Bivariate time series data often show strong relationships between the two components, while both individual variables can be approximated by random walks in the short run and are obviously bounded in the long run. Three model classes are considered for a time-series model selection problem:...

This paper develops a new approach to studying how electoral bias in favor of one party due to the pattern of districting affects policy choice. We tie a commonly used measure of bias to the theory of party compe- tition and show how this affects policy choice. The usefulness of the approach is...

This paper develops an approach to studying how bias in favor of one party due to the pattern of electoral districting affects policy choice. We tie a commonly used measure of electoral bias to the theory of party competition and show how this affects party strategy in theory. The usefulness of...

We analyze the impact of product market competition on unemployment and wages, and how this depends on labour market institutions. We use differential changes in regulations across OECD countries over the 1980s and 1990s to identify the effects of competition. We find that increased product...

The user cost elasticity is a parameter of considerable importance in economics, with implications for the effects of budget deficits, tax-based savings incentives, monetary policy, corporate taxes, and tariffs and quotas on capital goods. This paper analyzes the econometric issues that account...

We use an equilibrium search framework to model a formal- informal sector labour market where the informal sector arises endogenously. In our model large firms will be in the formal sector and pay a wage premium, while small firms are characterised by low wages and tend to be in the informal...

This paper proposes a strategy to increase the efficiency of forecast combination. Given the availability of a wide range of forecasts for the same variable of interest, our goal is to apply combining methods to a restricted set of models. To this aim, a hierarchical procedure based on an...

This paper proposes a strategy to increase the efficiency of forecast combining methods. Given the availability of a wide range of forecasting models for the same variable of interest, our goal is to apply combining methods to a restricted set of models. To this aim, an algorithm procedure based...