IDEAS home Printed from https://ideas.repec.org/p/aiz/louvar/2019014.html
   My bibliography  Save this paper

Forecasting of recessions via dynamic probit for time series: replication and extension of Kauppi and Saikkonen (2008)

Author

Listed:
  • Park, Byeong U.
  • Simar, Leopold
  • Zelenyuk, Valentin

Abstract

In this work, we first replicate the results of the fully parametric dynamic probit model for forecasting US recessions from Kauppi and Saikkonen (Rev Econ Stat 90(4):777–791, 2008) [which is in the spirit of Estrella and Mishkin (Rev Econ Stat 80(1):45–61, 1998) and Dueker (Rev Fed Reserve Bank St Louis 79(2):41–51, 1997)] and then contrast them to results from a nonparametric local-likelihood dynamic choice model for the same data. We then use expanded data to gain insights on whether these models could have warned the public about approach of the latest recession, associated with the Global Financial Crisis. Finally, we also apply both approaches to gain insights for 2018.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2019. "Forecasting of recessions via dynamic probit for time series: replication and extension of Kauppi and Saikkonen (2008)," LIDAM Reprints ISBA 2019014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2019014
    Note: In : Empirical Economics, vol. 58, p. 379-392 (2020)
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chi-Yang Chu & Daniel J. Henderson & Christopher F. Parmeter, 2015. "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data," Econometrics, MDPI, vol. 3(2), pages 1-16, March.
    2. Anna Florio, 2004. "The Asymmetric Effects of Monetary Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 18, pages 409-426, July.
    3. Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
    4. Henderson,Daniel J. & Parmeter,Christopher F., 2015. "Applied Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521279680.
    5. Peter Temin, 2010. "The Great Recession and the Great Depression," NBER Working Papers 15645, National Bureau of Economic Research, Inc.
    6. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    7. Anna Florio, 2004. "The Asymmetric Effects of Monetary Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 18(3), pages 409-426, July.
    8. Estrella, Arturo, 1998. "A New Measure of Fit for Equations with Dichotomous Dependent Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 198-205, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2021. "Predicting recessions with a frontier measure of output gap: an application to Italian economy," Empirical Economics, Springer, vol. 60(6), pages 2701-2740, June.
    2. Hasse, Jean-Baptiste & Lajaunie, Quentin, 2022. "Does the yield curve signal recessions? New evidence from an international panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 9-22.
    3. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2017. "Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008)," CEPA Working Papers Series WP032017, School of Economics, University of Queensland, Australia.
    2. Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2021. "Predicting recessions with a frontier measure of output gap: an application to Italian economy," Empirical Economics, Springer, vol. 60(6), pages 2701-2740, June.
    3. Mastromarco, Camilla & Simar, Leopold & Wilson, Paul, 2019. "Predicting Recessions: A New Measure of Output Gap as Predictor," LIDAM Discussion Papers ISBA 2019023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Henri Nyberg, 2010. "Dynamic probit models and financial variables in recession forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 215-230.
    5. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    6. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    7. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    8. Juan Carlos Cuestas & Merike Kukk, 2017. "Asymmetries in the interaction between housing prices and housing credit in Estonia," Bank of Estonia Working Papers wp2017-2, Bank of Estonia, revised 25 May 2017.
    9. Laine, Olli-Matti & Pihlajamaa, Matias, 2023. "Asymmetric effects of conventional and unconventional monetary policy when rates are low," Bank of Finland Research Discussion Papers 3/2023, Bank of Finland.
    10. Mary Everett & Jakob de Haan & David‐Jan Jansen & Peter McQuade & Anna Samarina, 2021. "Mortgage lending, monetary policy, and prudential measures in small euro‐area economies: Evidence from Ireland and the Netherlands," Review of International Economics, Wiley Blackwell, vol. 29(1), pages 117-143, February.
    11. Masagus M. Ridhwan & Henri L.F. de Groot & Peter Nijkamp, 2010. "The Impact of Monetary Policy on Economic Activity - Evidence from a Meta-Analysis," Tinbergen Institute Discussion Papers 10-043/3, Tinbergen Institute.
    12. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.
    13. K. Cuthbertson & D. Nitzsche & S. Hyde, 2007. "Monetary Policy And Behavioural Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 935-969, December.
    14. Ridhwan, M.M. & Nijkamp, P. & Rietveld, P., 2008. "Regional development and monetary policy : a review of the role of monetary unions, capital mobility and locational effects," Serie Research Memoranda 0007, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    15. Juan Carlos Cuestas & Merike Kukk, 2019. "Are there asymmetries in the interaction between housing prices and housing credit? Evidence from a country with rapid credit accumulation," Working Papers 2019/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    16. Apostolos Serletis & Khandokar Istiak, 2016. "Are the Responses of the U.S. Economy Asymmetric to Positive and Negative Money Supply Shocks?," Open Economies Review, Springer, vol. 27(2), pages 303-316, April.
    17. Bitros, George C., 2021. "Destabilizing asymmetries in central banking: With some enlightenment from money in classical Athens," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    18. Long, Shaobo & Pei, Hongxia & Tian, Hao & Li, Fangfang, 2021. "Asymmetric impacts of economic policy uncertainty, capital cost, and raw material cost on China’s investment," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 129-144.
    19. Ming-Yuan Leon Li, 2009. "Reexamining asymmetric effects of monetary and government spending policies on economic growth using quantile regression," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 137-154, September.
    20. Váry, Miklós, 2021. "The long-run real effects of monetary shocks: Lessons from a hybrid post-Keynesian-DSGE-agent-based menu cost model," Economic Modelling, Elsevier, vol. 105(C).

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiz:louvar:2019014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nadja Peiffer (email available below). General contact details of provider: https://edirc.repec.org/data/isuclbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.