This paper investigates the dynamic responses of employment flows to oil price shocks for the U.S. Manufacturing sector in the post-1973 period. Using the latest available data and state-of-the-art econometric methods of estimation and inference, I formally test for asymmetries in responses of...

This paper studies the dynamic effect of oil rents on industrial added value in a sample of countries with different levels of development. Using a SVAR model, we tested the effect of a real shock and a nominal shock on the variables of the model. The main obtained results are three. First, we...

We study how total factor productivity (TFP), energy prices, and the Great Moderation are linked. First we estimate a joint stochastic process for the energy price and TFP and establish that until the second quarter of 1982, energy prices negatively affected productivity. This spillover has...

In this paper we assess the impact of oil price shocks on oil-producer and oil-consumer economies. VAR models for different countries are linked together via a trade matrix, as in Abeysinghe (2001). As expected, we find that oil producers (Russia and Canada here) benefit from oil price shocks....

This paper studies macroeconomic consequences of oil price shocks caused by innovations in the monopoly power in the oil market. Monopoly power is interpreted as oil producers' ability to charge a markup over marginal costs. We propose a novel way to identify markup shocks based on meetings of...

Markov models introduce persistence in the mixture distribution. In time series analysis, the mixture components relate to different persistent states characterizing the state-specific time series process. Model specification is discussed in a general form. Emphasis is put on the functional form...

We show that a business-cycle component of consumption growth (dubbed business-cycle consumption) with cycles between 2 and 4 years is effective in explaining the differences in risk premia across alternative test assets, including recently-proposed anomaly portfolios. We formalize the mapping...

We represent risk factors as sums of orthogonal components capturing fluctuations with cycles of different length. The representation leads to novel spectral factor models in which systematic risk is allowed (without being forced) to vary across frequencies. Frequency-specific systematic risk is...

The chapter deals with parametric models for the measurement of the business cycle in economic time series. It presents univariate methods based on parametric trend - cycle decompositions and multivariate models featuring a Phillips type relationship between the output gap and inflation and the...

Previous research has found that the response of hours worked to a technology shock crucially depends on whether the variable hours is assumed to be an I(0) or an I(1) variable ex-ante. In this paper we employ a multivariate fractionally integrated model which allows us to determine...