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

Mateusz Pipień and Sylwia Roszkowska

No 219, NBP Working Papers from Narodowy Bank Polski

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.

Keywords: Disaggregation of observed macroeconomic categories; classical linear regression model; uncertainty of estimation. (search for similar items in EconPapers)
JEL-codes: C13 C43 E01 (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-mac and nep-tra
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Persistent link: https://EconPapers.repec.org/RePEc:nbp:nbpmis:219

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