Bayesian learning provides a core concept of information processing in financialmarkets. Typically it is assumed that market participants perfectly know the qual-ity of released news. However, in practice, news’ precision is rarely disclosed. Therefore, we extend standard Bayesian learning...

A large body of literature explains the inferior position of unskilled workersby imposing a structural shift in the labor force skill composition. This papertakes a different approach by emphasizing the connection between cyclicalvariations in skilled and unskilled labor markets. Using a...

Little is known about the relationship between family firms and their employees. This paper aims to close this gap. We distinguish between family management and family ownership as two dimensions of family firms and analyze their respective influence on downsizing. Our findings show that family...

I explore the implications of the lumpy labor adjustment as a propagation mechanism for aggregate dynamics. The model I use nests the basic RBC model with a staggeredjob-turnover in the spirit of Taylor (1980) and Calvo (1983). It extends this approach by introducing a Weibull-distributed labor...

Standard models of equilibrium unemployment assume exogenous labour market institutions and flexible wage determination. This paper models wage rigidity and collective bargaining endogenously, when workers differ by observable skill and may adopt either individualised or collective wage...

Using an administrative data set containing daily information on individual workers' employment histories, we investigate how workers' labour market transitions are affected by international outsourcing. In order to do so, we estimate hazard rate models for match separations, as well as for...

By using a unique data set of single-family house transactions, we examine theaccuracy of the cost and sales comparison approach over different forecast horizons. We find that sales comparison values provide better long-term forecaststhan cost values if the economic loss function is symmetric. A...

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. The Smolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...

In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...

Numerous studies have tried to provide a better understanding of firm-level investment behaviour using econometric models. The model specification of more recent studies has been based on two main approaches. The first, the real options approach, focuses on irreversibility and uncertainty in...