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2014 | 2 | nr 12 | 186--202
Tytuł artykułu

Datation et prévision du cycle économique

Autorzy
Warianty tytułu
Dating and Forecasting the Economic Cycle
Języki publikacji
FR
Abstrakty
L'objet de cet article est de dater et prévoir les diff érentes phases - expansions et contractions - de l'activité économique. Il présente d'abord les procedures de datation, paramétriques, notamment le modèle à changements de régime, et non paramétriques. Il développe ensuite un modèle probit dynamique, bien adapté à la prévision des points de retournement de la conjoncture. Ces diff érents modèles sont enfi n appliqués, avec succès, sur l'exemple du produit intérieur brut français.(abstrakt oryginalny)
EN
The objective of this paper is to date and to forecast the various stages - expansions and contractions - of economic activity. It first presents dating procedures, both non-parametric and parametric, the latter based on the Markov-switching model. It then develops a dynamic probit model, specifically designed to forecast the turning points of the conjuncture. Finally, these models are successfully applied to a data series of the French GDP.(original abstract)
Rocznik
Tom
2
Numer
Strony
186--202
Opis fizyczny
Twórcy
  • Université de Lorraine, France
Bibliografia
  • Aimar, T., Bismans, F., Diebolt, C., 2010, Le cycle économique: une synthèse, Revue française d'économie, vol. 24, pp. 3-55.
  • Bismans, F., Majetti, R., 2012, L'économie française est-elle en récession? Les enseignements d'un modèle économétrique, Économie appliquée, vol. 65, pp. 161-172.
  • Bismans, F., Majetti, R., 2013, Forecasting Recessions Using Financial Variables: the French Case, Empirical Economics, vol. 44, pp. 419-433.
  • Bry, G., Boschan, C., 1971, Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, NBER, New York.
  • Burns, A., Mitchell, W., 1946, Measuring Business Cycles, NBER, New York.
  • Chauvet, M., Potter, S., 2005, Forecasting Recessions Using the Yield Curve, Journal of Forecasting, vol. 24, pp. 77-103.
  • Chin, D., Geweke, J, Miller, P., 2000, Predicting Turning Points, Federal Reserve Bank of Minneapolis, Research Department Staff Report, vol. 267.
  • Clements, M.P., Hendry, D.F., 1998, Forecasting Economic Time Series, Cambridge University Press, Cambridge.
  • Cosslett, S. R., Lee, L., 1985, Serial Correlation in Discrete Variable Models, Journal of Econometrics, vol. 27, pp. 79-97.
  • de Jong, R.M., Woutersen, T., 2011, Dynamic Time Series Binary Choice, Econometric Theory, vol. 27, pp. 673-702.
  • Del Negro, M., 2001, Turn, Turn, Turn: Predicting Turning Points in Economic Activity, Federal Reserve Bank of Atlanta Economic Review, vol. 86, pp. 1-12.
  • Dueker M.J., 1997, Strengthening the Case for the Yield Curve as a Predictor of U.S. Recessions, Federal Reserve Bank of Saint Louis Review, vol. 79, pp. 41-51.
  • Estrella, A., Hardouvelis, G., 1991, The Term Structure as a Predictor of Real Economic Activity, Journal of Finance, vol. 46, pp. 555-576.
  • Estrella, A, Mishkin, F., 1997, The Predictive Power of Term Structure on Interest Rates in Europe and United-States: Implication for the European Central Bank, European Economic Review, vol. 41, pp. 1375-1401.
  • Estrella, A., Mishkin, F., 1998, Predicting U.S. Recessions: Financial Variables as Leading Indicators, Review of Economics and Statistics, vol. 80, pp. 45-61.
  • Eichengreen, B., Watson, M., Grossman, R., 1985, Bank Rate Policy Under the Interwar Gold Standard: a Dynamic Probit Model, Economic Journal, vol. 95, pp. 725-745.
  • Hamilton, J.D., 1989, A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle, Econometrica, vol. 57, pp. 357-384.
  • Hamilton, J.D., 2003, Comment on 'a Comparison of Two Business Cycle Dating Methods', Journal of Economic Dynamics and Control, vol. 27, pp. 1691-1693
  • Harding, D., Pagan, A., 2002, Dissecting the Cycle: a Methodological Investigation, Journal of Monetary Economics, vol. 49, pp. 365-381.
  • Harding, D., Pagan, A., 2003a, A Comparison of Two Business Cycle Dating Methods, Journal of Economic Dynamics and Control, vol. 27, pp. 1681-1690.
  • Harding, D., Pagan, A., 2003b, Rejoinder to James Hamilton, Journal of Economic Dynamics and Control, vol. 27, pp. 1695-1698.
  • Harding, D., Pagan, A., 2010, Can We Predict Recessions?, NCER Working Paper, vol. 69.
  • Hendry, D.F., 1993, Econometrics: Alchemy or Science?, Blackwell Publishers, Oxford.
  • Majetti, R.,2012, Caractérisation et datation des cycles économiques: le cas français, Revue d'économie politique, vol. 122, pp. 365-403.
  • Kauppi, H., Saikkonen, P., 2008, Predicting U.S. Recessions with Dynamic Binary Response Models, Review of Economics and Statistics, vol. 90, pp. 777-791.
  • Marcellino, M., Stock, J.H., Watson, M.W., 2006, A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Series, Journal of Econometrics, vol. 135, pp. 499-526.
  • Moneta, F., 2005, Does the Yield Spread Predict Recessions in the Euro Area?, International Finance, vol. 8, pp. 263-301.
  • Morley, J, Piger, J., 2006, The Importance of Nonlinearity in Reproducing Business Cycle Features, dans: Milas, C., Rothman, Ph., Van Dijck, D. (eds.), Nonlinear Time Series Analysis of Business Cycles, Elsevier, Amsterdam.
  • NBER, 2014, Business Cycles Expansions and Contractions, consultable sur Internet: http://www.nber.org/cycles.html.
  • Nyholm, K., 2007, A New Approach to Predicting Recessions, Economic Notes, vol. 36, pp. 27-42.
  • Startz, R., 2008, Binomial Autoregressive Moving Average Models with an Application to U.S. Recessions, Journal of Business and Economic Statistics, vol. 26, pp. 1-8.
  • Stock, J.H., Watson, M.W., 2003, Forecasting Output and Inflation: the Role of Asset Prices, Journal of Economic Literature, vol. 41, pp. 788-829.
  • Wheelock, D.C., Wohar, M.E., 2009, Can the Term Spread Predict Output Growth and Recessions? A Survey of the Literature, Federal Reserve Bank of St. Louis Review, vol. 91, pp. 419-440.
  • Zeger, S.L., Qaqish, B., 1988, Markov Regression Models for Time Series: a Quasi-likelihood Approach, Biometrics, vol. 44, pp. 1019-1031.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171357471

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