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Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization

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  • Constantinescu, Mihnea
  • Nguyen, Anh D.M.

Abstract

This paper investigates the relative importance of unemployment versus credit in determining the potential level of real activity for a small open economy with a low degree of financialization. We use a multivariate unobserved component model (MUC) to derive the potential output and the 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. The inclusion of unemployment in the MUC model substantially improves the estimates of the output gap in real time. Adding information about credit further emphasizes the overheating of the economy in the pre-crisis period, both in real time and ex post. Including credit preserves the conclusions regarding turning points. We uncover a strong negative correlation between the model-implied unemployment gap (without accounting for credit) and real credit growth. Data revisions do not appear to be the primary source of revisions of output gap estimates.

Suggested Citation

  • Constantinescu, Mihnea & Nguyen, Anh D.M., 2018. "Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization," Economic Systems, Elsevier, vol. 42(4), pages 649-664.
    • Handle: RePEc:eee:ecosys:v:42:y:2018:i:4:p:649-664
    DOI: 10.1016/j.ecosys.2018.08.003
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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.

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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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