Arbeitspapier

Will the (German) NAIRU Please Stand up?

This paper deals with a critical assessment and a reestimation of the "non-accelerating in ation rate of unemployment" (NAIRU) for Germany. There are quite a few obstacles to perceiving the NAIRU as an understandable and easy-to-use analytical instrument, suitable for economic policy: the possibility of a non-vertical Phillips curve (e.g. in times of low in ation), the occurrence of shocks and hysteresis effects, the (mis-)measurement of important variables such as in ation expectations, cointegration issues, and a time variability of the NAIRU and its confidence intervals. Despite many serious caveats a new attempt is made to estimate a NAIRU for Germany based on conventional Phillips curves as well as on new approaches such as using direct measures of in ationary expectations, the Kalman filter method, and the residual-based bootstrap procedure (in order to estimate confidence intervals). However, by any method, simple or complex, the NAIRU is very hard to determine and subject to considerable arbitrariness.

Language
Englisch

Bibliographic citation
Series: ZEW Discussion Papers ; No. 03-35

Classification
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Price Level; Inflation; Deflation
Subject
NAIRU
unemployment
inflation
Phillips curve
natural rate
hysteresis
supply shocks
inflation expectations
Kalman filter
bootstrap
Natürliche Arbeitslosigkeit
Schätzung
Deutschland

Event
Geistige Schöpfung
(who)
Franz, Wolfgang
Event
Veröffentlichung
(who)
Zentrum für Europäische Wirtschaftsforschung (ZEW)
(where)
Mannheim
(when)
2003

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Franz, Wolfgang
  • Zentrum für Europäische Wirtschaftsforschung (ZEW)

Time of origin

  • 2003

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