions to Gross National Product in the United States. This method claims that the proximity of the first estimate to the definitive one can be a clue as to its quality. Many studies investigate the magnitude and nature of errors contained throughout the National Account System estimates; however, economic literature offers no option for judging accuracy and reliability in the main Regional Account aggregates, and therefore, this methodology is adopted to assess the accuracy and reliability of the revision process of the Gross Value Added (GVA) growth rates at basic prices, 1995 Base, within the Spanish Regional Accounts (CRE-95). For that purpose, this study examines five comprehensive revisions analyses for a range of eighteen Autonomous Communities (NUTS-2) during 1999. Main conclusions are: the quality of the estimates tends to increase over time; and the process can be explained better as reflecting new information than as correcting measurement errors so that the National Statistics Institute’s procedure can be deemed to be suitable. Copyright Springer-Verlag 2012

Suggested Citation

  • Verónica Cañal-Fernández, 2012. "Accuracy and reliability of Spanish regional accounts (CRE-95)," Empirical Economics, Springer, vol. 43(3), pages 1299-1320, December.
    • Handle: RePEc:spr:empeco:v:43:y:2012:i:3:p:1299-1320
    DOI: 10.1007/s00181-011-0513-9
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    References listed on IDEAS

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    Cited by:

    1. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    2. Concha Artola & María Gil & Javier J. Pérez & Alberto Urtasun & Alejandro Fiorito & Diego Vila, 2018. "Monitoring the Spanish economy from a regional perspective: main elements of analysis," Occasional Papers 1809, Banco de España.
    3. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.

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    More about this item

    Keywords

    Spanish regional accounts; Gross value added; Accuracy; Reliability; Revisions; Growth rates; C1; C82; C22; C53; C10; E00; E01;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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