Money and prices in the Polish economy. Seasonal cointegration approach
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Cubadda, Gianluca & Omtzigt, Pieter, 2005.
"Small-sample improvements in the statistical analysis of seasonally cointegrated systems,"
Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 333-348, April.
- Cubadda, Gianluca & Omtzigt, Pieter, 2003. "Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems," Economics & Statistics Discussion Papers esdp03012, University of Molise, Dept. EGSeI.
- Lars E. O. Svensson, 2000.
"Does the P* Model Provide Any Rationale for Monetary Targeting?,"
German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 69-81, February.
- Svensson, Lars E O, 1999. "Does the P* Model Provide Any Rationale for Monetary Targeting?," CEPR Discussion Papers 2198, C.E.P.R. Discussion Papers.
- Lars E.O. Svensson, 2000. "Does the P* Model Provide Any Rationale for Monetary Targeting?," NBER Working Papers 7178, National Bureau of Economic Research, Inc.
- Svensson, L.E.O., 1999. "Does the P* Model Provide any Rationale for Monetary Targeting," Papers 671, Stockholm - International Economic Studies.
- Svensson, Lars, 1999. "Does the P* Model provide Any Rationale for Monetary Targeting?," Seminar Papers 671, Stockholm University, Institute for International Economic Studies.
- Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990.
"Seasonal integration and cointegration,"
Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
- Hyllerberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal Integration And Cointegration," Papers 0-88-2, Pennsylvania State - Department of Economics.
- Hylleberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal, Integration And Cointegration," Papers 6-88-2, Pennsylvania State - Department of Economics.
- Philip Hans Franses & Robert M. Kunst, 1999.
"On the Role of Seasonal Intercepts in Seasonal Cointegration,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(3), pages 409-433, August.
- Franses, Philip Hans & Kunst, Robert M., 1995. "On the role of seasonal intercepts in seasonal cointegration," Economics Series 15, Institute for Advanced Studies.
- Franses, Ph.H.B.F. & Kunst, R.M., 1998. "On the role of seasonal intercepts in seasonal cointegration," Econometric Institute Research Papers EI 9820, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Ghysels,Eric & Osborn,Denise R., 2001.
"The Econometric Analysis of Seasonal Time Series,"
Cambridge Books,
Cambridge University Press, number 9780521565882, December.
- Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521562607, December.
- Greenslade, Jennifer V. & Hall, Stephen G. & Henry, S. G. Brian, 2002. "On the identification of cointegrated systems in small samples: a modelling strategy with an application to UK wages and prices," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1517-1537, August.
- Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
- Engle, Robert & Granger, Clive, 2015.
"Co-integration and error correction: Representation, estimation, and testing,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-276, March.
- MacKinnon, James G, 1996.
"Numerical Distribution Functions for Unit Root and Cointegration Tests,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
- James G. MacKinnon, 1995. "Numerical Distribution Functions For Unit Root And Cointegration Tests," Working Paper 918, Economics Department, Queen's University.
- Lee, Hahn Shik, 1992. "Maximum likelihood inference on cointegration and seasonal cointegration," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 1-47.
- Franses, Philip Hans & Kunst, Robert M, 1999.
"On the Role of Seasonal Intercepts in Seasonal Cointegration,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 61(3), pages 409-433, August.
- Franses, Philip Hans & Kunst, Robert M., 1995. "On the role of seasonal intercepts in seasonal cointegration," Economics Series 15, Institute for Advanced Studies.
- Franses, Ph.H.B.F. & Kunst, R.M., 1998. "On the role of seasonal intercepts in seasonal cointegration," Econometric Institute Research Papers EI 9820, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Barassi, Marco R. & Caporale, Guglielmo Maria & Hall, Stephen G., 2005. "Interest rate linkages: a Kalman filter approach to detecting structural change," Economic Modelling, Elsevier, vol. 22(2), pages 253-284, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Arratibel, Olga & Leiner-Killinger, Nadine & Kamps, Christophe, 2009. "Inflation forecasting in the new EU Member States," Working Paper Series 1015, European Central Bank.
- Chee Loong, Lee & Chun Hao, Laiu & Nur Hidayah, Ramli & Nur Sabrina, Mohd Palel, 2018. "Dynamic Interactions in Macroeconomic Activities," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 1651-1672.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kunst, Robert M., 2009. "A Nonparametric Test for Seasonal Unit Roots," Economics Series 233, Institute for Advanced Studies.
- Lof, Marten & Hans Franses, Philip, 2001.
"On forecasting cointegrated seasonal time series,"
International Journal of Forecasting, Elsevier, vol. 17(4), pages 607-621.
- Löf, Mårten & Franses, Philip Hans, 2000. "On Forecasting Cointegrated Seasonal Time Series," SSE/EFI Working Paper Series in Economics and Finance 350, Stockholm School of Economics.
- Löf, M. & Franses, Ph.H.B.F., 2000. "On forecasting cointegrated seasonal time series," Econometric Institute Research Papers EI 2000-04/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Philip Hans Franses & Robert M. Kunst, 1999.
"On the Role of Seasonal Intercepts in Seasonal Cointegration,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(3), pages 409-433, August.
- Franses, Philip Hans & Kunst, Robert M., 1995. "On the role of seasonal intercepts in seasonal cointegration," Economics Series 15, Institute for Advanced Studies.
- Franses, Ph.H.B.F. & Kunst, R.M., 1998. "On the role of seasonal intercepts in seasonal cointegration," Econometric Institute Research Papers EI 9820, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Gianluca Cubadda, 2001. "Common Features In Time Series With Both Deterministic And Stochastic Seasonality," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 201-216.
- Mårten Löf & Johan Lyhagen, 2003.
"On seasonal error correction when the processes include different numbers of unit roots,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 377-389.
- Lyhagen, Johan & Löf, Mårten, 2000. "On seasonal error correction when the processes include different numbers of unit roots," SSE/EFI Working Paper Series in Economics and Finance 0418, Stockholm School of Economics, revised 15 Mar 2001.
- Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
- John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
- Gianluca Cubadda, 2001.
"Complex Reduced Rank Models For Seasonally Cointegrated Time Series,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 497-511, September.
- Gianluca Cubadda, 2000. "Complex Reduced Rank Models for Seasonally Cointegrated Time Series," Econometric Society World Congress 2000 Contributed Papers 0092, Econometric Society.
- Robert M. Kunst & Michael Reutter, 2000. "Decisions on Seasonal Unit Roots," CESifo Working Paper Series 286, CESifo.
- Gil-Alana, L.A., 2008. "Testing of seasonal integration and cointegration with fractionally integrated techniques: An application to the Danish labour demand," Economic Modelling, Elsevier, vol. 25(2), pages 326-339, March.
- del Barrio Castro, Tomás & Osborn, Denise R., 2008.
"Cointegration For Periodically Integrated Processes,"
Econometric Theory, Cambridge University Press, vol. 24(1), pages 109-142, February.
- Tomas del Barrio Castro & Denise R Osborn, 2005. "Cointegration for Periodically Integrated Processes," The School of Economics Discussion Paper Series 0522, Economics, The University of Manchester.
- Martin Wagner, 2010.
"Cointegration analysis with state space models,"
AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(3), pages 273-305, September.
- Wagner, Martin, 2010. "Cointegration Analysis with State Space Models," Economics Series 248, Institute for Advanced Studies.
- Cubadda, Gianluca & Omtzigt, Pieter, 2005.
"Small-sample improvements in the statistical analysis of seasonally cointegrated systems,"
Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 333-348, April.
- Cubadda, Gianluca & Omtzigt, Pieter, 2003. "Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems," Economics & Statistics Discussion Papers esdp03012, University of Molise, Dept. EGSeI.
- Reimers, Hans-Eggert, 1997. "Forecasting of seasonal cointegrated processes," International Journal of Forecasting, Elsevier, vol. 13(3), pages 369-380, September.
- Kunst, Robert M., 1997. "Decision Bounds for Data-Admissible Seasonal Models," Economics Series 51, Institute for Advanced Studies.
- Darne, Olivier, 2004. "Seasonal cointegration for monthly data," Economics Letters, Elsevier, vol. 82(3), pages 349-356, March.
- Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
- Roberto Cellini & Tiziana Cuccia, 2013.
"Museum and monument attendance and tourism flow: a time series analysis approach,"
Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3473-3482, August.
- Cellini, Roberto & Cuccia, Tiziana, 2009. "Museum and monument attendance and tourism flow: A time series analysis approach," MPRA Paper 18908, University Library of Munich, Germany.
- Ansgar Belke & Robert Czudaj, 2010.
"Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques,"
Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
- Belke, Ansgar & Czudaj, Robert, 2010. "Is Euro Area Money Demand (Still) Stable? – Cointegrated VAR versus Single Equation Techniques," Ruhr Economic Papers 171, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable?: Cointegrated VAR versus Single Equation Techniques," Discussion Papers of DIW Berlin 982, DIW Berlin, German Institute for Economic Research.
- Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005.
"Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study,"
Trinity Economics Papers
tep20021, Trinity College Dublin, Department of Economics.
- Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
More about this item
Keywords
money; inflation; P-star; money demand; real money gap; seasonality; seasonal cointegration;JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wse:wpaper:20. 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: (Marcin Owczarczuk) The email address of this maintainer does not seem to be valid anymore. Please ask Marcin Owczarczuk to update the entry or send us the correct email address. General contact details of provider: http://edirc.repec.org/data/dxwawpl.html .
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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.