To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...

Money long-run super-neutrality and the vertical long-run Phillips curve are two widely shared beliefs in the economics profession and among economic policy-makers. The present survey is devoted to anomalous empirical evidence which challenges this view. We consider a variety of studies,...

We adopt an unobserved components time series model to extract financial cycles for the United States and the five largest euro area countries over the period 1970 to 2014. We find that credit, the credit-to-GDP ratio and house prices have medium-term cycles which share a few common statistical...

This paper analyses the stochastic properties of and the bilateral linkages between the central bank policy rates of the US, the Eurozone, Australia, Canada, Japan and the UK using fractional integration and cointegration techniques respectively. The univariate analysis suggests a high degree of...

We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the high-dimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors....

While the employment effects of minimum wages are usually reported to be small (suggesting low substitutability between skill types), direct estimates suggest a much larger degree of substitutability. This paper argues that this paradox is largely due to a bias induced by the aggregation of...

In this paper we derive a structural measure for labor market density based on the Ellison and Glasear (1997) "Index for industry concentration". This labor market density measure serves as a proxy for the number of workers that can reach a certain work area within a reasonal amount of traveling...

In this paper we present an exact maximum likelihood treatment forthe estimation of a Stochastic Volatility in Mean(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable in the mean equation. The same extension...

In this paper we attempt to explain individual, ordinally comparable,satisfaction levels. We postulate a simultaneous equation model where general satisfaction isexplained by exogenous shock and level variables, and by the values of the satisfactionswith respect to six distinct endogenous...