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Szacunki kwartalnego PKB w polskich województwach

Author

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  • Mateusz Pipień
  • Sylwia Roszkowska

Abstract

Celem artykułu jest scharakteryzowanie zastosowania modelu regresji liniowej w problemie czasowej i przestrzennej dezagregacji PKB polskiej gospodarki. W opisywanym podejściu przedmiotem estymacji są parametry strukturalne regresji liniowej, w której roczne PKB województw lub jego tempo zmian stanowią zmienną objaśnianą, zaś roczne PKB krajowe lub jego tempo zmian odgrywa rolę zmiennej objaśniającej. Proponuje się, aby kwartalne PKB i jego zmiany szacować dla poszczególnych województw jako funkcje parametrów regresji. Proponowane alternatywne podejścia poddano ocenie ze względu na poziom niepewności statystycznej związanej z estymacją oraz ze względu na poziom przestrzennego zróżnicowania oszacowanych wartości. W artykule przedstawiono wyniki szacunków PKB i jego zmian w województwach w okresie 1995–2012, otrzymane na podstawie zaproponowanej dwustopniowej procedury. Uzyskane wyniki szacunków poziomów PKB charakteryzują się dużą precyzją oszacowań, ale regionalne zróżnicowanie stóp wzrostu PKB otrzymanych na podstawie tego podejścia jest niewielkie. Z kolei wykorzystanie w regresji wartości tempa zmian PKB powodowało większe zróżnicowanie stóp wzrostu PKB według województw, ale błędy szacunków były większe.

Suggested Citation

  • Mateusz Pipień & Sylwia Roszkowska, 2015. "Szacunki kwartalnego PKB w polskich województwach," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 145-169.
  • Handle: RePEc:sgh:gosnar:y:2015:i:5:p:145-169
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    References listed on IDEAS

    as
    1. anonymous, 1995. "Does the bouncing ball lead to economic growth?," Regional Update, Federal Reserve Bank of Atlanta, issue Jul, pages 1-2,4-6.
    2. Robert J. Barro, 2013. "Inflation and Economic Growth," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 121-144, May.
    3. Santos Silva, J. M. C. & Cardoso, F. N., 2001. "The Chow-Lin method using dynamic models," Economic Modelling, Elsevier, vol. 18(2), pages 269-280, April.
    4. Massimiliano Marcellino, 2007. "Pooling‐Based Data Interpolation and Backdating," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(1), pages 53-71, January.
    5. Bartłomiej Rokicki, 2013. "Ewolucja regionalnego zróżnicowania płac realnych w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 53-67.
    6. Salazar, Eduardo & Smith, Richard & Weale, Martin & Wright, Stephen, 1997. "A Monthly Indicator of GDP," National Institute Economic Review, National Institute of Economic and Social Research, vol. 161, pages 84-89, July.
    7. Di Fonzo, Tommaso, 1990. "The Estimation of M Disaggregate Time Series When Contemporaneous and Temporal Aggregates Are Known," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 178-182, February.
    8. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    9. J. H. C. Lisman & J. Sandee, 1964. "Derivation of Quarterly Figures from Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 13(2), pages 87-90, June.
    10. Xavier Sala-I-Martin, 1997. "Transfers, Social Safety Nets, and Economic Growth," IMF Staff Papers, Palgrave Macmillan, vol. 44(1), pages 81-102, March.
    11. Angelini, Elena & Henry, Jerome & Marcellino, Massimiliano, 2006. "Interpolation and backdating with a large information set," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2693-2724, December.
    12. V. Guerrero & J. Martínez, 1995. "A recursive ARIMA-based procedure for disaggregating a time series variable using concurrent data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 4(2), pages 359-376, December.
    13. Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-476, August.
    14. John K. Ashton & Andros Gregoriou, 2014. "The Influence of Banking Centralization on Depositors: Regional Heterogeneities in the Transmission of Monetary Policy," Regional Studies, Taylor & Francis Journals, vol. 48(9), pages 1467-1482, September.
    15. Daniel O. Stram & William W. S. Wei, 1986. "A Methodological Note On The Disaggregation Of Time Series Totals," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(4), pages 293-302, July.
    16. Baoline Chen, 2007. "An Empirical Comparison of Methods for Temporal Distribution and Interpolation at the National Accounts," BEA Papers 0077, Bureau of Economic Analysis.
    17. Eduardo Salazar & Richard Smith & Martin Weale & Stephen Wright, 1997. "A Monthly Indicator of GDP," National Institute Economic Review, National Institute of Economic and Social Research, vol. 161(1), pages 84-89, July.
    18. J. C. G. Boot & W. Feibes & J. H. C. Lisman, 1967. "Further Methods of Derivation of Quarterly Figures from Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 16(1), pages 65-75, March.
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    Cited by:

    1. Piotr Krajewski, 2017. "Regionalne zróżnicowanie oddziaływania wydatków rządowych na zatrudnienie – wnioski z analizy SVAR," Bank i Kredyt, Narodowy Bank Polski, vol. 48(1), pages 73-96.
    2. Gajewski Pawe³, 2018. "Demand and Supply Shock Symmetry across Polish Voievodships," Lodz Economics Working Papers 5/2018, University of Lodz, Faculty of Economics and Sociology.

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    More about this item

    Keywords

    dezagregacja obserwowanych kategorii makroekonomicznych; klasyczny model regresji liniowej; niepewność estymacji; regionalny PKB;
    All these keywords.

    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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