Collecting data for the analysis of past human rights violations is fraught with challenges. For example, individuals from or about whom data should be collected may be displaced, missing, or dead. Some reports of acts may be easier to find than others, and as a result, datasets will be biased...

Summary We consider estimating a probability density p based on a random sample from this density by a Bayesian approach. The prior is constructed in two steps, by first constructing priors on a collection of models each expressing a qualitative prior guess on the true density, and next...

Purpose This study aims to revisit the relationship between the stringency of employment protection legislation and entrepreneurship at the macro-level using time series data from 28 OECD countries. Design/methodology/approach To address model uncertainty, a Bayesian model averaging methodology...

Abstract There is ample evidence that the frequency of price adjustments differs substantially across sectors. This paper introduces sectoral heterogeneity in price stickiness into an otherwise standard sticky price model to study how it affects the dynamics of monetary economies. Qualitative...