We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...

To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a...

We assess the efficiency of monetary policy to guide inflation expectations in high and low regimes. Using quantile regression we analyze the persistence of inflation expectations from the Consensus Economics Survey at different quantiles. We find a) empirical evidence that expectations are not...

We estimate the quantitative importance of labour market institutions for equilibrium unemployment in OECD. The empirical equation for unemployment is based on the solution of a dynamic macroeconomic model where wages and prices are jointly determined with unemployment. Compared to existing...

We focus on the equilibrium unemployment rate as a parameter implied by a dynamic aggregate model of wage- and price setting. The equilibrium unemployment rate depends on institutional labour market institutions through mark-up coefficients. Compared to existing studies, the resulting final...

The begin and end dates of cartels are often ambiguous, despite competition authorities stating them with precision. The legally established infringement period(s), based on documentary evidence, need not coincide with the period(s) of actual cartel effects. In this paper, we show that misdating...

In this paper we propose a sequential method for determining the number of breaks in piecewise linear structural break models. An advantage of the method is that it is based on standard statistical inference. Tests available for testing linearity against switching regression type nonlinearity...

We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...

This paper extends previous studies in modeling and estimating demand for gasoline for Nigeria from 1977 to 2008. The ingenious attempt of this study, contrast to earlier studies on Nigeria and other developing countries, lies in its assumption of structural breaks in the long run relationship...