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Unemployment or Credit: Who Holds The Potential? Results From a Small-Open Economy

Author

Listed:
  • Mihnea Constantinescu

    (Bank of Lithuania)

  • Anh Dinh Minh Nguyen

    (Bank of Lithuania)

Abstract

This paper investigates the importance of unemployment and credit in determining the potential level of real activity for a small-open economy with a low degree of financialization. We estimate a multivariate unobserved component model (MUC) to derive the potential output and its associated output gap for the Lithuanian economy. The model is estimated via Bayesian methods and the time-paths of unobserved variables are extracted via the Kalman filter. We find that the inclusion of unemployment into the MUC model substantially improves the estimates of output gap in real-time. Once information about unemployment is accounted for, adding information about credit does not substantially alter either the estimates of output gap or its performance in real time. We uncover a strong negative correlation between the model-implied unemployment gap (without credit) and real credit growth. This explains the relatively muted impact of the financial variable on the level and dynamics of the output gap. Data revisions appear not to be the primary source of revisions on output gaps estimates.

Suggested Citation

  • Mihnea Constantinescu & Anh Dinh Minh Nguyen, 2017. "Unemployment or Credit: Who Holds The Potential? Results From a Small-Open Economy," Bank of Lithuania Discussion Paper Series 4, Bank of Lithuania.
    • Handle: RePEc:lie:dpaper:4
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    1. Carlos de Resende & Ali Dib & René Lalonde & Nikita Perevalov, 2016. "Countercyclical Bank Capital Requirement and Optimized Monetary Policy Rules," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(10), pages 2267-2291, October.
    2. Tara M. Sinclair, 2009. "The Relationships between Permanent and Transitory Movements in U.S. Output and the Unemployment Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 529-542, March.
    3. 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.
    4. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    5. Mr. Christian H Ebeke & Greetje Everaert, 2014. "Unemployment and Structural Unemployment in the Baltics," IMF Working Papers 2014/153, International Monetary Fund.
    6. Günes Kamber & James Morley & Benjamin Wong, 2018. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," The Review of Economics and Statistics, MIT Press, vol. 100(3), pages 550-566, July.
    7. Melolinna, Marko & Tóth, Máté, 2016. "Output gaps, inflation and financial cycles in the United Kingdom," Bank of England working papers 585, Bank of England.
    8. John G. Fernald, 2015. "Productivity and Potential Output before, during, and after the Great Recession," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 1-51.
    9. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    10. Jiri Podpiera & Ms. Faezeh Raei & Ara Stepanyan, 2017. "A Fresh Look at Potential Output in Central, Eastern, and Southeastern European Countries," IMF Working Papers 2017/037, International Monetary Fund.
    11. Claudio Borio & Piti Disyatat & Mikael Juselius, 2014. "A parsimonious approach to incorporating economic information in measures of potential output," BIS Working Papers 442, Bank for International Settlements.
    12. Ali Alichi & Olivier Bizimana & Silvia Domit & Emilio Fernández Corugedo & Mr. Douglas Laxton & Kadir Tanyeri & Hou Wang & Fan Zhang, 2015. "Multivariate Filter Estimation of Potential Output for the Euro Area and the United States," IMF Working Papers 2015/253, International Monetary Fund.
    13. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
    14. Harvey, Andrew C. & Trimbur, Thomas M. & Van Dijk, Herman K., 2007. "Trends and cycles in economic time series: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 618-649, October.
    15. Karel Havik & Kieran Mc Morrow & Fabrice Orlandi & Christophe Planas & Rafal Raciborski & Werner Roeger & Alessandro Rossi & Anna Thum-Thysen & Valerie Vandermeulen, 2014. "The Production Function Methodology for Calculating Potential Growth Rates & Output Gaps," European Economy - Economic Papers 2008 - 2015 535, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Harvey, A C, 1985. "Trends and Cycles in Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 216-227, June.
    17. Harvey, A C & Todd, P H J, 1983. "Forecasting Economic Time Series with Structural and Box-Jenkins Models: A Case Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 299-307, October.
    18. Harvey, A C & Todd, P H J, 1983. "Forecasting Economic Time Series with Structural and Box-Jenkins Models: A Case Study: Response," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 313-315, October.
    19. Laurence M. Ball, 2009. "Hysteresis in Unemployment: Old and New Evidence," NBER Working Papers 14818, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Mariarosaria Comunale & Anh Dinh Minh Nguyen & Soroosh Soofi-Siavash, 2019. "Convergence and growth decomposition: an analysis on Lithuania," Bank of Lithuania Discussion Paper Series 17, Bank of Lithuania.
    2. Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.

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    More about this item

    Keywords

    Potential Output; Output Gap; Multivariate Unobserved Component; Kalman Filter; NAIRU; Real-Financial Cycle; Small-Open Economy;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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