A comparison of methods for the construction of composite coincident and leading indexes for the UK

International Journal of Forecasting

Volumn 23, Issue 2, 2007, Pages 219-236

  Carriero, Andrea ^a   Marcellino, Massimiliano ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b BOCCONI UNIVERSITY   (Italy)

Author keywords

Business cycles; Coincident indicators; Forecasting; Leading indicators; Turning points

Indexed keywords

EID: 34249312591     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijforecast.2007.01.005     Document Type: Article

References (56)

1. Altissimo F., Bassanetti A., Cristadoro R., Forni M., Lippi M., Reichlin L., et al. EuroCoin: A real time coincident indicator of the Euro area business cycle. CEPR working paper Vol. 3108 (2001)
2. Angelini E., Henry J., and Marcellino M. Interpolation with a large information set. Journal of Economic Dynamics and Control 30 (2006) 2693-2724
3. Artis M. Dating the business cycle in Britain. National Institute Economic Review 182 (2002) 90-95
4. Artis M., Bladen-Hovell R.C., Osborn D., Smith G.W., and Zhang W. Turning point prediction for the UK using CSO leading indicators. Oxford Economic Papers 47 (1995) 397-417
5. Artis M.J., Marcellino M., and Proietti T. Dating the Euro area business cycle. Oxford Bulletin of Economics and Statistics 66 (2004) 537-565
6. Bates J.M., and Granger C.W.J. The combination of forecasts. Operations Research Quarterly 20 (1969) 451-468
7. Bernard H., and Gerlach S. Does the term structure predict recessions? The international evidence. International Journal of Finance and Economics 3 (1998) 195-215
8. Birchenhall C.R., Jessen H., Osborn D.R., and Simpson P. Predicting US business cycle regimes. Journal of Business and Economic Statistics 17 3 (1999) 313-323
9. Birchenhall C., Osborn D.R., and Sensier M. Predicting UK business cycle regimes. Scottish Journal of Political Economy 48 (2001) 179-195
10. Burns A.F., and Mitchell W.C. Measuring business cycles. NBER studies in business cycles Vol. 2 (1946), National Bureau of Economic Research, New York:
11. Camacho M., and Perez-Quiros G. This is what the leading indicators lead. Journal of Applied Econometrics 17 (2002) 61-80
12. Carriero, A., & Marcellino, M. (2006). Monitoring the European Economy: A Comparison of Composite Coincident Indexes. Manuscript. Universita' Bocconi.
13. Clements M.P., and Hendry D.F. Multi-step estimation for forecasting. Oxford Bulletin of Economics and Statistics 58 (1996) 657-684
14. Clements M.P., and Hendry D.F. Forecasting non-stationary economic time series (1999), MIT Press, Cambridge, Mass:
15. Clement M., and Hendry D.F. Pooling of forecasts. Econometrics Journal 7 (2004) 1-31
16. Diebold F.X., Lee J.-H., and Weinbach G.C. Regime switching with time-varying transition probabilities. In: Hargreaves C. (Ed). Non-stationary time-series analyses and cointegration (1994), Oxford University Press, Oxford: 283-302
17. Diebold F.X., and Mariano R. Comparing predictive accuracy. Journal of Business and Economic Statistics 13 (1995) 253-263
18. Diebold F.X., and Rudebusch G.D. Scoring the leading indicators. The Journal of Business 62 3 (1989) 369-391
19. Diebold F.X., and Rudebusch G.D. Measuring business cycles: a modern perspective. The Review of Economics and Statistics 78 1 (1996) 67-77
20. Emerson R.A., and Hendry D.F. An evaluation of forecasting using leading indicators. Journal of Forecasting 15 (1996) 271-291
21. Estrella A., and Mishkin F.S. The predictive power of the term structure of interest rates in Europe and the United States: implications for the European Central Bank. European Economic Review 41 (1997) 1375-1401
22. Estrella A., and Mishkin F.S. Predicting US recessions: Financial variables as leading indicators. The Review of Economics and Statistics 80 (1998) 45-61
23. Fair R. Estimating event probabilities from macroeconomic models using stochastic simulation. In: Stock J.H., and Watson M.W. (Eds). Business cycles, indicators, and forecasting (1993), The University of Chicago Press, Chicago 157-178
24. Filardo A.J. Business cycle phases and their transitional dynamics. Journal of Business and Economic Statistics 12 3 (1994) 299-308
25. Filardo A.J., and Gordon S.F. Business cycle turning points: two empirical business cycle model approaches. In: Rothman P. (Ed). Nonlinear time series analysis of economic and financial data Vol. 1 Ch. 1 (1999), Kluwer Academic Publishers 1-32
26. Forni M., Hallin M., Lippi M., and Reichlin L. The generalized factor model: Identification and estimation. The Review of Economics and Statistics 82 4 (2000) 540-554
27. Forni M., Hallin M., Lippi M., and Reichlin L. The generalized dynamic factor model: One-sided estimation and forecasting. Journal of the American Statistical Association 100 (2005) 830-840
28. Granger C.W.J., and Ramanathan R. Improved methods of combining forecasts. Journal of Forecasting 3 (1984) 197-204
29. Hamilton J.D. A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57 (1989) 357-384
30. Hamilton J.D. Time series analysis (1994), Princeton University Press, Princeton
31. Hamilton J.D., and Perez-Quiros G. What do the leading indicators lead?. The Journal of Business 59 1 (1996) 27-49
32. Johansen S. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control 12 (1988) 231-254
33. Kim C.-J., and Nelson C.R. Business cycle turning points, a new coincident index, and tests of duration dependence based on a dynamic factor model with regime switching. The Review of Economics and Statistics 80 (1998) 188-201
34. Kling J.L. Predicting the turning points of business and economic time series. Journal of Business 60 2 (1987) 201-238
35. Krolzig H.M. Markov switching vector autoregressions. Modelling, statistical inference and application to business cycle analysis (1997), Springer, Berlin:
36. Krolzig H.M., Marcellino M., and Mizon G.E. A Markov-switching vector equilibrium correction model of the UK labour market. Empirical Economics 27 2 (2002) 233-254
37. Lahiri K., and Wang J. Predicting cyclical turning points with a leading index in a Markov switching model. Journal of Forecasting 13 (1994) 245-263
38. Li D.T., and Dorfman J.H. Predicting turning points through the integration of multiple models. Journal of Business and Economic Statistics 14 4 (1996) 421-428
39. Lütkepohl H. Forecasting aggregated vector ARMA processes (1987), Springer-Verlag, Berlin:
40. Lütkepohl H. Forecasting with VARMA Models. In: Elliott G., Granger C.W.J., and Timmermann A. (Eds). Handbook of Economic Forecasting Vol. 1 (2006), Elsevier 287-325
41. Marcellino M. Forecast pooling for short time series of macroeconomic variables. Oxford Bulletin of Economics and Statistics 66 (2004) 91-112
42. Marcellino M. Leading indicators. In: Elliott G., Granger C.W.J., and Timmermann A. (Eds). Handbook of Economic Forecasting Vol. 1 (2006), Elsevier 879-960
43. Marcellino M., Stock J.H., and Watson M.W. A comparison of direct and iterated AR methods for forecasting macroeconomic series h-steps ahead. Journal of Econometrics 135 (2006) 499-526
44. Mitchell J., Smith R.J., Weale M.R., Wright S., and Salazar E.L. An indicator of monthly GDP and an early estimate of quarterly GDP growth. Economic Journal 115 (2005) F108-F129
45. Moore G.H., and Shiskin J. Indicators of business expansions and contractions. NBER occasional paper Vol. 103 (1967)
46. Osborn D., Sensier M., and Simpson P.W. Forecasting UK industrial production over the business cycle. Journal of Forecasting 20 6 (2001) 405-424
47. Sims C.A., Stock J.H., and Watson M.W. Inference in linear time series models with some unit roots. Econometrica 58 (1990) 113-144
48. Stock J.H., and Watson M.W. New indexes of coincident and leading economic indicators. In: Blanchard O., and Fischer S. (Eds). NBER macroeconomics annual (1989), MIT Press, Cambridge, MA: 351-394
49. Stock J.H., and Watson M.W. A probability model of the coincident indicators. In: Lahiri K., and Moore G.H. (Eds). Leading economic indicators: New approaches and forecasting records (1991), Cambridge University Press, Cambridge, UK: 63-90
50. Stock J.H., and Watson M.W. A procedure for predicting recessions with leading indicators: econometric issues and recent experience. NBER working paper series Vol. 4014 (1992)
51. Stock J.H., and Watson M.W. A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series. In: Engle R., and White H. (Eds). Cointegration, causality, and forecasting - Festschrift in honour of Clive W. J. Granger (1999)
52. Stock J.H., and Watson M.W. Macroeconomic forecasting using diffusion indexes. Journal of Business and Economic Statistics 20 (2002) 147-162
53. Stock J.H., and Watson M.W. Forecasting using principal components from a large number of predictors. Journal of the American Statistical Association 97 (2002) 1167-1179
54. Stock J.H., and Watson M.W. Forecasting output and inflation: The role of asset prices. Journal of Economic Literature 41 3 (2003) 788-829
55. Timmermann A.G. Forecast combination. In: Elliott G., Granger C.W.J., and Timmermann A. (Eds). Handbook of economic forecasting. (2005), Elsevier
56. Wecker W.E. Predicting the turning points of a time series. Journal of Business 52 1 (1979) 35-50