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Quarterly estimates of regional GDP in Poland – application of statistical inference of functions of parameters

Author

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  • Mateusz Pipień
  • Sylwia Roszkowska

Abstract

The article presents the application of a linear regression model to the problem of space-time disaggregation of the GDP of the Polish economy. In the approach described, the structural parameters of linear regression are subject to estimation, where the annual GDP of voivodships (regions of Poland at NUTS 2 level) or the rate of its changes represent the explained variable, while the annual domestic GDP or the rate of its changes is the explanatory variable. The authors propose to estimate the quarterly GDP and its changes in individual regions as functions of regression parameters. The study presents the results of GDP estimates and its changes in individual regions. Alternative approaches were subject to evaluation in terms of the level of statistical uncertainty associated with the estimation and in terms of the level of spatial diversity of the estimated values.

Suggested Citation

  • Mateusz Pipień & Sylwia Roszkowska, 2015. "Quarterly estimates of regional GDP in Poland – application of statistical inference of functions of parameters," NBP Working Papers 219, Narodowy Bank Polski.
    • Handle: RePEc:nbp:nbpmis:219
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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