The dynamic properties of the The New Keynesian Phillips curve (NPC) is analysed within the framework of a small system of linear difference equations. We evaluate the empirical results of existing studies which uses `Euroland' and US data. The debate has been centered around the...

We give an appraisal of the New Keynesian Phillips curve (NPC) as an empirical model of European inflation. We show that existing evidence reported in favour of the NPC on Euro-area and country data is due to a corroborative research strategy. In particular, goodness-of-fit is a weak criterion,...

Three classes of inflation models are discussed: Standard Phillips curves, New Keynesian Phillips curves and Incomplete Competition models. Their relative merits in explaining and forecasting inflation are investigated theoretically and empirically. We establish that Standard Phillips-curve...

Inflation targeting requires inflation forecasts, yet most models in the literature are either theoretical or calibrated. The motivation for this paper is therefore threefold: We seek to test and implement an econometric model forforecasting inflation in Norway–one economy recently opting for...

After a forecast failure, a respecification is usually necessary to account for the data "ex post", in which case there is a gain in knowledge as a result of the forecast failure. Using Norwegian consumption as an example, we show that the financial deregulation in the mid-1980s led to forecast...

This paper investigates the determinants of Norwegian import prices of manufactures over the period 1970(1) - 1991(4). Multivariate cointegration analysis establishes a long-run relationship between import prices, foreign prices, the exchange rate and domestic unit labour costs. Normalized on...

Galí, Gertler and Lòpez-Salido (2005), GGL, assert that the hybrid New Keynesian Phillips curve, NPC, is robust to different choices of estimation procedure and so some forms of specification bias. Specifically, the dominance of forward-looking behavior is robust according to GGL. We assess...