We assess the extent to which the great US macroeconomic stability since the mid-1980s can be accounted for by changes in oil shocks and the oil share in GDP. To do this we estimate a DSGE model with an oil-producing sector before and after 1984 and perform counterfactual simulations. We nest...

Most of the studies existing in theoretical and empirical understanding of the macroeconomic consequences of oil price shocks have been focused on US aggregate data. In contrast to these studies, this paper assesses empirically the dynamic effects of oil price shocks on the output of the main...

An exogenous oil price shock raises inflation and contracts output, similar to a negative productivity shock. In the standard New Keynesian model, however, this does not generate a tradeoff between inflation and output gap volatility: under a strict inflation targeting policy, the output decline...

We present a general equilibrium model of the global oil market, in which the oil price, oil production, and consumption, are jointly determined as outcomes of the optimizing decisions of oil importers and oil exporters. On the supply side the oil market is modelled as a dominant firm – Saudi...

Saudi Arabia Is The Largest Player In The World Oil Market. It Maintains Ample Spare Capacity, Restricts Investment In Developing Reserves, And Its Output Is Negatively Correlated With Other Opec Producers. While This Behavior Does Not F T Into The Perfect Competition Paradigm, We Show That It...

Modern DSGE models are microfounded and have deep parameters that should be invariant to changes in economic policy, so in principle they are not subject to the Lucas critique. But the literature has already established that misspecification issues also cause parameter instability after policy...

This paper investigates the identification and dating of the European business cycle, using different methods. We concentrate on methods and statistical series that provides timely and accurate information about the contemporaneous state of the economy in order to provide the reader with a...

The paper contains some implications for applied econometric research. Two important ones are, first, that invertible models, such as AR or VAR models, cannot in general be used to model seasonally adjusted or detrended data. The second one is that to look at the business cycle in detrended...

Present practice in applied time series work, mostly at economic policy or data producing agencies, relies heavily on using moving average filters to estimate unobserved components in time series, such as the seasonally adjusted series, the trend, or the cycle. The purpose of the present paper...

Dynamic Stochastic General Equilibrium models are often tested against empirical VARs or estimated by minimizing the distance between the model's and the VAR impulse response functions. These methodologies require that the data-generating process consistent with the DSGE theoretical model has a...