Empirical evidence suggests that positive externalities from R&D exceed negative ones. According to conventional wisdom, this calls for R&D subsidies. This paper develops a quality-ladder growth model with overlapping generations which evaluates the positive and normative implications of R&D...

We discuss public pension systems in a multi-period overlapping generations model with gerontologically founded human aging and a special focus on occupation-specific morbidity and mortality. We examine how distinct replacement rates for white-collar and blue-collar workers and early retirement...

This paper proposes a pair-wise approach to testing for output convergence that considers all N(N-1)/2 possible pairs of log per capita output gaps across N economies. A general probabilistic definition of output convergence is also proposed, which suggests that all such output gap pairs must be...

During industrialization, Protestants were more literate than Catholics. This paper investigates whether this fact may be led back to the intrinsic motivation of Protestants to read the bible and whether other education motives were involved as well. We employ a historical data set from...

Incumbent firms have two basic possibilities to improve their competitive position in the product market: investment in R&D and the creation of entry barriers to the disadvantage of potential rivals, e.g. through lobbying activities, campaign contributions, bribes or the adoption of incompatible...

This paper examines the role of both cost-sharing schemes in health insurance systems and entry regulation for pharmaceutical R&D expenditure, drug prices, aggregate productivity, and income. The analysis suggests that both an increase in the coinsurance rate and stricter price regulations...

This paper presents a new approach to estimation and inference in panel data models with a multifactor error structure where the unobserved common factors are (possibly) correlated with exogenously given individual-specific regressors, and the factor loadings differ over the cross section units....

This paper considers alternative approaches to the analysis of large panel data models in the presence of error cross section dependence. A popular method for modelling such dependence uses a factor error structure. Such models raise new problems for estimation and inference. This paper compares...