IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Szacunki kwartalnego PKB w polskich województwach

Listed author(s):
  • Mateusz Pipień
  • Sylwia Roszkowska

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://gospodarkanarodowa.sgh.waw.pl/p/gospodarka_narodowa_2015_05_06.pdf
File Function: Full text
Download Restriction: no

Article provided by Warsaw School of Economics in its journal Gospodarka Narodowa.

Volume (Year): (2015)
Issue (Month): 5 ()
Pages: 145-169

as
in new window

Handle: RePEc:sgh:gosnar:y:2015:i:5:p:145-169
Contact details of provider: Postal:
Al. Niepodleglosci 162, 02-554 Warszawa

Phone: + (48)(22) 49 12 51
Fax: + (48)(22) 49 53 12
Web page: http://gospodarkanarodowa.sgh.waw.pl/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  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, 01.
  5. 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.
  6. Xavier Sala-I-Martin, 1997. "Transfers, Social Safety Nets, and Economic Growth," IMF Staff Papers, Palgrave Macmillan, vol. 44(1), pages 81-102, March.
  7. 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.
  8. 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.
  9. Baoline Chen, 2007. "An Empirical Comparison of Methods for Temporal Distribution and Interpolation at the National Accounts," BEA Papers 0077, Bureau of Economic Analysis.
  10. 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.
  11. 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.
  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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:sgh:gosnar:y:2015:i:5:p:145-169. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dariusz Nojszewski)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.