Assessing the Uncertainty of the German NAIRU in a State Space Framework Using Different MSE Approximations

36 Pages Posted: 24 May 2005

Date Written: April 25, 2005

Abstract

This paper investigates uncertainty around point estimates of the German NAIRU in a state space framework. The relative accuracy of alternative MSE approximations for the states is compared using Monte Carlo simulations. A bootstrap method yields confidence intervals with the highest coverage probability compared with simulation-based and delta method MSE approximations. The degree of uncertainty of the German NAIRU is estimated with different models. Whereas a univariate model of unemployment renders the NAIRU almost uninformative, extending it to a trivariate model consisting of unemployment, inflation and output helps to decrease the uncertainty considerably. However, because there are long periods of time where differences between the NAIRU and observed employment are not significantly different, the overall uncertainty remains high.

Keywords: State space models, NAIRU, filter uncertainty, estimation uncertainty

JEL Classification: C15, E31, E32, E37

Suggested Citation

Schumacher, Christian, Assessing the Uncertainty of the German NAIRU in a State Space Framework Using Different MSE Approximations (April 25, 2005). Available at SSRN: https://ssrn.com/abstract=728306 or http://dx.doi.org/10.2139/ssrn.728306

Christian Schumacher (Contact Author)

Deutsche Bundesbank ( email )

Wilhelm-Epstein-Str. 14
Frankfurt/Main, 60431
Germany

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