On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until lately the VAR approach had received little attention in regional science and spatial economic analysis. This paper aims to contribute in this field by dealing with the issues of parameter identification and estimation and of structural impulse response analysis. In particular, there is a discussion of the adaptation of the recursive identification scheme (which represents one of the more common approaches in the time series VAR literature) to a space-time environment. Parameter estimation is subsequently based on the Full Information Maximum Likelihood (FIML) method, a standard approach in structural VAR analysis. As a convenient tool to summarize the information conveyed by regional dynamic multipliers with a specific emphasis on the scope of spatial spillover effects, a synthetic space-time impulse response function (STIR) is introduced, portraying average effects as a function of displacement in time and space. Asymptotic confidence bands for the STIR estimates are also derived from bootstrap estimates of the standard errors. Finally, to provide a basic illustration of the methodology, the paper presents an application of a simple bivariate fiscal model fitted to data for Italian NUTS 2 regions.
(This abstract was borrowed from another version of this item.)
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 12 (2010)
Issue (Month): 2 (June)
|Contact details of provider:|| Web page: http://www.springer.com|
|Order Information:||Web: http://www.springer.com/economics/regional+science/journal/10109/PS2|
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.:
- Valter Di Giacinto, 2006. "A Generalized Space-Time ARMA Model with an Application to Regional Unemployment Analysis in Italy," International Regional Science Review, , vol. 29(2), pages 159-198, April.
- Fabio Canova & Matteo Ciccarelli, 2002.
"Estimating multi-country VAR models,"
Economics Working Papers
920, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
- Fabio Canova & Matteo Ciccarelli, 2007. "Estimating Multi-country VAR models," Discussion Papers 7_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
- Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
- Canova, Fabio & Ciccarelli, Matteo, 2006. "Estimating multi-country VAR models," Working Paper Series 0603, European Central Bank.
- Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1989.
"The Revenues-Expenditures Nexus: Evidence from Local Government Data,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 415-429, May.
- Tom Doan, "undated". "RATS program to demonstrate IV estimation of VAR in panel data," Statistical Software Components RTZ00185, Boston College Department of Economics.
- Douglas Holtz-Eakin & Whitney K. Newey & Harvey S. Rosen, 1987. "The Revenues-Expenditures Nexus: Evidence from Local Government Data," NBER Working Papers 2180, National Bureau of Economic Research, Inc.
- Michael Beenstock & Daniel Felsenstein, 2007. "Spatial Vector Autoregressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(2), pages 167-196.
- Badi H. Baltagi & Georges Bresson & Alain Pirotte, 2006.
"Panel Unit Root Tests and Spatial Dependence,"
Center for Policy Research Working Papers
88, Center for Policy Research, Maxwell School, Syracuse University.
- Westerlund, Joakim, 2005.
"Testing for Error Correction in Panel Data,"
2005:11, Lund University, Department of Economics.
- Valter Di Giacinto, 2003.
"Differential Regional Effects of Monetary Policy: A Geographical SVAR Approach,"
International Regional Science Review,
, vol. 26(3), pages 313-341, July.
- Di Giacinto, Valter, 2002. "Differential regional effects of monetary policy: a geographical SVAR approach," ERSA conference papers ersa02p257, European Regional Science Association.
- Pesaran, M.H. & Weiner, S.M., 2001.
"Modelling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model,"
Cambridge Working Papers in Economics
0119, Faculty of Economics, University of Cambridge.
- Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
- M. Hashem Pesaran & Til Schuermann & Scott M. Weiner, 2002. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Center for Financial Institutions Working Papers 01-38, Wharton School Center for Financial Institutions, University of Pennsylvania.
- PESARAN M. Hashem & SCHUERMANN Til & WEINER Scott, "undated". "Modelling Regional Interdependencies using a Global Error-Correcting Macroeconometric Model," EcoMod2003 330700121, EcoMod.
- M. Hashem Pesaran & Til Schuermann & Scott M. Weiner, 2001. "Modelling regional interdependencies using a global error-correcting macroeconometric model," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B4-1, International Conferences on Panel Data.
- Lastrapes, William D., 2005. "Estimating and identifying vector autoregressions under diagonality and block exogeneity restrictions," Economics Letters, Elsevier, vol. 87(1), pages 75-81, April.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Benkwitz, Alexander & Lütkepohl, Helmut & Wolters, Jürgen, 1999.
"Comparison of Bootstrap Confidence Intervals for Impulse Responses of German Monetary Systems,"
CEPR Discussion Papers
2208, C.E.P.R. Discussion Papers.
- Benkwitz, Alexander & L tkepohl, Helmut & Wolters, J rgen, 2001. "Comparison Of Bootstrap Confidence Intervals For Impulse Responses Of German Monetary Systems," Macroeconomic Dynamics, Cambridge University Press, vol. 5(01), pages 81-100, February.
- Benkwitz, Alexander & Lütkepohl, Helmut & Wolters, Jürgen, 1999. "Comparison of bootstrap confidence intervals for impulse responses of German monetary systems," SFB 373 Discussion Papers 1999,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Gerald A. Carlino & Robert H. DeFina, 1993.
"Regional income dynamics,"
93-1, Federal Reserve Bank of Philadelphia.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 53-74, July.
- Tom Doan, "undated". "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Gerald A. Carlino & Robert H. DeFina, 1997. "The differential regional effects of monetary policy: evidence from the U.S. States," Working Papers 97-12, Federal Reserve Bank of Philadelphia, revised 01 Mar 1998.
- Gerald Carlino & Robert Defina, 1998. "The Differential Regional Effects Of Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 572-587, November.
- Zha, Tao, 1999. "Block recursion and structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 90(2), pages 291-316, June.
When requesting a correction, please mention this item's handle: RePEc:kap:jgeosy:v:12:y:2010:i:2:p:125-154. 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: (Sonal Shukla)or (Rebekah McClure)
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.