Co-movement of Government Debt and Economic Growth in the Euro-area: A Bayesian Dynamic Factor Model Analysis

References

• Barro, R. J. (1989). The Ricardian approach to budget deficits. Journal of Economic Perspectives, 3(2), 37–54. doi: 10.1257/jep.3.2.37
   Web of Science ®Google Scholar
• BaumA.Checherita-WestphalC.RotherP. (2012). Debt and growth: new evidence for the euro area BSP International Research Conference on Contemporary Challenges to Monetary Policy, Conference Paper No. 4
   Google Scholar
• Boivin, J., Ng, S. (2006). Are more data always better for factor analysis?. Journal of Econometrics, 132, 169–194. doi: 10.1016/j.jeconom.2005.01.027
   Web of Science ®Google Scholar
• Carvalho, V. M., Harvey, A. C. (2005). Convergence in the trends and cycles of Euro-zone income. Journal of Applied Econometrics, 20(2), 275–289. doi: 10.1002/jae.820
   Web of Science ®Google Scholar
• Cecchetti, S. G., Mohanty, M. S., Zampolli, F. (2011). The real effects of debt, BIS Working Papers No. 352.
   Google Scholar
• Checherita, C., Rother, P. (2010). The impact of high and growing government debt on economic growth-an empirical investigation for the euro area. European Central Bank Working Paper Series No. 1237
   Google Scholar
• Crucini, M. J., Kose, M. A., Otrok, C. (2011). What are the driving forces of international business cycles?. Review of Economic Dynamics, 14(1), 156–175. doi: 10.1016/j.red.2010.09.001
   Web of Science ®Google Scholar
• Eisner, R. (1984). Which budget deficits? Some issues of measurement and their implications. The American Economic Review, (pp. 138–143). May
   Google Scholar
• Eisner, R. (1992). Deficits: Which, how much, and so what?. The American Economic Review, (pp. 295–298). May
   Google Scholar
• Elliott, G., Rothenberg, T. J., Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–816. doi: 10.2307/2171846
   Web of Science ®Google Scholar
• Ferreira, C. (2009). Public debt and economic growth: A granger causality panel data approach. Working Paper 24/2009/DE/UECE, Technical University of Lisbon
   Google Scholar
• Friedman, B. (1978). Crowding out or crowding in? Economic consequences of financing government deficits. Brookings Papers on Economic Activity, 9(3), 593–641. doi: 10.2307/3217952
   Google Scholar
• Geweke, J. (1977). The dynamic factor analysis of economic time series models. In AignerJ.GoldbergerA. S. (Ed.), Latent Variables in Socioeconomic Models, (pp. 365–383). Amsterdam: North-Holland.
   Google Scholar
• Hein, E., Truger, A. (2005). European Monetary Union: Nominal convergence, real divergence and slow growth?. Structural Change & Economic Dynamics, 16(1), 7–33. doi: 10.1016/S0954-349X(03)00049-3
   Google Scholar
• Keho, Y. (2010). Budget deficits and economic growth: Causality evidence and policy implications for WAEMU countries. European Journal of Economics, Finance and Administrative Sciences, 18, 99–104.
   Google Scholar
• Kose, M. A., Otrok, C., Whiteman, C. (2003). International business cycles: World, region, and country specific factors. The American Economic Review, 93, 1216–1239. doi: 10.1257/000282803769206278
   Web of Science ®Google Scholar
• Kose, M. A., Otrok, C., Whiteman, C. (2008). Understanding the evolution of world business cycles. Journal of International Economics, 75(1), 110–130. doi: 10.1016/j.jinteco.2007.10.002
   Web of Science ®Google Scholar
• Kose, M. A., Otrok, C., Prasad, E. (2010). Global business cycles: Convergence or decoupling?. NBER Working Paper No.14292
   Google Scholar
• Kumar, M. S., Woo, J. (2010). Public debt and growth. IMF Working Papers, 10/174
   Google Scholar
• Martellato, D. (2008). Economic integration and macroeconomic convergence in the euro area. Working paper 2008_34, Department of Economics, University of Venice ‘Ca’ Foscari’
   Google Scholar
• Misztal, P. (2010). Public debt and economic growth in the European Union. Journal of Applied Economic Sciences, 3(13), 292–302.
   Google Scholar
• Modigliani, F. (1961). Long-run implications of alternative fiscal policies and the burden of the national debt. Economic Journal, 71(284), 730–755. doi: 10.2307/2228247
   Web of Science ®Google Scholar
• Mumtaz, H., Simonelli, S., Surico, P. (2011). International comovements, business cycles and inflation: an historical perspective. Review of Economic Dynamics, 14(1), 176–198. doi: 10.1016/j.red.2010.08.002
   Web of Science ®Google Scholar
• Ng, S., Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69, 1519–1554. doi: 10.1111/1468-0262.00256
   Web of Science ®Google Scholar
• Otrok, C., Whiteman, C. (1998). Bayesian leading indicators: Measuring and predicting economic conditions in Iowa. International Economic Review, 39(4), 997–1014. doi: 10.2307/2527349
   Web of Science ®Google Scholar
• Pattillo, C., Poirson, H., Ricci, R. (2002). External debt and growth. IMF Working Papers, 02/69
   Google Scholar
• Reinhart, C. M., Rogoff, K. S. (2010). Growth in a time of debt. The American Economic Review: Papers and Proceedings, 100, 573–578. doi: 10.1257/aer.100.2.573
   Web of Science ®Google Scholar
• Sargent, T. J., Sims, C. (1977). Business cycles modeling without pretending to have too much a priori economic theory. New Methods in Business Cycle Research, Minneapolis: Federal Reserve Bank of Minneapolis. in: C.A. Sims et al.
   Google Scholar
• Schclarek, A. (2005). Debt and economic growth in developing industrial countries. Working Papers No. 34, Department of Economics, Lund University
   Google Scholar
• Stock, J. H., Watson, M. W. (1989). New indexes of coincident and leading economic indicators. In BlanchardO. J.FischerS. (Ed.), NBER Macroeconomics Annual 4, (pp. 351–394). Cambridge: MIT Press.
   Google Scholar
• Stock, J. H., Watson, M. W. (1991). A probability model of the coincident economic indicators. In LahiriK.MooreG. H. (Ed.), Leading Economic Indicators: New Approaches and Forecasting Records, (pp. 63–89). Cambridge: Cambridge University Press.
   Google Scholar
• Stock, J. H., Watson, M. W. (2011). Dynamic factor models. In ClementsM. P.HendryD. F. (Ed.), Oxford Handbook of Forecasting, Oxford: Oxford University Press.
   Google Scholar
• Watson, M. W., Engle, R. F. (1983). Alternative algorithms for the estimation of dynamic factor, MIMIC and varying coefficient regression models. Journal of Econometrics, 23, 385–400. doi: 10.1016/0304-4076(83)90066-0
   Web of Science ®Google Scholar