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SERIEs

, Volume 3, Issue 4, pp 423–456 | Cite as

Cycles inside cycles: Spanish regional aggregation

  • Maria Dolores GadeaEmail author
  • Ana Gómez-Loscos
  • Antonio Montañés
Open Access
Original Article

Abstract

This paper sets out a comprehensive framework to identify regional business cycles within Spain and analyses their stylised features and the degree of synchronisation both within them and between them and the Spanish economy. We show that the regional cycles are quite heterogeneous although they display some degree of synchronisation. We also propose a dynamic factor model to cluster the regional comovements. We find that the Spanish business cycle is not the same as those of the 17 regions, but is the sum of the different regional behaviours. Clusters with a high industrial weight, per capita income and human capital and a low unemployment rate are also more synchronized. The implications derived from our results are useful both for policy makers and analysts.

Keywords

Business cycle Synchronisation measures Dynamic factor models Regional policy 

JEL Classification

C22 C32 E32 R11 

References

  1. Airov J (1963) The construction of interregional business cycle models. J Reg Sci 5(1): 1–20CrossRefGoogle Scholar
  2. Artis M, Kontolemis ZG, Osborne DR (1997) Business Cycles for G7 and European Countries. J Bus 70: 249–279CrossRefGoogle Scholar
  3. Artis M, Krolzig HM, Toro J (2004) The European business cycle. Oxf Econ Pap 56(1): 1–44CrossRefGoogle Scholar
  4. Bai J, Ng S (2002) Determining the number of factors in approximate factor models. Econometrica 70: 191–221CrossRefGoogle Scholar
  5. Bai J, Ng S (2007) Determining the number of primitive shocks in factor models. J Bus Econ Stat 25: 52–60CrossRefGoogle Scholar
  6. Baxter M, King RG (1999) Measuring business cycles: approximate band-pass filters for economic time series. Rev Econ Stat 81: 575–593CrossRefGoogle Scholar
  7. Bengoechea P, Camacho M, Pérez Quirós G (2006) A useful tool to forecast the Euro-area business cycle phases. Int J Forecast 22: 735–749CrossRefGoogle Scholar
  8. Bordo MD, Helbling T (2003) Have national business cycles become more synchronized? NBER working paper no. W10130Google Scholar
  9. Borts GH (1960) Regional cycles of manufacturing employment in the United States, 1914–1953. J Am Stat Assoc 55(289): 151–211Google Scholar
  10. Bry G, Boschan C (1971) Cyclical analysis of time series: selected procedures and computer programs. NBER, New YorkGoogle Scholar
  11. Burns AF, Mitchell WC (1946) Measuring business cycles. NBER, New YorkGoogle Scholar
  12. Camacho M, Pérez-Quirós G, Saiz L (2006) Are European business cycles close enough to be just one?. J Econ Dyn Control 30: 1687–1706CrossRefGoogle Scholar
  13. Camacho M, Pérez-Quirós G, Saiz L (2008) Do European business cycles look like one?. J Econ Dyn Control 32: 2165–2190CrossRefGoogle Scholar
  14. Camacho M, Pérez-Quirós G, Poncela P (2010) Green shoots in the Euro area. A real time measure. Banco de España working paper, 1026Google Scholar
  15. Cancelo JR (2004) El ciclo del empleo en España. Un análisis regional. Revista económica de Castilla La Mancha 4: 107–138Google Scholar
  16. Candelon B, Piplack J, Straetmans S (2009) Multivariate business cycle synchronization in small samples. Oxf Bull Econ Stat 71(5): 715–737CrossRefGoogle Scholar
  17. Carlino G, DeFina R (1995) Regional income dynamics. J Urban Econ 37: 88–106CrossRefGoogle Scholar
  18. Carlino G, DeFina R (1998) The differential regional effects of monetary policy: evidence from the U.S. States. Federal Reserve Bank of Philadelphia working paper 97-12Google Scholar
  19. Carlino G, Sill K (1997) Regional economies: separating trends from cycles. Federal Reserve Bank of Philadelphia: Business Review, pp 1–13Google Scholar
  20. Carlino G, Sill K (2001) Regional income fluctuations: common trends and common cycles. Rev Econ Stat 83(3): 46–456CrossRefGoogle Scholar
  21. Clark TO, van Wincoop E (2001) Borders and business cycles. J Int Econ 55(1): 59–85CrossRefGoogle Scholar
  22. Croux C, Forni M, Reichlin L (2001) A measure of comovements for economic variables: theory and empirics. Rev Econ Stat 83(2): 232–241CrossRefGoogle Scholar
  23. Dolado JJ, María-Dolores R (2001) An empirical study of the cyclical effects of monetary policy in Spain (1977–1997). Investigaciones Económicas XXV(1): 3–30Google Scholar
  24. Dolado JJ, Sebastián M, Vallés M (1993) Cyclical patterns of the Spanish economy. Investigaciones Económicas I. XVII(3): 445–473Google Scholar
  25. Doménech R, Gómez V (2005) Ciclo económico y desempleo estructural en la economía española. Investigaciones Económicas XXIX(2): 259–288Google Scholar
  26. Forni M, Haillin M, Lippi M, Reichlin L (2004) The generalized dynamic-factor model: identification and estimation. Rev Econ Stat 82(4): 540–554CrossRefGoogle Scholar
  27. Gadea MD, Gómez-Loscos A, Montañés A (2006) How many regional business cycles are there in Spain? A MS-VAR approach. Documento de trabajo Fundear (Serie Investigación), 27Google Scholar
  28. Garrison CB, Chang HS (1979) The effect of monetary and fiscal policies on regional business cycles. Int Reg Sci Rev 4(2): 167–180CrossRefGoogle Scholar
  29. Geweke J (1977) The dynamic factor analysis of economic time series. In: Aigner DJ, Goldberger AS (eds) Latent variables in socio-economic models. North-Holland, AmsterdamGoogle Scholar
  30. Giannone D, Reichlin L, Sala L (2004) Monetary policy in real time. NBER Macroeconomics Annual, pp 161–200Google Scholar
  31. Gómez V, Maravall A (1996) Programs TRAMO and SEATS. Instructions for the User. Working paper 9628, Research Department, Bank of Spain (with several updates)Google Scholar
  32. Hamilton JD (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57: 357–384CrossRefGoogle Scholar
  33. Hamilton JD (2001) Comment on “A comparison of two business cycle dating methods”. MimeoGoogle Scholar
  34. Hamilton JD, Owyang MT (2009) The propagation of regional recessions. Federal Reserve Bank of St. Louis working paper no. 2009-013Google Scholar
  35. Harding D, Pagan A (2002a) Dissecting the cycle: amethodological investigation. JMonetEcon 49(2):365–381Google Scholar
  36. Harding D, Pagan A (2002b) A comparison of two business cycle dating methods. J Econ Dyn Control 27: 1681–1690CrossRefGoogle Scholar
  37. Harding D, Pagan A (2003) Rejoinder to James Hamilton. J Econ Dyn Control 27: 1695–1698CrossRefGoogle Scholar
  38. Harding D, Pagan KD (2006) Synchronization of cycles. J Econom 132(1): 59–79CrossRefGoogle Scholar
  39. Kaiser R, Maravall A (2005) Combining filter design with model-based filtering (with an application to business-cycle estimation). Int J Forecast 21: 691–710CrossRefGoogle Scholar
  40. Kouparitsas MA (2002) Understanding US regional cyclical comovements: how important are spillovers and common shocks?. Federal Reserve Bank Chicago Econ Perspect 24(4): 30–41Google Scholar
  41. Kozlowski PJ (1995) Money and interest rates as predictors of regional economic activity. Rev Reg Stud 25(2): 143–157Google Scholar
  42. Ledoit O, Wolf M (2003) Improved estimation of the covariance matrix of stock returns with an application to portfolio selection. J Empir Financ 10(5): 603–621CrossRefGoogle Scholar
  43. Maravall A (1993) Stochastic Linear Trends: Models and Estimators. J Econom 56: 5–37CrossRefGoogle Scholar
  44. McKay A, Reis R (2008) The brevity and violence of contractions and expansions. J Monet Econ 55: 738–751CrossRefGoogle Scholar
  45. Metzler LA (1950) A multiple-region theory of income and trade. Econometrica 18(4): 329–354CrossRefGoogle Scholar
  46. Mönch E, Uhlg H (2005) Towards a Monthly Business Cycle Chronology for the Euro Area. J Bus Cycle Meas Anal 2: 43–69CrossRefGoogle Scholar
  47. Owyang MT, Piger J, Wall HJ (2005) Business cycle phases in U.S. States. Rev Econ Stat 87(4): 604–616CrossRefGoogle Scholar
  48. Politis DN, Romano J (1994) The stationary bootstrap. J Am Stat Assoc 89: 1303–1313CrossRefGoogle Scholar
  49. Rodríguez G, Villemaire J (2004) Identifying and measuring Canadian regional business cycles using MS-VAR models. Mimeo, University of OttawaGoogle Scholar
  50. Sargent TJ, Sims CA (1977) Business cycle modeling without pretending to have too much a-priori economic theory. In: Sims C et al (eds) New methods in business cycle research. Federal Reserve Bank of Minneapolis, MinneapolisGoogle Scholar
  51. Schumpeter JA (1939) Business cycles: a theoretical, historical and statistical analysis of the capitalist process, vol I. McGraw-Hill, New York. New Edition Porcupine Pr (November 1989)Google Scholar
  52. Stock JH, Watson M (2010, forthcoming). Dynamic factor models. In: Clements MP, Hendry DF (eds) Oxford handbook of economic forecasting. Oxford University PressGoogle Scholar
  53. Timm NH (2002) Applied multivariate analysis. Springer text in statistics. Springer, New YorkGoogle Scholar
  54. Watson M (1994) Business cycle durations and postwar stabilization of the U.S. Economy. Am Econ Rev 84(1): 24–46Google Scholar
  55. Watson M (2004) Comment on Giannone, Reichlin and Sala. NBER Macroeconomics Annual 2004, pp 216–221Google Scholar

Copyright information

© The Author(s) 2011

This article is published under license to BioMed Central Ltd. Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Maria Dolores Gadea
    • 1
    Email author
  • Ana Gómez-Loscos
    • 2
  • Antonio Montañés
    • 1
  1. 1.Department of Applied EconomicsUniversidad de ZaragozaSaragossaSpain
  2. 2.Fundear and Universidad de ZaragozaSaragossaSpain

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