Models to date the business cycle: The Italian case
The problem of dating the business cycle has recently received many contributions, with a lot of proposed statistical methodologies, parametric and non-parametric. In general, these methods are not used in official dating, which is carried out by experts, who use their subjective evaluations of the state of economy. In this work we try to apply some statistical procedures to obtain an automatic dating of the Italian business cycle in the last 30 years, checking differences among various methodologies and with the ISAE chronology. The purpose of this exercise is to verify if purely statistical methods can reproduce the turning points detection proposed by economists, so that they could be fruitfully used in official dating. To this end parametric as well as non-parametric methods are employed. The analysis is carried out both aggregating results from single time series and directly in a multivariate framework. The different methods are also evaluated with respect to their ability to timely track (ex post) turning points.
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- Marianne Baxter & Robert G. King, 1999.
"Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series,"
The Review of Economics and Statistics,
MIT Press, vol. 81(4), pages 575-593, November.
- Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
- Tom Doan, . "BKFILTER: RATS procedure to implement band pass filter using Baxter-King method," Statistical Software Components RTS00026, Boston College Department of Economics.
- Altissimo, F. & Marchetti, D.J. & Oneto, G.P., 2000. "The Italian Business Cycle: Coincident and Leading Indicators and Some Stylized Facts," Papers 377, Banca Italia - Servizio di Studi.
- Fernandez, Roque B, 1981.
"A Methodological Note on the Estimation of Time Series,"
The Review of Economics and Statistics,
MIT Press, vol. 63(3), pages 471-76, August.
- Tom Doan, . "CHOWLIN: RATS procedure to distribute a series to a higher frequency using related series," Statistical Software Components RTS00036, Boston College Department of Economics.
- Tom Doan, . "DISAGGREGATE: RATS procedure to implement general disaggregation (interpolation/distribution) procedure," Statistical Software Components RTS00050, Boston College Department of Economics.
- Artis, Michael J & Kontolemis, Zenon G & Osborn, Denise R, 1997. "Business Cycles for G7 and European Countries," The Journal of Business, University of Chicago Press, vol. 70(2), pages 249-79, April.
- Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, March.
- Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
- Diebold, Francis X & Rudebusch, Glenn D, 1989.
"Scoring the Leading Indicators,"
The Journal of Business,
University of Chicago Press, vol. 62(3), pages 369-91, July.
- Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-47, July-Sept.
- Diebold, Francis X & Rudebusch, Glenn D, 1996.
"Measuring Business Cycles: A Modern Perspective,"
The Review of Economics and Statistics,
MIT Press, vol. 78(1), pages 67-77, February.
- Giancarlo Bruno & Claudio Lupi, 2004.
"Forecasting industrial production and the early detection of turning points,"
Springer, vol. 29(3), pages 647-671, 09.
- Bruno, Giancarlo & Lupi, Claudio, 2003. "Forecasting Industrial Production and the Early Detection of Turning Points," Economics & Statistics Discussion Papers esdp03004, University of Molise, Dept. EGSeI.
- Bruno Giancarlo & Lupi Claudio, 2001. "Forecasting Industrial Production and the Early Detection of Turning POints," ISAE Working Papers 20, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Giancarlo Bruno & Claudio Lupi, 2001. "Forecasting Industrial Production and the Early Detection of Turning Points," Econometrics 0110004, EconWPA.
- Chang-Jin Kim & Charles R. Nelson, 1998. "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, MIT Press, vol. 80(2), pages 188-201, May.
- Edoardo Otranto & Giampiero Gallo, 2002.
"A Nonparametric Bayesian Approach To Detect The Number Of Regimes In Markov Switching Models,"
Taylor & Francis Journals, vol. 21(4), pages 477-496.
- Edoardo Otranto & Giampiero M. Gallo, 2001. "A Nonparametric Bayesian Approach to Detect the Number of Regimes in Markov Switching Models," Econometrics Working Papers Archive wp2001_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Garcia-Ferrer, Antonio & Bujosa-Brun, Marcos, 2000. "Forecasting OECD industrial turning points using unobserved components models with business survey data," International Journal of Forecasting, Elsevier, vol. 16(2), pages 207-227.
- Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, March.
- Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, March.
- Harding, Don & Pagan, Adrian, 2006. "Synchronization of cycles," Journal of Econometrics, Elsevier, vol. 132(1), pages 59-79, May.
- Edoardo Otranto, 2005. "Extracting a Common Cycle from Series with Different Frequency: An Application to the Italian Economy," Journal of Business Cycle Measurement and Analysis, OECD Publishing,Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 407-429.
- Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1 National Bureau of Economic Research, Inc.
- Vincent, BODART & Konstantin, KHOLODILIN & Fati, SHADMAN-MEHTA, 2005. "Identifying and Forecasting the Turning Points of the Belgian Business Cycle with Regime-Switching and Logit Models," Discussion Papers (ECON - Département des Sciences Economiques) 2005006, Université catholique de Louvain, Département des Sciences Economiques.
- Filippo Altissimo & Domenico J. Marchetti & Gian Paolo Oneto, 2000. "The Italian Business Cycle; Coincident and Leading Indicators and Some Stylized Facts," Temi di discussione (Economic working papers) 377, Bank of Italy, Economic Research and International Relations Area.
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