Estimating output gap: A beauty contest approach

Artikel

Over the last decades, the estimation of the slack in the economy has become an essential piece of analysis for policymakers, both on the monetary policy and the fiscal policy front. Output gap estimation techniques have flourished accordingly, although there is no consensus on a best-performing methodology, as the selection criteria often imply important trade-offs. This paper presents a novel approach putting the focus on the specification of the model rather than on a prior selection of the methodology itself. Ideally, an agreeable method should achieve three necessary conditions: economic soundness, statistical goodness and transparency. On top of this, consistency with the business cycle narrative, as often implemented by policymakers, is also a critical condition. In practice, fulfilling these conditions can prove to be challenging. The main issues in practice are related to the specification of the model, the selection of the relevant variables, the stability and uncertainty of the estimates and its use on a real-time basis. This paper presents a methodological approach based on a structural multivariate time series model and Kalman filtering. The method fulfils the necessary criteria and allows for enough flexibility in order to get a country-specific approximation to the sufficient criterion as it could accommodate specific cycles (financial, external, investment, fiscal, etc.). The method is put to the test with an illustration for the Spanish economy, assessing its merits as well as its limitations.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: SERIEs - Journal of the Spanish Economic Association ; ISSN: 1869-4195 ; Volume: 9 ; Year: 2018 ; Issue: 3 ; Pages: 275-304 ; Heidelberg: Springer

Classification and Topics

• Classification: Wirtschaft ; Bayesian Analysis: General ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Model Construction and Estimation ; Forecasting Models; Simulation Methods ; Optimization Techniques; Programming Models; Dynamic Analysis
• Subject: Spanish economy ; Output gap ; Kalman filter ; Business cycle

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Cuerpo, Carlos ; Cuevas, Ángel ; Quilis, Enrique M.
• Event: Veröffentlichung
• (who): Springer
• (where): Heidelberg
• (when): 2018

Further information

• DOI: doi:10.1007/s13209-018-0181-5
• Handle: http://hdl.handle.net/10419/195276
• Last update: 25.11.2027, 11:44 AM CET